Top Artificial Intelligence DevOps & Platform Engineering Jobs

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Leads the strategy, roadmap, and execution of Prolaio’s cloud-native platform engineering capabilities across GCP environments. Owns observability, infrastructure tooling, access controls, data lifecycle management, platform services, automation, governance, and AI-enabled features. Partners with engineering, data, security, quality, product, and clinical teams to deliver secure, compliant, auditable healthcare data platforms. Builds and mentors a high-performing platform engineering organization supporting clinical research, analytics, data science, and enterprise data services.

Deploy, operate, and maintain scalable Palantir infrastructure and services for government customers. Responsibilities include monitoring, configuration management, upgrades, migrations, troubleshooting production issues, optimizing reliability, supporting on-call operations, automating manual workflows, and developing infrastructure solutions for Foundry and Apollo platforms.

The Senior DevOps Engineer will build and maintain CI/CD pipelines, Kubernetes deployments, Azure cloud infrastructure, Terraform modules, Docker images, monitoring and logging systems. The role includes strengthening infrastructure security and compliance, supporting software teams with troubleshooting and performance optimization, deploying applications in challenging customer environments, and evaluating development tools. The position focuses on spacecraft modeling and simulation software and requires hands-on design, debugging, and production infrastructure management.

The Staff Site Reliability Engineer will architect reliability strategies, manage observability, and drive operational excellence across teams, particularly in large-scale production systems.

Own FloQast’s multi-region AI platform infrastructure across AWS, including Bedrock model runtimes, sandboxed code execution, Terraform, observability, cost controls, CI/CD, security, and reliability. Support Transform, AI Matching, and AutoBuilder by managing scaling, throttling, tenant isolation, journey-based SLOs, model and prompt delivery gates, and AI-specific on-call processes across US, EU, and AU regions.

Own Hebbia’s AWS infrastructure and developer platform end to end. Design multi-account architecture, networking, IAM, container orchestration, and infrastructure as code. Build CI/CD pipelines, preview environments, automation, observability, and cost controls. Strengthen security, compliance, secrets management, and audit readiness while preparing infrastructure for enterprise scale and multi-region deployments. Partner with product engineers to create reliable, secure, and efficient development and production systems.

As a Senior Engineer in DevOps & Infrastructure, you will manage and evolve cloud infrastructure on AWS, ensure security and compliance, and improve CI/CD practices.

As a Cloud Operations Administrator, ensure uptime for infrastructure, automate processes, troubleshoot issues, and coordinate operational work for improvement.

Own and harden core platform infrastructure on GCP, build and maintain CI/CD and IaC, unify logging and observability, enforce network and environment isolation, improve developer productivity and tooling, and help define platform engineering direction and culture.