Arbiter is the AI-powered care orchestration system that unites healthcare. We are launching our best-in-class, patient-facing Agentic platform to optimize patient outcomes through a unique multimodal approach. We optimize complex healthcare workflows that interface with patients using the latest Agentic AI approaches, and we combine it with a sophisticated platform to serve this Agentic layer at scale. We are looking for expert engineers and leads to join our team and help us push the frontier of what's possible with Agentic workflows + Healthcare.

Backed by one of the largest seed rounds in health tech history and operators who bring the expertise and distribution to scale nationally, we're building the connected infrastructure healthcare should have had all along.

Our Engineering Culture & Values

We are a high-performing group of engineers dedicated to delivering innovative, high-quality solutions to our clients and business partners. We believe in:

• Engineering Excellence: Taking immense pride in our technical craft and the products we build, treating both with utmost respect and care.

• Impact-Driven Development: Firmly committed to engineering high-quality, fault-tolerant, and highly scalable systems that evolve seamlessly with business needs, minimizing disruption.

• Collaboration Over Ego: Valuing exceptional work and groundbreaking ideas above all else. We seek talented individuals who are accustomed to working in a fast-paced environment and are driven to ship often to achieve significant impact.

• Continuous Growth: Fostering an environment of continuous learning, mentorship, and professional development, where you can deepen your expertise and grow your career.

Responsibilities

As a Senior Backend Engineer, you will design, build, and operate the platform systems that power Arbiter's connections to the outside world and ensure reliable, performant data exchange across a complex ecosystem. You will own critical parts of our backend infrastructure, from API design and service orchestration to data pipelines and third-party system connectivity, working closely with product, engineering, and customer teams to ship production-grade systems with real customer dependency.

• Platform Architecture & Backend Systems: Design, develop, and operate backend services that power Arbiter's core platform, with an emphasis on reliability, modularity, and clean system boundaries.

• External System Connectivity: Build and maintain robust connections to third-party systems (e.g. cloud APIs, AI services, data exchange services, EHRs, telephony platforms). Own the abstractions that make these integrations reusable and adaptable across customers with minimal rework.

• API Design & Data Exchange: Design and operate high-scale APIs (REST, gRPC, webhooks) and manage complex data flows including real-time streaming, batch processing, file-based exchange (e.g. SFTP, HL7, EDI), and event-driven pipelines.

• Performance & Reliability: Ensure high throughput, low latency, and fault tolerance across backend services through strong system design, monitoring, alerting, and operational best practices. Handle vendor failures, retries, idempotency, and graceful degradation.

• Data Engineering & Pipeline Ownership: Build and maintain ETL/ELT pipelines, manage schema evolution, and ensure data quality and integrity across systems with varying formats, standards, and reliability.

• Infrastructure & Deployment Excellence: Implement and uphold best practices for CI/CD, testing, observability, and deployment of backend systems in production cloud environments.

• Cross-Functional Execution: Partner closely with AI engineers, product managers, implementation teams, and customer stakeholders to translate ambiguous, high-impact problems into scalable technical solutions.

• Technical Leadership & Mentorship: Mentor engineers, contribute to internal documentation and standards, influence technical direction, and raise the overall engineering bar.

• Ownership & On-Call: Take end-to-end ownership of critical systems, including participating in on-call rotations and leading incident resolution when production issues arise.

Minimum Qualifications

• 5+ years of hands-on experience building and operating production backend systems in high-availability environments.

• Computer Science or Engineering degree, or equivalent practical experience.

• Experience building and maintaining large-scale Python codebases with strong opinions on structure, quality, and tradeoffs.

• Deep understanding of API design patterns, versioning, backward compatibility, and managing breaking changes across consumers.

• Experience building reusable abstraction layers or connector frameworks that allow a single integration pattern to serve multiple customers or vendors.

• Proven experience designing systems that connect to third-party services, including handling authentication, rate limiting, retry logic, and failure modes gracefully.

• Strong understanding of concurrency, scalability, reliability, and distributed systems patterns.

• Hands-on experience with data pipeline architectures: batch and streaming, schema management, and data quality enforcement.

• Experience with cloud infrastructure (AWS, GCP, or Azure) and production deployments.

• Strong communication skills and ability to work effectively across functions.

• Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot).

• Track record of delivering complex systems end-to-end with minimal oversight.

Preferred Qualifications

• Experience with healthcare data exchange standards (HL7, FHIR, EDI) or similarly complex domain-specific protocols in other industries (fintech, telecom, logistics) is a plus.

• Familiarity with database performance tuning, query optimization, and managing large-scale relational databases (PostgreSQL, CloudSQL).

• Startup or early-stage experience operating in fast-moving, high-ambiguity environments.

This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.

Job Benefits

We offer a comprehensive and competitive benefits package designed to support your well-being and professional growth:

• Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity.

• Generous Paid Time Off (PTO): To ensure a healthy work-life balance.

• Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family.

• Life and Disability Insurance: Providing financial security.

• Simple IRA Matching: To support your long-term financial goals.

• Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning.

• Wellness Programs: Initiatives to support your physical and mental health.

Pay Transparency

The annual base salary range for this position is $148,500-$190,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.

Customer Program Manager

Cross-Site Project Coordination | Schedule & Risk Management | High-Visibility Communication | SF Bay Area, CA

ABOUT NEXXA

Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

THE ROLE

Reporting to CPO

We're hiring a Customer Program Manager to be the operational backbone of our customer delivery engine. You'll manage project schedules, status visibility, and cross-site coordination across Applied AI and core engineering teams operating across global sites — ensuring every engagement ships on time with full visibility. You'll work alongside a Delivery Manager who owns the customer relationship and outcome quality, core-engineering remote project manager. Your job is to make sure the delivery machine runs — schedules are tracked, risks are flagged early, handoffs are clean, and every stakeholder knows exactly where things stand at any given moment.

