DevOps & SRE Jobs- Platform, Kubernetes, Remote ($130k-$280k)
DevOps, SRE, and platform engineer jobs hiring now. Kubernetes, Terraform, AWS, and GPU cluster roles at top AI and tech companies. $130k-$280k salaries, remote-friendly, updated daily.
DevOps and infrastructure engineers keep the systems running that power modern AI and tech products. These roles span platform engineering, site reliability engineering (SRE), and cloud infrastructure - managing everything from Kubernetes clusters and CI/CD pipelines to observability stacks and multi-cloud deployments. AI companies are particularly heavy infrastructure users given the GPU compute and large-scale data pipelines their products require.
Common toolchains include Kubernetes, Terraform, ArgoCD, Datadog, Prometheus, and cloud platforms (AWS, GCP, Azure). Infrastructure engineers at AI companies often work on GPU cluster management, training job orchestration, and high-throughput model serving infrastructure. The work is highly technical and increasingly crosses into ML systems territory.
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Frequently Asked Questions
What is the difference between DevOps and SRE?
DevOps focuses on the culture and practices of integrating software development and operations - building CI/CD pipelines, automating deployments, and improving developer productivity. SRE (Site Reliability Engineering) applies software engineering to operations problems with an emphasis on reliability, availability, and managing production systems at scale. In practice the roles overlap significantly and many companies use the titles interchangeably.
What do infrastructure engineer jobs pay?
DevOps and infrastructure engineers typically earn $130,000 to $230,000 in base salary at tech companies. Senior SREs and platform engineers at top-tier AI companies (OpenAI, Anthropic, xAI) can earn $200,000 to $300,000+. Roles involving GPU infrastructure and ML systems command a premium.