Top MLOps / DevOps Engineer Jobs Openings in 2025

Looking for opportunities in MLOps / DevOps Engineer? This curated list features the latest MLOps / DevOps Engineer job openings from AI-native companies. Whether you're an experienced professional or just entering the field, find roles that match your expertise, from startups to global tech leaders. Updated everyday.

abridgehq_logo

Senior Platform Engineer

Abridge
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US.svg
United States
Full-time
Remote
false
MLOps / DevOps Engineer
Data Science & Analytics
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createxyz_logo

Founding Infra Engineer

Create
USD
0
150000
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200000
US.svg
United States
Full-time
Remote
false
We're hiring our first founding infra engineer. You'll build the platform that supports everything Create does - from how our AI agent builds apps to how those apps scale in production. Create is already used by 300k+ builders (growing fast) to turn English into full stack apps. Some of those apps already serve 100k+ sessions. Soon, it'll be millions of builders and users. You'll own the systems that power those apps and give our AI agent the observability and control it needs to maintain them. Unlike most platform roles, your work won't just help one team - every innovation you ship will scale to thousands of apps and let Create's agent autonomously maintain them for millions of builders + users. Sample projects include:Architecting a one-click deploy system that scales Create-made apps from zero to millions of sessionsDesigning fault-tolerant infra with per-app isolation across data, secrets, and runtimeBuilding real-time observability so Create’s AI agent can debug, monitor, and repair production apps on its ownScaling the backbone that supports hundreds of thousands of simultaneous builders and agents Optimizing retrieval and inference to make AI code gen feel instant - even under massive concurrent loadYour background looks something like:4+ years of experience in infra or platform engineering roles, and fluent in Typescript, Go, Rust, or PythonBuilt or scaled systems with meaningful production traffic and load Production experience with AWS (or similar, GCP, Azure) and Terraform (or CDK/CDKTF/Pulumi) and modern CI/CDStrong experience with databases, caches, proxies, secrets, task queues, observability, microVMs, containers, and orchestration systems Experience with multi tenant SaaS platforms or developer facing productsExcellent problem solving skills, passion for scalable, reliable systems, and a product mindset (you understand how excellence in infra drives product wins like instant deploys, collab, hero moments for customers, etc.) Excited to work in person, 5 days/week, in San Francisco We pay extra attention if you have:Prior experience as a founder or founding engJoined somewhere early enough to experience a few orders of magnitude of scale increaseHands on work with secrets management or security best practices for cloud infra Strong experience with AI/ML workloads and infra Contributions to open source projects
MLOps / DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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lambda_labs_logo

Engineering Manager - Inference Backend

Lambda AI
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
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tensorwave_logo

Network Engineer (HPC/RDMA)

TensorWave
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US.svg
United States
Full-time
Remote
false
MLOps / DevOps Engineer
Data Science & Analytics
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gptai_logo

Member of Technical Staff - Integrations Lead

Basis AI
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US.svg
United States
Full-time
Remote
false
About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleAs the lead of our integrations teams, you'll be responsible for designing, building, and maintaining the integrations that power the Basis ecosystem. This includes integrations into accounting systems, file systems and all the tooling that accountants would do their work in. You would be responsible for recruiting others for this team, providing technical direction, helping set the roadmap etc. Working with our co-founders and head of engineering, you will also help shape our early engineering culture and build out the early scaled engineering team.What we look forExperienced: 5-10 years of designing and building data pipelines; open to exceptional candidates with fewer years and evidence of exceptional abilitySpecific experience with accounting integrations and file integrations is a plus. First principles reasoner: Able to break complex concepts down to their fundamental elements and then build from thereLeader: Knows what needs to get done and how to get thereInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scaleEagle-eyed: Spots and recruits engineering talentCollaborative: Dedicated to mentoring others and open to being mentored in returnPassionate: Genuinely excited about our tech and its impact on accounting, finance, and the economyCurious: Loves to play with new ideas/techOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYC, 5 days a weekAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.
MLOps / DevOps Engineer
Data Science & Analytics
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getwriter_logo

Platform engineer, MLOps

Writer
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GB.svg
United Kingdom
Full-time
Remote
false
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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lambda_labs_logo

Senior Site Reliability Engineer - Fleet Reliability

Lambda AI
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
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yutori_ai_logo

AI Engineer — LLM Infra

Yutori
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US.svg
United States
Full-time
Remote
false
Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strong, and excited about building superhuman AI agents that take actions on the web.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models)Scale infra for agentic inference (throughput and latency of perception-planning-action loops)Build the foundations of a superhuman generalist web-agentWork closely with product engineers to translate cutting-edge AI capabilities into reliable product experiences.What we’re looking for:Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)Experience optimizing post-training and inference performance of multimodal LLMs (data/tensor/pipeline/context/expert parallelism, optimizing MFU, throughput, latency)Low level systems experience (Triton, CUDA)High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.
MLOps / DevOps Engineer
Data Science & Analytics
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getwriter_logo

Platform engineer, MLOps

Writer
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
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getwriter_logo

Platform engineer, MLOps

Writer
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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getwriter_logo

Head of product/privacy legal

Writer
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
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luma_ai_logo

HPC Engineer - Research Infrastructure

Luma AI
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US.svg
United States
Full-time
Remote
true
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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1682523606367

Senior AI/ML Engineer

Artisan AI
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US.svg
United States
Full-time
Remote
false
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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thereflectionio_logo

Technical Staff, Infrastructure

Reflection
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US.svg
United States
Full-time
Remote
false
MLOps / DevOps Engineer
Data Science & Analytics
Apply
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