WHAT YOU'LL DO

• Manage end-to-end project schedules for customer engagements across Applied AI (FDE team) and core engineering teams spanning multiple geographies and time zones

• Maintain real-time project status visibility — Confluence boards, Jira tracking, weekly status reports — so leadership, engineering, and the Delivery Manager always have a single source of truth

• Run internal project review cadences: bi-weekly planning reviews, customer submissions reviews, and dev question sessions across all active engagements

• Proactively identify risks, dependencies, and blockers before they become surprises — escalate to the Delivery Manager with proposed mitigations, not after deadlines slip

• Own cross-site coordination across multiple sites — bridging time zones, aligning handoffs, and ensuring nothing falls between teams

• Drive daily and weekly status updates across all active projects — post EOD updates in team channels with key changes, blockers, and next actions tagged to DRIs

• Prepare and deliver weekly internal status reports to the CPO every Friday — consolidating project health, risk register, and upcoming milestones across all accounts

• Track and maintain delivery governance artifacts: project plans, feedback/release trackers, QA checklists, go-live readiness assessments

• Coordinate resource allocation and capacity planning across FDEs and engineering — flag overload risks and propose reallocation before quality suffers

• Ensure Jira hygiene: correct assignees, updated due dates, closed tickets, and clean backlogs — so automated reporting and AI tools produce accurate outputs

• Support the Delivery Manager in preparing customer-facing materials: milestone review decks, progress summaries, and QBR data

HOW THIS ROLE WORKS WITH THE DELIVERY MANAGER

The CPM and Delivery Manager share the delivery mission but own different dimensions:

• You own: project schedules, daily/weekly status tracking, Jira hygiene, cross-site coordination, Confluence boards, internal reporting, resource capacity flagging, and governance artifact maintenance

• Delivery Manager owns: customer relationship, outcome definition, delivery quality sign-off, CSAT/NPS, escalation resolution, post-delivery retrospectives, and account expansion insights

• Together: the DM ensures we deliver the right thing at the right quality; you ensure we deliver it on schedule with full visibility and zero surprises

WHAT WE'RE LOOKING FOR

• 5+ years in technical program management, project management, or delivery management — with at least 2 years managing cross-functional, cross-site engineering teams

• Proven experience managing 3–5 concurrent external facing projects simultaneously without dropping balls — you have a system, not just hustle

• Strong command of project management tooling: Jira, Confluence, Rocketlane (or similar), and spreadsheet-based reporting. You're the person who keeps these tools clean and current.

• Experience coordinating across time zones and distributed teams — you've worked with India/APAC engineering teams and know how to structure async handoffs

• Excellent written communication — your status updates are crisp, your escalations are clear, and your meeting notes are actionable. You don't write paragraphs; you write bullet points with owners and dates.

• Technical fluency — you can read architecture docs, understand data pipeline concepts, and have productive conversations with engineers about scope, effort, and trade-offs. You don't need to code, but you need to understand the work.

• Anticipatory mindset — you see risks coming before they materialize. You flag a Milestone 1 delivery risk on Monday, not on Thursday when it's due.

• Experience in enterprise SaaS, consulting delivery, or systems integration. Heavy industry experience (manufacturing, supply chain, energy) is a strong plus.

KEY SUCCESS INDICATORS

• 100% of active projects have up-to-date Confluence boards with milestones, DRIs, and dates — refreshed daily, not weekly

• Zero surprise delays — risks are flagged at least 1 week before they impact a deadline, with proposed mitigations

• Weekly status reports delivered to Shashank (CPO) every Friday for Monday leadership calls — no exceptions, no late submissions

• Customer communication cadence running on schedule: weekly updates sent, bi-weekly check-ins held, milestone reviews documented

• Cross-site engineering alignment verified at every handoff — India team has clear specs, context, and deadlines before they start work

• Jira data quality at 100% — accurate assignees, no stale tickets, closed items marked done. Automated reports pull clean data.

• Resource conflicts identified and escalated before they impact delivery — capacity planning is proactive, not reactive

NICE TO HAVE

• Experience with Rocketlane, Asana, or Monday.com for customer-facing delivery management

• Prior experience at a fast-growing startup (seed to Series B) where you built the PM process from scratch

• Experience working with AI/ML engineering teams — understanding model training timelines, data pipeline dependencies, and iterative delivery cycles

• Familiarity with enterprise procurement and vendor management processes (purchasing control towers, SOW reviews, NDA workflows)

WHY NEXXA

• Architect the intelligence layer for the world's largest industrial companies — your designs will run with top Fortune 100 companies

• Work directly with the CPO and CTO on every engagement — ZERO layers of bureaucracy

• Backed by silicon valley top VCs, with access to their portfolio network and enterprise resources

• Early-stage equity with significant upside

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.  

HHAeXchange is seeking a Product Manager, Data Management & Platform to help define, govern, and scale how data is used across our healthcare platform. This role sits at the intersection of Product, Engineering, and Clinical/Financial operations, ensuring that the data powering RCM, EHR, Payroll, Payments, and the Universal Patient Record is accurate, connected, and trusted — and that it serves as a reliable foundation for AI-driven innovation.

This is an individual contributor role for a healthcare product professional who understands real-world clinical and financial workflows, is energized by the potential of AI to transform healthcare data, and can translate complex requirements into clear, actionable product decisions. The ideal candidate brings 5–7 years of product management experience in healthcare IT, a solid grasp of data platform concepts, and a genuine enthusiasm for applying AI and machine learning to solve meaningful problems in the home care space.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.

Product-Led Data Strategy

• Contribute to and help execute the product vision and roadmap for HHAeXchange's enterprise data platform.

• Define how core clinical, operational, and financial data is modeled, linked, and surfaced across the product ecosystem.

• Partner with domain PMs (RCM, EHR, Payroll, Payments) to align data structures to real-world workflows and end-user needs.

• Identify opportunities to reduce data fragmentation and improve consistency across product domains.

AI Enablement & Innovation

• Serve as a product champion for AI and machine learning use cases built on the HHAeXchange data platform.

• Define and prioritize data requirements that enable AI-driven features including predictive analytics, anomaly detection, automation, and intelligent recommendations.

• Work with data science and engineering teams to ensure training data quality, feature pipelines, and model outputs are properly governed and trustworthy.

