Top Artificial Intelligence DevOps & Platform Engineering Jobs

The Cloud Native Specialist acts as a technical expert on Kubernetes and multi-cloud strategies, leading POCs, integrating Dynatrace into CI/CD practices, and advocating for cloud-native observability solutions.

Build and lead Graphcore’s SRE organization for a rapidly scaling AI supercomputing platform. Establish the operating model, hire and develop the team, define production readiness and incident-management practices, engineer reliability into compute, networking, storage, and infrastructure systems, and lead major incidents. The role combines organizational leadership with hands-on technical involvement across platform development, troubleshooting, observability, automation, SLOs, and 24x7x365 production operations.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Designs and scales cloud-native development infrastructure supporting multiple engineering teams. Responsibilities include Kubernetes platform operations, infrastructure-as-code with Terraform and Helm, GitOps with ArgoCD, CI/CD modernization, automation, platform migrations, observability, reliability, security, and incident escalation. The role partners with application and SRE teams, establishes engineering standards, reduces operational toil, and mentors engineers while supporting Azure and AKS environments.

Own and define Hanover Park’s infrastructure strategy as the company scales. Responsibilities include AWS, PostgreSQL, Supabase, Vercel, and Trigger.dev infrastructure; CI/CD; observability; security; backups; performance; incident response; SLOs and SLIs; and production reliability. The role also requires application coding, architecture decisions, automation, mentoring, and establishing platform engineering practices from the ground up.

Operate and improve multi-site Red Hat OpenShift and Kubernetes platforms across on-premise and hybrid cloud environments. Responsibilities include cluster lifecycle management, CI/CD, infrastructure as code, monitoring, incident response, security hardening, automation, self-service tooling, and recovery capabilities. The role supports mission-critical workloads in secure or disconnected environments and collaborates with storage, network, security, development, and operations teams.

Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.

Designs and owns scalable CI/CD pipelines, distributed build and test infrastructure, release automation, and engineering workflows. The role improves pipeline reliability, performance, observability, test parallelization, and release quality across multiple teams. Responsibilities include troubleshooting complex infrastructure failures, evolving branching and versioning strategies, integrating quality gates, leading technical initiatives, mentoring engineers, and applying validated AI-assisted engineering workflows.

Build and operate reliable cloud infrastructure, developer platforms, CI/CD systems, observability, and production workloads. Support applications, data systems, ML pipelines, and AI workloads across development, staging, and production. Establish SLOs, monitoring, incident response, automation, infrastructure-as-code practices, and operational standards. Collaborate with Product Engineering, Data Engineering, Data Science, and Security while mentoring engineers and participating in support rotations.

Lead technical direction for a central infrastructure team supporting all product engineering. Design and maintain AWS infrastructure, Terraform modules, CI/CD workflows, observability, security, networking, cost-visibility tooling, and operational platforms. Coordinate multiple initiatives, improve reliability and incident response, establish paved roads adopted by feature teams, guide infrastructure strategy, and coach engineers across the organization.