Remote DevOps Jobs

About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.

Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.

If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.

What We’re Looking For

We need someone who:

• Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.

• Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.

• Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.

• Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.

The Work

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads

• Translate customer requirements into concrete specifications for recommendation models

• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale

• Fine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use cases

• Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results

• Build reusable applied tooling and workflows that accelerate future customer engagements

Desired Experience

Must-have:

• Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)

• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems

• Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)

• Experience with large-scale data pipelines for user interaction data and feature engineering

• Proficiency in Python and PyTorch with autonomous coding and debugging ability

Nice-to-have:

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)

• Experience delivering recommendation systems to external customers with measurable business outcomes

• Familiarity with serving recommendation models under latency and throughput constraints

What Success Looks Like (Year One)

• Independently owns and delivers enterprise recommendation system engagements with minimal oversight

• Is trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impact

• Has built reusable applied workflows or tooling that accelerate future customer engagements

What We Offer

• Real ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.

• Compensation: Competitive base salary with equity in a unicorn-stage company

• Health: We pay 100% of medical, dental, and vision premiums for employees and dependents

• Financial: 401(k) matching up to 4% of base pay

• Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Please mention the word **LYRICAL** 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.

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Please mention the word **OBTAINABLE** 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.

To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk. About Us Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm. Learn more about us and our work at quanata.com Our Team From data scientists and actuaries to engineers, designers and marketers, we’re a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world. We’ve come together to create the context-based insurance solutions and experiences of the future. We know that the key to our success isn't just about nailing the technology—it’s hiring the talented people who will help us continue to make a quantifiable impact. The role Quanata is seeking a Cloud Enablement Engineer to join us in providing a suite of solutions centered by AWS services that enable our product development and engineering organization to create, and deliver Quanata’s technical offerings. Our team focuses on enabling software engineers to reliably and rapidly deliver software, and manage the company’s cloud infrastructure standards, while empowering developers to build for their needs. Your day-to-day Implement AWS cloud standards for infrastructure, networking, and s

Please mention the word **APPROPRIATE** 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.

True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that said outcomes begin and end with our people, and that is what we have built, a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top tier services to our customers. In 2023, True Zero was recognized as a “Best Places to Work” in two categories ("Prosperous and Thriving" ($5MM – $50MM in gross revenue) and "Mid-Atlantic Region" (DC, DE, MD, NC, VA, WV)) and in 2022, was recognized as one of Inc. Magazine’s Top 5000 Fastest Growing Companies.

We are seeking a skilled and experienced Data Security Engineer who will play a crucial role in ensuring the secure handling of our business and client data. The candidate will collaborate closely with internal and external stakeholders, ensuring that information is gathered and managed securely. The ideal candidate will possess in-depth knowledge of SQL, with the ability to decompile SQL statements for performance optimization. This role demands expertise in database activity monitoring, cloud data security technologies and cloud security best practices. The candidate shall have the ability to work independently under minimal supervision. This position reports to the Head of Security Engineering, providing regular updates on data security initiatives and challenges faced.

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Responsibilities

• Collaborate with internal and external stakeholders to ensure secure data gathering, processing and management. 
• Analyze SQL statements, identify and help resolve potential performance issues for optimized database operations.
• Designing secure network architectures, conducting penetration testing, managing security tools (e.g., SIEM, IDS/IPS), and establishing security policies.
• Working with DevOps, IT, and software teams to integrate security into the development lifecycle (DevSecOps).
• Deep knowledge of network protocols, operating systems (Linux/Windows), cloud security (AWS/Azure/GCP), and scripting/programming languages (Python, Bash).
• Implement and uphold cloud data security technologies and best practices.
• Operate independently, demonstrating proactive problem-solving skills and attention to detail.
• Effectively communicate complex technical concepts through strong written and verbal skills. - Regularly report progress and security concerns to the Head of Security Engineering.

Requirements

• Bachelor's Degree in Computer Science, Information Management (IM), Information Technology, Engineering, or equivalent with 6 years of technical experience, or 4 years' experience in IT Solutions at senior management
• Certified Information Systems Security Professional (CISSP) mandatory with Information
• Systems Security Engineering Professional (ISSEP) concentration
• Project Management Institute (PMI) Project Management Professional (PMP)
• Information Technology Infrastructure Library (ITIL) 4 Foundation
• 10 years of successful enterprise experience in an IT or technology-related field, with the last 5 years, on large government technical contract/BPAs

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We’re actively searching for talented security and technology practitioners who are ready to experience the True Zero difference. As a True Zero team member, you'll enjoy:

- Competitive salary, paid twice per month

- Best in class medical coverage

- 100% of medical premiums covered by True Zero

- Company wide new business incentive programs

- Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.)

- 3 weeks of PTO starting + 11 Paid Holidays Annually

- 401k Program with 100% company match on the first 4%

- Monthly reimbursement of Cell Phone and Home Internet costs

- Paternity/Maternity Leave

- Investment in training and certifications to broaden and deepen your technical skills

Please mention the word **EXCELS** 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.

MinIO is the industry leader in high-performance object storage and the company behind the world’s fastest, most widely deployed object store, powering production infrastructure for more than half of the Fortune 500, including 9 of the 10 largest global automakers and all 10 of the largest U.S. banks. Our enterprise offering, AIStor, is engineered to handle the scale, speed, and pressure of modern AI and analytics, from terabytes to exabytes, all in a single namespace. As a Site Reliability Engineer, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers. This role requires deep expertise in DevOps practices, SRE, systems programming, distributed computing, and storage architectures. You will work closely with a world-class team of engineers to push the boundaries of object storage performance and reliability. What You Will Do: - Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security. - Help building and delivering high-performance distributed storage solutions with a focus on cloud-native architectures. - Validate the MinIO Software according to customer environment and requirements, ensuring no surprises are observed at customer deployments. - Improve existing features, fix critical issues, and contribute to open-source repositories. - Collaborate with other engineers to refine architecture, APIs, and integrations. - Write efficient, well-documented, and maintainable code. - Conduct performance benchmarking and debugging of complex storage environments. - Work closely with customers to address issues, and manage expectations. Your Skills and Experience:

Please mention the word **LIGHTER** 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.