Top Hybrid DevOps & Platform Engineering Jobs

Design, build, and maintain full-stack cloud service labs that mirror customer architectures and gold standards. Integrate applications, networks, and cloud platforms; automate lab lifecycle, pipelines, and APIs; develop and run functional, regression, upgrade, stability, performance, and interoperability tests with automated test scripts; track and validate test results and produce validation reports.

Own, maintain, and optimize Oracle, PostgreSQL, and MongoDB databases across Azure and OCI. Build CI/CD and IaC for schema deployments, ensure HA/DR, implement observability, support production incidents and on-call rotations, and partner with DevOps and engineering to meet performance and cost targets.

Lead the design, automation, and operation of Azure application landing zones and an Internal Developer Platform. Build CI/CD and GitOps pipelines with Harness, Terraform, AKS/OpenShift, and observability tools. Mentor engineers, drive DevSecOps and FinOps practices, support migrations, incident response, and cost optimization while collaborating across development, operations, and security teams.

As a Staff/Principal Platform Engineer, you will build, secure, and scale AI products, manage cloud infrastructure, integrate CI/CD pipelines, and enhance developer workflows with automated tooling.

Design and maintain the infrastructure for RL environments, focusing on execution, performance optimization, and production excellence while collaborating with research teams and clients.

As an AI Platform Engineer, design and optimize the AI-native platform, develop scalable infrastructure, and collaborate with teams to solve complex AI deployment challenges.

Join an agile team to automate infrastructure, build CI/CD pipelines, manage cloud‑native platforms, prototype solutions, support maintenance and technical reviews, and document/share best practices while learning under experienced engineers.

Own and evolve cloud and on-prem infrastructure for an enterprise AI platform: design IaC, operate Kubernetes clusters, build CI/CD for a monorepo, implement observability, drive SLOs and DR, scale GPU/ML deployments, manage security and secrets, and improve developer velocity.

This role focuses on enhancing developer productivity for Hightouch's engineering team by owning the build/test/deploy processes, improving multi-cloud infrastructure, and driving excellence in testing.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.