• Evaluate and recommend AI tools, platforms, and frameworks that can accelerate product delivery and enhance the platform's intelligence capabilities.

• Stay current on emerging AI/ML trends in healthcare — including generative AI, LLM applications, and agentic workflows — and translate relevant developments into product opportunities.

• Champion responsible AI practices, including fairness, explainability, and compliance considerations relevant to healthcare data.

Healthcare Data Enablement

• Ensure data models support claims, visits, authorizations, care plans, payroll, and payer rules.

• Translate regulatory, audit, and reimbursement requirements into data standards and traceability.

• Improve data lineage and reconciliation across payer-provider workflows.

• Support the development of a Universal Patient Record that is complete, current, and usable across the platform.

Cross-Team Execution

• Collaborate closely with Engineering, Architecture, and Platform teams to shape data services, APIs, and pipelines.

• Write clear product requirements, user stories, and acceptance criteria for data platform features.

• Prioritize data initiatives based on customer impact, revenue risk, compliance needs, and scalability.

• Drive alignment across product teams on shared data definitions, metrics, and reporting standards.

Governance & Data Quality

• Support the definition of data ownership, stewardship, and quality standards across product domains.

• Help establish validation, monitoring, and escalation processes for data defects.

• Create visibility into data health for product leaders, operations teams, and stakeholders.
• Contribute to documentation of data standards and governance policies.

• Travel 10-25%, including overnight travel

The base salary range for this US-based, full-time, and exempt position is $105,000-115/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

Sobre Coderio

Coderio diseña y entrega soluciones digitales escalables para empresas globales. Con una base técnica sólida y una mentalidad orientada al producto, nuestros equipos lideran proyectos complejos desde la arquitectura hasta la ejecución. Valoramos la autonomía, la comunicación clara y la excelencia técnica, colaborando estrechamente con equipos y socios internacionales para construir tecnología que genera impacto.

🌍 Más información: http://coderio.com

Buscamos un/a backend engineer con criterio técnico propio, capaz de diseñar microservicios event-driven que soporten millones de requests sin parpadear. Responsable de la capa de servicios y pipelines de datos, disponibilizando telemetría crítica para analítica. Debes ser capaz de interactuar con criterio técnico frente a equipos de Data Engineering y diseñar soluciones escalables bajo presión.

Lo que puedes esperar de este rol (Responsabilidades)

Es un rol de ownership técnico total: diseñas, decides, construyes, operas y te haces responsable de dominios críticos de la plataforma.

Requisitos

+5 años en desarrollo Backend (Seniority basado en autonomía y proactividad).

+3 años de experiencia sólida con Node.js y TypeScript.

+3 años operando en entornos AWS Serverless (Lambda, API Gateway, SQS, SNS).

+2 años de experiencia en Data Engineering básica y modelado de bases de datos relacionales (PostgreSQL).

Deseable

+1 año de experiencia con TimescaleDB o bases de datos Time-series.

Experiencia previa en proyectos de IoT o telemetría industrial.

Conocimiento de infraestructura como código (Terraform/CDK).

Soft Skills

Ownership Extremo: Capacidad de tomar un dominio y llevar la resolución de punta a punta.

Comunicación de Criterio: Capacidad para desafiar y colaborar con stakeholders técnicos (Data Teams).

Proactividad: No espera instrucciones; identifica cuellos de botella y propone soluciones.

Beneficios

Modalidad remota

Participación en un proyecto estratégico regional de alto impacto.

Colaboración con un equipo internacional y liderazgo técnico sólido.

Oportunidad de crecimiento profesional dentro de proyectos de transformación digital.

¿Por qué unirte a Coderio?

Somos remote-first, apasionados por la tecnología, el trabajo colaborativo y la compensación justa. Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento. Si te motiva construir soluciones con impacto en proyectos globales de finanzas y RRHH. Te estamos esperando. Postula ahora.

The Opportunity

Hinge Health is hiring an Engineering Manager for our Growth Data Platform (GDP) pod in Bangalore. This is a pivot-point role for a leader who is ready to move beyond traditional software management and lead a team into the era of AI-Native Engineering and ML-Driven Growth. The GDP pod is the engine room of Hinge Health's growth strategy. You own the data pipelines, event streams, and the emerging "Intelligence Layer" that powers every member interaction—from the first ad they see to the "Daily Streak" notification that keeps them pain-free. In 2026, your mission is to transform GDP from a data mover to a decision engine. You will partner with Data Science to operationalize high-value ML models (like our Direct Mail Propensity Model and Contextual Bandits) that autonomously decide the channel, content, and timing of our marketing. Simultaneously, you will pioneer our "Harness Engineering" initiative, transforming your pod's workflow from manual coding to managing autonomous AI agents that build, test, and verify our data infrastructure. You will lead a high-performing team in Bangalore, serving as the strategic bridge between SF Product Strategy and technical execution

What You’ll Accomplish

• Build the "Intelligence Layer": Move beyond simple data piping. Architect the real-time decisioning layer that ingests ML signals (e.g., Churn Risk, Propensity to Convert) and routes them instantly to execution platforms like Iterable.

• Operationalize Growth ML Models: Partner with Data Science to take predictive models out of the lab and into production. You will own "Phase 3" of the model lifecycle: hardening, serving, and monitoring models that control millions of dollars in marketing spend.

• Lead the Transition to Harness Engineering: Drive the adoption of AI-native workflows (using tools like Cursor and Claude Code). Shift the team’s focus from "typing code" to building the test harnesses, specs, and safety rails that allow agents to autonomously maintain our pipelines.

• Guarantee Data Trust ("Glass Box" Observability): Champion a culture of radical observability. Implement automated "data sentinels" and contract tests that catch schema violations and freshness issues before they impact our marketing campaigns.

Basic Qualifications

• 2+ years of experience managing engineering teams. You are a "player-coach" who can build a "One Team" culture, bridging the gap between SF and Bangalore with high-agency leadership.

• 3+ years of experience with data engineering technologies including experience with distributed data processing frameworks (e.g., PySpark, Databricks) and SQL.

