Top Artificial Intelligence DevOps & Platform Engineering Jobs

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Architect, deploy, and operate secure, scalable Azure infrastructure and IAM for mission-critical spacecraft and satellite systems. Implement IaC, security controls aligned to compliance frameworks, ZTNA, and standardized deployment patterns. Collaborate across IT, InfoSec, and networking to maximize availability, reliability, and security for production workloads.

The Senior Platform Engineer will design and build a developer platform, define service architecture, manage CI/CD systems, and promote infrastructure as code to enhance system scalability and engineer efficiency.

Lead a team building platforms, policy systems, automation, and validation to scale privacy across product and infrastructure. Design AI-assisted review, machine-readable policy, governance and enforcement mechanisms, and privacy validation loops. Partner with product, security, legal, and compliance to guide data use, retention, deletion, and AI/ML privacy tradeoffs. Coach engineers, raise technical quality, and enable product innovation within privacy boundaries including ads privacy and opt-out enforcement.

Maintain and improve Bazel-based build workflows and CI/CD pipelines to boost developer experience and reliability. Own build performance, remote caching/execution, test sharding, and tooling for a multi-language monorepo. Build internal automation, diagnose CI flakiness, support container and Python packaging workflows, and collaborate with developers, researchers, and platform teams to accelerate delivery.

Lead the team managing Vercel's CDN, proxy, and edge caching systems, focusing on performance, reliability, and alignment with business goals. Oversee critical systems management and nurture team development.

Design, build, and operate central cloud infrastructure on AWS; improve reliability, scalability, and automation; own CI/CD, observability (Datadog), and tooling; collaborate with engineering teams to deploy and secure services.

The Senior DevOps Engineer will manage AI deployments, enhance cloud environments, implement Infrastructure-as-Code, and ensure software reliability while guiding junior team members.

As a Senior Infrastructure Engineer, you will design and build core infrastructure, manage IaC, enhance system reliability, ensure security compliance, and mentor engineers.

Designs, deploys, secures, upgrades, patches, and maintains Kubernetes environments across development, test, staging, production, and classified environments. The role manages containerized services, networking, performance, monitoring, alerting, observability, scaling, automation, and lifecycle operations. It also establishes SRE metrics and SLOs, troubleshoots incidents, publishes root cause analyses, and supports software delivery for multiple product teams within an Agile framework.