Top Artificial Intelligence DevOps & Platform Engineering Jobs

The Senior Platform Engineer will design and maintain infrastructure systems, deploying software for autonomous vehicles, with a focus on security and compliance in various environments.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

The SRE will ensure the reliability of backend systems, scale Kubernetes-based control planes, and improve automation mechanisms while managing incident processes.

Lead a team of Cloud and Site Reliability Engineers to ensure system reliability, performance, and security. Manage operational workload including on-call, incident response, and automation to reduce toil. Define observability, disaster recovery, and cost-optimization strategies. Collaborate across squads, recruit and mentor engineers, and align squad vision with the platform roadmap.

The Senior Kubernetes Engineer will manage and enhance Kubernetes clusters, automate deployments, ensure security, and collaborate with teams to deliver reliable containerized applications.

Design, develop, and deploy scalable cloud-native applications in Python. Build and maintain infrastructure-as-code, CI/CD pipelines, Kubernetes/Helm deployments, and ensure security compliance. Collaborate with engineers and data scientists to produce maintainable, modular software for DoD customers.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Lead technical ownership and resolution of complex production issues; coordinate cross-functional incident response; troubleshoot C#/.NET and JavaScript systems; analyze logs/metrics (Splunk, New Relic); drive reliability, observability, and customer-first improvements while mentoring teams.

Lead design and delivery of scalable frontend and backend systems, define technical standards (CI/CD, testing), drive observability and SRE practices, mentor engineers, coordinate cross-team initiatives, and ensure operational security and high-quality releases for a new product launch.

Lead an Engineering Enablement team to improve developer velocity, quality, and effectiveness by owning roadmap, building tooling and platform capabilities, treating internal platforms as products, advancing AI-native agent operability and validation infrastructure, raising technical standards, and growing engineers through hiring and coaching while partnering across engineering teams to drive measurable outcomes.