• Experience with production data pipelines and understanding of data lifecycle management, including pipeline orchestration, monitoring, and operational excellence practices.

Preferred Qualifications

• ML Ops & Model Serving Experience: You understand the lifecycle of data and models. You have experience with Kafka and event-driven architectures, and you know what it takes to serve an ML model in production (latency, feature stores, drift monitoring).

• AI-Forward Leadership: You are excited, not intimidated, by the shift to AI-assisted engineering. You are eager to experiment with new workflows where engineers act as architects and auditors of AI-generated code.

• Architectural Rigor: You can simplify complex systems. You have a track record of converging "sprawling" pipeline patterns into robust standards (e.g., moving ad-hoc scripts into a unified Event-Driven Architecture).

• Operational Excellence: You value SLOs, runbooks, and incident management. You believe that "production reliability" is a feature, especially when dealing with data that drives real-time member health decisions.

• Experience with Marketing Tech (Iterable, Braze) or Customer Data Platforms (Segment, Hightouch).

• Experience implementing Contextual Bandits or similar experimentation frameworks.

• Background in Healthcare/HIPAA compliant environments.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA. Time zones: San Francisco is the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time – for example, 8am in San Francisco is 8:30pm in Bengaluru. Standard working hours in San Francisco are between 8am - 6pm. For this role, applicants should be open to meetings in the late evening following India Standard Time.

What You'll Love About Us

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).

• We also offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.

• Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.

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Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.

About Radformation

Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care.

Our software focuses on three key areas:

• Time savings through automation.
• Error reduction through automated systems.
• Increased quality care through advanced algorithms and workflows.

We are a fully remote, mission-driven team united by a shared goal: to reduce cancer’s global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live.

Why This Role Matters

In this role you will help advance Radformation’s AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.

You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.

Responsibilities Include:

• Design, build, and maintain robust ETL pipelines to support AI model development and deployment.
• Develop, train, and optimize machine learning models used in radiotherapy software.
• Collaborate with product and research teams to bring new AI-driven features and algorithms into production.
• Support FDA submissions by contributing to documentation, validation, and regulatory processes.
• Participate in design reviews, risk analyses, and cross-functional discussions to ensure safe and effective products.
• Mentor junior engineers and data scientists and contribute to a collaborative team environment.

Required Experience:

• MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.
• Expert-level proficiency in Python.
• Hands-on experience building, training, and tuning machine learning models.
• Strong experience with PyTorch and/or TensorFlow.
• Experience developing convolutional neural networks, including U-Net architectures.
• Experience using Git and modern code repositories (GitHub, Bitbucket, Azure DevOps, etc.).

Preferred Experience:

• Experience with medical imaging and image processing techniques (segmentation, resampling, smoothing).
• Familiarity with clinical data standards such as DICOM or HL7.
• Experience working in regulated environments (HIPAA, FDA, or medical device software).
• Experience with modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).

AI & Hiring Integrity

At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.

Benefits & Perks — What Makes Us RAD

We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $160,000 - $200,000 USD base, plus bonus eligibility.

For US teammates (via TriNet):

Health & Wellness

• Multiple high-quality medical plan options with substantial employer contributions toward premiums, often covering the full cost depending on the plan selected.
• Health coverage starting on day one
• Short-term and long-term disability and supplementary life insurance

Financial & Professional Growth

• 401(k) with employer match vested immediately
• Annual reimbursement for professional memberships
• Conference attendance and continued learning opportunities

Work-Life Balance & Perks

• Self-managed PTO and 10 paid holidays
• Monthly internet stipend
• Company-issued laptop and one-time home office setup stipend
• Fully remote work environment with virtual events and yearly retreats, because we like to have fun while doing work that matters

For global teammates (via Deel):
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.

Our Commitment to Diversity

Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.

Agency & Candidate Safety Notice

Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact careers@radformation.com.

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

About This Role:

As the Engineering Manager for our Data Platform, you will be the primary architect of the ecosystem that powers TrueML’s intelligence. We are currently in a phase of purposeful scaling, and we need your leadership to build a rock-solid, high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. Your goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion.

• Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence.
• Architect Resilient Infrastructure: Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion.
• Champion Data Trust: Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes.
• Collaborate Strategically: Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models.
• Maintain Technical Excellence: Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance.
• Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when the mission requires it.
• Drive Data Accessibility: Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.

The Company You’ll Join

At Rebuy, we’re on a mission to revolutionize shopping with intelligent, personalized experiences that wow customers around the globe. As a fully remote team, we power some of the fastest-growing DTC brands like Aviator Nation, Liquid Death, Magic Spoon, Blenders, Laird Superfoods, Primal Kitchen, and many more.

We believe in ownership, drive, and empathy, and strongly uphold that every team member plays a vital role in shaping the future of intelligent commerce. Our culture thrives on collaboration, creativity, and genuine passion. We don’t just build great tech - we build lasting partnerships, a strong community, and a place where people love to work.

The Problems You’ll Solve

Rebuy and its team members continually strive to create a high-spirited, intentional work environment that stresses performance, productivity, collaboration, and merit.

As a Sr. Software Engineer, Back-End, you’ll own some of the most consequential systems at Rebuy. Your primary anchor is our billing and payments infrastructure — the engine that determines how merchants are charged, how partners get paid, and how financial balances flow across our entire product suite. This is genuinely complex financial engineering. It requires deep PHP and Go expertise, careful architecture, and judgment that no automated tool can replicate. Merchant billing runs daily, touches real revenue, and demands someone who understands both the technical and business dimensions of every decision.

Alongside billing, you’ll grow into a broader platform portfolio — the partner portal, data ETL pipelines, customer-facing APIs, and reporting infrastructure that power the business. And in the near term, you’ll play a critical role in a significant technical migration: moving our legacy Code Igniter 2 codebase to Code Igniter 4, including work tied to increasing our enterprise market share. This migration requires hands-on PHP expertise and cannot be deferred.

You won’t be handed a sprawling list of things you must do on day one. You’ll be trusted to grow into this role — and rewarded when you do.

