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Find work Find Remote MLOps & AI Infrastructure Jobs Kubernetes

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Remote Kubernetes MLOps Jobs

Kubernetes MLOps roles involve orchestrating AI workloads at scale — managing model serving clusters, handling autoscaling for inference, and maintaining reliable infrastructure across distributed systems.

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Posted 1 hour ago

AI Resident UK/EMEA

Full-time

English

python pytorch azure gcp llm +3 more

About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...

Open job

Posted 2 hours ago

Senior Product Security Engineer

senior

Full-time

English

python docker aws azure machine learning +3 more

About our CompanyAt Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their m...

Open job

Posted 3 hours ago

Devops Engineer, US

Full-time

English

aws azure gcp ci/cd kubernetes

About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...

Open job

Posted 3 hours ago

Senior Site Reliability Engineer (SRE)

senior

Full-time

English

python docker ci/cd

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...

Open job

Posted 5 hours ago

Infrastructure Engineer

Full-time

English

aws gcp ci/cd kubernetes

About ElicitElicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, startin...

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Posted 7 hours ago

Site Reliability Engineer

Full-time

English

reinforcement learning python machine learning mlops ci/cd +2 more

Who we areHelsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societi...

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Posted 7 hours ago

Software Engineer, Hermes Cloud

Full-time

English

python docker aws node.js azure +4 more

The RoleAs a Software Engineer on the Hermes Cloud team, you'll own full-stack engineering across the cloud platform that powers Hermes Agent and Nous...

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Posted 11 hours ago

Senior HPC Engineer, GPU Compute

senior

Full-time

English

tensorflow python pytorch kubernetes

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...

Open job

Posted 12 hours ago

DevOps Engineer - Platform Integrations

Full-time

English

python ci/cd kubernetes

About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...

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Posted 13 hours ago

Senior Staff Infrastructure Engineer - Virtualization

staff

Full-time

English

kubernetes

About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...

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Career guide

How to land a remote Kubernetes MLOps Engineer role

Highlight your Kubernetes experience

List production projects where Kubernetes was central. Describe the problem, your approach, and the measurable outcome. Specific experience wins over certification.

Browse roles matching your stack

Filter by Kubernetes and read job descriptions carefully. Apply to roles where your experience solves their actual problem.

Write a focused application

Reference the job's specific challenge and explain how your Kubernetes experience addresses it. Short and specific beats long and generic.

Prepare for the technical screen

Expect to discuss Kubernetes trade-offs, design decisions, and production challenges. Honesty about limitations signals real experience.

Know your market rate

Remote AI roles with Kubernetes expertise are competitive. Research salary ranges and negotiate based on your production experience, not just years of experience.

Frequently asked questions

What does a remote Kubernetes MLOps role look like?

MLOps roles with Kubernetes focus on deployment reliability, model monitoring, pipeline orchestration, and platform scalability. You'll own the infrastructure that keeps AI systems running in production.

What salary do remote Kubernetes MLOps engineers earn?

Remote MLOps engineers with Kubernetes expertise earn $100K–$175K/year. Senior engineers with platform ownership and multi-cloud experience reach $150K–$200K+ at well-funded AI companies.

Can I transition from DevOps to Kubernetes MLOps?

Yes. Many MLOps roles value strong infrastructure skills over deep ML research. If you know Kubernetes and understand how to build reliable deployment systems, you're a competitive candidate for most MLOps positions.

What makes a strong Kubernetes MLOps application?

Describe specific infrastructure challenges you solved with Kubernetes — the scale, the failure mode, and the measurable outcome. Concrete production stories beat abstract tool knowledge.

Is RemoteAI free for MLOps job seekers?

Yes, completely free for candidates. Browse jobs, build your profile, and apply directly to hiring teams.

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