• Billing & Payments Architecture: Design and build Rebuy’s centralized billing system that handles merchant billing, partner payments, and customer-facing charges. Architect the integration layer that allows payment balances to be applied across Rebuy’s full suite of services. Tackle genuinely complex financial engineering challenges with PHP and Go at scale.

• Build Robust APIs: Design and implement secure, well-structured APIs in PHP and Go to power billing events, payment processing, and financial data flows across our platform and Shopify integrations.

• Legacy Modernization: Lead and contribute to the migration of our Code Igniter 2 codebase to Code Igniter 4. This is high-priority, near-term work with real business dependencies — including enterprise partnership commitments — and requires a PHP engineer with the experience and judgment to do it right.

• Agentify the Platform: Partner with product and engineering to identify where AI agents can automate workflows, surface insights, and guide merchants through our product. Build the backend systems — APIs, data pipelines, and event hooks — that enable intelligent automation. This is genuinely new territory and one of the most exciting growth vectors for Rebuy’s product.

• Platform Breadth: Our team owns more than billing and payments — we also support a partner portal, data ETL pipelines, customer-facing reporting APIs, and the infrastructure that makes data flow reliably across the business. You won’t be responsible for all of it on day one, but you’ll have genuine opportunities to grow into the areas that most interest you. Engineers here don’t get siloed; they get context.

• Engineering Best Practices: Contribute significantly to the engineering culture at Rebuy by establishing, documenting, and promoting best practices. Lead initiatives to introduce and standardize frameworks and tools that increase development efficiency and maintainability.

• Security & Compliance: Stay current with the latest security trends, vulnerabilities, and best practices as they apply to billing and payment systems. Champion security-first engineering across authentication, authorization, data encryption, and compliance considerations in everything you build.

• PHP Technical Leadership: Serve as a key technical anchor for PHP across the engineering organization. Rebuy’s codebase has significant PHP depth and relatively few engineers with that expertise. You’ll lead code reviews, share knowledge actively, and help raise the PHP competency of the broader team.

• Quality Assurance: Conduct quality checks on deliverables to ensure code, setup, and configurations meet expected results. Ensure that all features meet high standards of quality and performance before deployment.

• Team Collaboration: Engage actively in building a strong team culture. Work closely with the Product Owner, Engineering Manager, and peers across billing, payments, partner tools, and data infrastructure to define requirements, estimate effort, and drive solutions forward. This is a team where your voice matters — you won’t just be handed tickets. Assist the Support team in triaging and resolving high-priority production issues.

Technologies We Use:

• AI: Anthropic Enterprise Claude Code / Co-work, Cursor, Adhoc AI tools budget.

• Frontend Technologies: React, TypeScript, GraphQL, VueJS, Angular

• Backend technologies: PHP, GO, MySQL, BigTable, Elasticsearch

• Other Tools: Jira, Bitbucket, Confluence, Google Suite, Slack, One Password, Notion

Who You Are

We’re stoked to meet you and get to learn more about you, your experience and your interest in joining our team.

The Hard Skills:

• Experience building or maintaining billing, payments, or financial systems — including working with payment processors, subscription engines, invoicing pipelines, or similar financial infrastructure in a production SaaS environment.

• Educational background in CS // Engineering or a similar area.

• 5+ years of hands-on experience building backend applications with PHP and Go, with a proven track record of delivering complex, high-traffic systems.

• Experience designing and implementing secure, scalable, and maintainable RESTful APIs in PHP and Go, with a deep understanding of API design patterns, versioning, and performance optimization.

• Experience with cloud-based technologies, preferably GCP.

• Strong understanding of a performant SaaS environment.

• Experience in a Scrum/Agile environment.

• Experience with the Atlassian suite, including Jira and Bitbucket.

• Solid understanding of security fundamentals as they apply to backend and financial systems — including secure coding practices, authentication/authorization patterns, data encryption, and awareness of current vulnerability trends (e.g. OWASP Top 10)

The Soft Skills:

• A collaborative mindset and work approach with the ability to lead projects and mentor others.

• The ability to thrive in a fast-paced environment with a high level of autonomy and responsibilities.

• Excellent communication skills, especially being able to explain technical concepts to both technical and non-technical audiences.

• Genuinely curious about the intersection of engineering and business. You care about the downstream impact of what you build — not just that the code works, but that it moves the company forward.

Who You’ll Meet With

Now let’s get into who you’ll meet during our interview process! After you submit your application and it’s been reviewed by our team, we will reach out to you inviting you to meet with us. From there, you can expect an interview process similar to this:

• An introductory call with someone from the Talent Acquisition team for about 30 min.

• Interview with the Hiring Manager to learn more about you and answer your questions about Rebuy and this role

• A coding challenge and white boarding exercise to show us your skillset during a live panel interview with a few team members.

• Short final interview with our CEO and COO where you’ll get to learn more about Rebuy.

The Perks You’ll Enjoy

Rebuy is a fully remote company across the U.S. and Canada that aims to provide all of our team with the resources, support and flexibility they need to thrive in their roles.

• Team: We’ve got the best, brightest, most brilliant team members who are excited to meet you! We also like to think we have a good sense of humor.

• Remote Work: With a strong internet connection, you’re able to work from anywhere within the U.S. and Canada.

• PTO: We offer a flexible vacation policy, generous holiday schedule, parental leave and sick policy. There’s other policies too like a birthday holiday!

• Amazing Benefits: 100% free health, dental, and insurance for you and your family. Don’t worry, there’s even more!

• Retirement Plans: For our U.S. employees we offer 401(k) retirement plans and for our Canadian employees we offer a TFSA and RRSP retirement plans. You’ll also enjoy a 3% contribution of your gross salary, no matter where you’re located!

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $130,000 - $180,000 USD annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter and hiring manager can share more about the specific salary range for the job location during the hiring process.

Disclosures:

Equal Opportunity Statement

Rebuy, Inc. is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Rebuy, Inc. aims to make rebuyengine.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email hr@rebuyengine.com.

Who we are

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?

Why would you love this job?

As a Technical Support Engineer, you will be responsible for helping customers by diagnosing and resolving complex technical issues in a high-contribution role with exciting technical challenges, ongoing learning, and the excitement of helping name-brand customers as part of our fun, tight-knit team.

In this role, you will use and extend your existing technical depth and increase your technical breadth by addressing complex problems for the top companies in the world. You will level up to be an expert complex problem solver on Redis Enterprise Software, being used as a high-performance database by thousands of worldwide customers. You will dive deep into different exciting forefront technologies by supporting Redis Enterprise running on the top Cloud Platforms and in the top container orchestration platforms.

Join the best of the best and continuously learn new things. We are looking for brilliant experts who are curious, persistent, and happy digging through the full stack, from code to Sysadmin to networking to performance. If this sounds like you, please check out the technical foundation we’d like you to bring.

What you’ll do:

• Work with customers to troubleshoot and resolve complex software issues:

  • Reproduce issues, replicating customer environments as needed.

  • Document issues and contribute to our internal team documentation.

  • Provide Root Cause Analysis

• Collaborate with Engineering as needed to provide solutions.

• Analyze performance questions that may arise along the data path (including networks) for deployments that may be in the Cloud or On-premises.

• Provide technical expertise during testing, deployment, and upgrading of Redis software.

• Manage critical customer issues, facilitating communication between customers, CloudOps, Engineering, Product, TAMs, and Sales.

• Serve as the customer advocate for timely resolution of issues and handling escalations while helping customers realize and maximize the value of their Redis subscription.

• Participate in new product development, customer training, and other support-related activities.

This role requires a 5-day work week that includes Saturday and Sunday.

What will you need to have?

• At least five years of technical experience as a Support Engineer, Systems Engineer, Software Engineer, or Site Reliability Engineer in an enterprise software company

• At least four years of experience troubleshooting real-time production systems

• At least two years of hands-on experience with cloud infrastructure.

• Strong background in scripting or programming languages (Python, Java, C#, JavaScript, Bash, Powershell, etc.)

• Expert working knowledge in Linux/Unix and networking (TCP/IP)

• Professional experience working with networking tools like wireshark, tcpdump, etc.

• Experience in analyzing and debugging production issues at scale.

• Experience with alerting and monitoring systems (Prometheus, Grafana, ELK, Splunk, etc.).

• Working knowledge of Cloud-based and On-premises environments

• Proficiency in communication and presentation, both written and verbal (in English)

• Strong technical background with excellent problem-solving and multi-tasking skills

• High availability and commitment to customers at any time

Extra great if you have:

• Bachelor of Science in Computer Science or Information Systems

• Experience with NoSQL databases (especially Redis)

• Experience working with container orchestration environments, such as Kubernetes

The estimated gross base annual salary range for this role is $91,455 – $137,273 per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available.

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Who We Are

Wingspan is the first payroll platform designed specifically for independent contractors and their businesses. We simplify onboarding, payments, and compliance for flexible workforces of all sizes, from solo operators to large enterprises. 

We're a Series B startup based in NYC with distributed teams in the USA, Poland, and the UK, and backed by Andreessen Horowitz (a16z), Touring Capital, and a strong network of operators, including the CEOs and founders of Warby Parker, Harry's, Allbirds, Invision, and Flatiron Health.

About the Role

As a Software Engineer on the Payment Operations team, you will be responsible for the execution layer that ensures every dollar on Wingspan's platform is accounted for, reconciled, and moved accurately on time. You will have direct access to production systems, a mandate to identify what's broken or inefficient, and the authority to engineer the fix. 

This role reports to the Head of Payments & Compliance Operations and is based in Warsaw, Poland, with a remote work model.

What You'll Do

• Design, develop, and ship internal systems and automation that eliminate entire categories of operational toil, owning every problem end-to-end from initial diagnosis to permanent fix
• Build and maintain reconciliation infrastructure that keeps Wingspan's ledger, bank records, and platform transaction data in continuous alignment, automatically and at scale
• Develop monitoring and alerting systems that surface funding health issues and payment anomalies in real time, ensuring problems are caught and resolved before they ever reach a customer
• Collaborate with Engineering, Product, and Finance to identify recurring operational patterns and translate them into platform-level improvements that raise the reliability ceiling for the entire system
• Contribute to the growth of our engineering culture by sharing knowledge, participating in code reviews, and proactively identifying opportunities to improve how the team builds, observes, and automates

Qualifications & Requirements

• 3+ years of experience in a software engineering or engineering-adjacent role with exposure to payment systems, backend services, or data pipelines
• Strong SQL skills, comfortable writing standalone scripts and using AI tools such as Claude Code, Open AI, etc 
• Familiarity with RESTful APIs and backend services, with Node.js an
  
  Please mention the word **FREE** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

About Equip 

Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health.

Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture.  Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.

About the role:

Equip's engineering culture emphasizes agility, collaboration, and ownership, fostering a team of problem-solvers who build a robust, scalable healthcare platform. As a Senior DevOps Engineer, you'll be crucial in developing and maintaining infrastructure, platforms, and developer tools, including CI/CD pipelines, cloud infrastructure, and observability tools, to enable efficient development and scaling. You'll also support web (Java, React, PostgreSQL) and mobile (React Native) applications, standardizing AWS deployments and CI/CD practices. The role will involve building security, metrics, logging, and deployment tooling to ensure system reliability and scalability. Our goal is to create intuitive, reliable systems that allow engineers to iterate quickly and deliver value to patients, with direct user feedback driving our highest-impact work.

Responsibilities:

• Design and build a robust, scalable cloud platform to empower web and data engineering teams to deliver high-quality applications.

• Partner with engineering and data teams to improve developer velocity, ensure system reliability, and embed operational excellence.

• Lead best practices in cloud infrastructure architecture, CI/CD automation, monitoring, and backend systems reliability.

• Develop tools and automation of a variety of frameworks and languages to enhance the performance, availability, and scalability of services.

• Contribute to a culture of continuous improvement through proactive monitoring, root cause analysis, and knowledge sharing.

• Perform other duties as assigned.

Qualifications:

• Bachelor's degree or equivalent training and work experience in Computer Science, Software Engineering, or a related field

• 5–10 years of experience in DevOps, SRE, Platform Engineering, or Software Engineering roles.

• Deep expertise in AWS and its ecosystem of services.

• Proven track record building cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation)

• Strong experience with container orchestration and serverless architectures, including ECS/Fargate and Docker

• Solid understanding of AWS networking concepts, including VPCs, subnets, security groups, route tables, and load balancers.

• Hands-on experience creating and maintaining CI/CD pipelines (e.g., CircleCI, GitLab CI, etc.).

• Strong experience with scalable backend systems, including microservices, APIs, caching layers, and various databases.

• Experience deploying and managing React and other JavaScript applications using AWS services like CloudFront and S3.

• Experience setting up comprehensive monitoring and alerting for infrastructure, services, and data pipelines.

• Skilled at identifying, diagnosing, and preventing production issues through effective observability and troubleshooting (NewRelic, DataDog)

• Commitment to building secure systems with best practices in access control, encryption, and secure deployment pipelines.

• Experience communicating and collaborating with engineering and product team stakeholders.

• Proven ability to manage multiple projects with competing priorities.

• Be able to work Eastern or Central time zones. Either 9 - 5 Eastern or 8 - 4 Central.

Benefits

Time Off:

• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.

Medical Benefits:

• Competitive Medical, Dental, Vision, Life, and AD&D insurance.

• Equip pays for a significant percentage of benefits premiums for individuals and families.

• Maven, a company paid reproductive and family care benefit for all employees.

• Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!

Other Benefits

Work From Home Additional Perks:

• $50/month stipend added directly to an employee’s paycheck to cover home internet expenses.

• One-time work from home stipend of up to $500.

Physical Demands

Work is performed 100% from home with requirement to travel once or twice a year for in-person meetings. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed.

#LI-Remote

At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of  members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip.

As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law. 

Our dedication to equitable access, which is core to our mission, extends to how we build our "village." In line with our commitment to Diversity, Equity, Inclusion, and Belonging (DEIB), we are dedicated to an accessible hiring process where all candidates feel a true sense of belonging. If you require a reasonable accommodation to complete your application, interview, or perform the essential functions of a role, we invite you to reach out to our People team at accommodations@equip.health.

#LI-Remote

Join Hostinger, and we’ll grow fast! 🚀

We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 4 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before.

Our mission: To provide tools that help individuals and small businesses succeed online faster and easier.

Our culture: Guided by 10 company principles.

Our formula for success: Customer obsession, innovative products, and talented teams.

Your role at Hostinger

Join Hostinger’s Delivery Automation team as a Senior Full Stack Automation Engineer, where you’ll focus on building scalable internal platforms and tools that supercharge developer productivity, streamline software delivery, and automate complex manual flows across the company.

In this role, you’ll take ownership of designing and automating workflows that reduce friction for engineers and teams across Hostinger. From CI/CD pipelines and deployment automation to system integrations and cross-team process improvements - your work will enable faster delivery, greater efficiency, and a stronger automation-first culture.

Your impact will span Product, Engineering, and beyond: empowering developers with reliable self-service solutions, helping teams eliminate repetitive tasks, and ensuring Hostinger operates at scale with speed and confidence.

You’ll collaborate closely with stakeholders across engineering and other departments to understand their challenges, architect resilient solutions, and ship intuitive tools backed by robust backend systems. You’ll also explore and adopt emerging technologies - including AI - to continuously elevate developer experience and automation capabilities.

Curious to learn more? Connect with your team:

Mantas Gurskis - Automation Team Lead, Asta Dagienė - Head of Delivery

• Analyze stakeholders workflows, identify automation opportunities, design, build, and maintain full-stack automation tools that connect and enhance internal marketing, sales, and business systems.
• Develop user-friendly internal UIs and dashboards for campaign setup, monitoring, and reporting.
• Work closely with cross-functional teams to understand workflows and identify automation opportunities.
• Leverage AI where applicable to optimize decision-making and workflow efficiency.
• Ensure reliability, scalability, and maintainability of automation systems and infrastructure.

• 3+ years of experience as a Full Stack Developer (Node.js, TypeScript preferred) with backend-heavy contributions.
• Strong understanding of API design, data pipelines, databases, and frontend development (Vue or similar).
• Business automation platforms (e.g., Zapier, n8n) is a plus.
• Comfortable working closely with non-engineering teams to build usable, effective tools.
• Bonus: experience integrating AI/ML tools into automation workflows.
• You’re proactive, thrive in ambiguity, and enjoy solving problems that unlock leverage for others.

• 🚀 360 Growth: We provide limitless learning opportunities: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture, and mentoring through TesoXchange. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success.
• 🎯 Freedom & responsibility: Work on your terms: from modern offices in Kaunas and Vilnius, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment.
• 💪Wellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness.
• 🎉 Work hard - play hard: Recognize hard work with company events like Summerfest & Winterfest, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations.

• Gross salary 5600 - 7600 EUR.

Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey 🚀

Three. Two. Onboard

We are a Web3-driven company building decentralized products and working with blockchain data to create transparent and data-informed solutions. We are looking for a Junior Data Analyst who is curious about blockchain, crypto, and decentralized ecosystems

Responsibilities

• Collect, clean, and analyze on-chain and off-chain data
• Work with blockchain datasets (transactions, wallets, smart contracts)
• Build dashboards to track key metrics (users, transactions, TVL, etc.)
• Identify trends in user behavior and protocol performance
• Support product, marketing, and token strategy teams with insights

• Write SQL queries and work with data pipelines
• 
  
• Requirements
• 
  

• Education : Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field

  
  

  Technical Skills:

  
  

• Basic knowledge of SQL
• Proficiency in Excel / Google Sheets
• Basic Python (pandas, numpy)
• Understanding of data analysis and statistics

• Familiarity with BI tools (Tableau, Power BI, or similar)
  

• Web3 / Crypto (Preferred):

• Basic understanding of blockchain concepts (wallets, transactions, smart contracts)
• Interest in DeFi, NFTs, or crypto markets
• Experience with blockchain analytics tools (e.g., Dune, Nansen, Glassnode) is a plus

Healthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient–doctor interactions, we’re entering an era where data is abundant.

Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.

If you're passionate about how technology can supercharge healthcare, you’ll fit right in.

Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we’re working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We’re already connecting millions and scaling fast.

Short on time? TL;DR

• You: Can define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.

• Ownership: You’ll own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.

• Scope: This is not a pure IC modeling role and not a reporting role. You’ll set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.

• Salary: $180,000 – $220,000 + equity

• Location: Fully remote (EST timezone only)

Why we need you

Junction sits in the flow of high-value diagnostics and clinical data. As the company grows, our advantage moves beyond just having data to having the ability to turn it into reliable intelligence improving product decisions, customer outcomes, and the performance of the business.

Some of that work exists today, but it is not yet owned as a coherent function. Models get built. Analyses get done. Experiments answer local questions. But we need someone who can define the broader scientific and analytical system: what we should measure, what methods we trust, where modeling creates real leverage, and how that work translates into products and decisions that hold up outside a demo.

We’re hiring our first Data Scientist to take ownership of, and establish that standard.

This role will lead Junction’s most important modeling, experimentation, and evaluation work. You’ll partner closely with data, product engineering and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data.

What you’ll be doing day to day

• Own the research and modeling work underlying Junction’s highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features

• Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend

• Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy

• Build the analytical foundation behind customer-facing features — from model development through to validation and performance tracking

• Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows

• Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review

• Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

Requirements

• Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions

• Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation

• Strong Python and/or R skills, with experience working on large, messy real-world datasets

• Experience building predictive or decision-support models in production or near-production environments

• Experience partnering closely with engineering to move work from analysis or prototype into deployed systems

• Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed

• Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers

• Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

Nice to have

• Experience designing, executing, and publishing research studies

• Experience with HIPAA, PHI, or other regulatory clinical frameworks

• Deep familiarity with modern data tooling and production workflows across warehouses, orchestration, and transformation layers

• Experience developing, deploying, and designing evaluation frameworks for LLM or AI-powered features in customer-facing products

• Expertise directly working with healthcare, diagnostics, lab data, wearable data, and other clinical data

• Experience applying causal inference methods, such as diff-in-diff, propensity scoring, or instrumental variables in practice

What this role isn’t

• Not an analytics role focused on dashboards, reporting, or one-off analysis

• Not an ML platform role — you won’t own infrastructure or tooling

• Not a good fit if you mainly want to experiment with models or AI ideas without being accountable for how they perform in production

• Not a good fit if you struggle with ambiguity. Knowing what to work on is part of the job

How you'll be compensated

• Salary: $180,000 – $220,000 + equity

• Your salary is dependent on your location and experience level

• Generous early stage options (extended exercise post 2 years employment)

• Regular in-person offsites, last were in Tenerife and Miami

• Monthly learning budget of $300 for personal development and productivity

• Flexible, remote-first working - including $1K for home office equipment

• Monthly budget of $150 to use towards a coworking space

• 25 days off a year + national holidays

• Healthcare coverage depending on location

Oh and before we forget:

• Backend Stack: Python (FastAPI), Go, PostgreSQL, Google Cloud Platform (Cloud Run, GKE, Cloud BigTable, etc), Temporal Cloud

• Frontend Stack: TypeScript, Next.js

• API docs are here: https://docs.junction.com/

• Company handbook is here with engineering values + principles

Important details before applying:

• We only hire folks physically based in GMT and EST timezones - more information here

• We do not sponsor visas right now given our stage

About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role
This is a long-term, strategic role, not a short sprint. You'll be embedded in a collaborative engineering and analytics team, working across the full data lifecycle: ingestion, transformation, modelling, and surfacing insights through Looker. You'll work closely with stakeholders across commercial, product, and marketing to ensure data is reliable, scalable, and meaningful.

You'll be given real ownership. This is a role for someone who wants to shape standards, improve the architecture, and grow with a brand that takes its data seriously.

• Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery, ensuring reliability, scalability, and observability at every stage.
• Develop and enforce data models and schema standards using best-practice SQL and dimensional modelling principles, with a focus on clarity, reuse, and performance.
• Own the Google BigQuery environment, optimising queries, managing costs, enforcing data governance, and ensuring the platform scales alongside the business.
• Build and maintain Looker explores, LookML models, and dashboards that translate complex datasets into clear, actionable business intelligence for non-technical stakeholders.
• Work across the full Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to architect end-to-end data solutions.
• Partner with analytics, engineering, and commercial teams to understand data requirements and translate business problems into scalable technical solutions.
• Champion data quality and testing frameworks, implementing monitoring and alerting so that issues are caught early and resolved quickly.
• Contribute to documentation, coding standards, and architectural decision records so the team can move fast with confidence.
• Mentor junior data team members and set the bar for engineering rigour across the data function.
• Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate.

• 5+ years of experience in SQL and data modelling, with strong command of dimensional modelling, star schemas, and performance optimisation.
• 3+ years working with Google BigQuery in a production environment.
• 3+ years hands-on experience with Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Composer).
• 3+ years building and maintaining ETL/ELT pipelines at scale.
• 1+ year working with Looker and LookML to deliver business-facing dashboards and data products.
• Demonstrable experience leading at least one data project end-to-end, from scoping through to delivery.
• Able to communicate clearly with non-technical stakeholders about data limitations, timelines, and trade-offs.
• Comfortable making pragmatic architecture decisions in a cloud-native, modern data stack environment.

• Experience with dbt (Data Build Tool) for transformation layer management and testing.
• Familiarity with orchestration tools such as Apache Airflow or Cloud Composer.
• Python skills for pipeline scripting, data validation, or automation.
• Background in retail, ecommerce, or fashion, understanding how data flows across commercial and digital channels.
• Exposure to real-time or streaming data pipelines using Pub/Sub or Dataflow.
• Experience with Terraform or Infrastructure-as-Code practices in a GCP context.
• Familiarity with data governance frameworks, cataloguing, and lineage tracking.

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters:Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued

At Smart Working, you’ll never be just another remote hire.

Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we’d love to hear your story.