Top Artificial Intelligence DevOps & Platform Engineering Jobs

Define, build and operate cloud infrastructure and tooling for high-velocity deployments. Build IaC with Terraform, manage multi-cloud Kubernetes platforms, implement CI/CD pipelines and observability (Grafana), optimise cost and reliability, drive DevOps best practices, and mentor junior engineers.

Design and implement scalable, secure systems and shared infrastructure for a computer vision platform. Build tooling, libraries, and automation to increase engineering efficiency, apply infrastructure-as-code and observability best practices, and collaborate with product, deep learning, and field engineering teams. Onsite in Palo Alto.

The Engineering Manager will lead the cloud platform team to enhance reliability and scalability, oversee a team of engineers, and improve the platform's operational performance, focusing on observability, intelligence, and orchestration capabilities.

Build and operate GCP and on-premises infrastructure supporting high-throughput crawling, search, queues, databases, and ML workloads. Manage Kubernetes clusters, CI/CD, infrastructure as code, observability, enterprise security controls, reliability targets, cost optimization, and incident response. Partner with product and search engineering teams to productionize services and own infrastructure from design through operation.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Design, build, automate, and operate enterprise-scale Azure infrastructure using IaC (Terraform), automation, and secure networking. Lead cloud migrations, AKS/container platforms, CI/CD pipelines, observability, cost governance, and enforce policy-driven security and compliance across environments.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.

The Senior Infrastructure Engineer will own and evolve the Kubernetes infrastructure, design deployment pipelines, manage customer engagements, and ensure compliance with SOC 2 standards while automating secure infrastructure solutions.

Lead design, automation, and optimization of database infrastructure (PostgreSQL/Aurora). Build monitoring, tuning, and scaling strategies, create automation tooling, drive performance and reliability initiatives, and expand into broader SRE responsibilities to improve availability and system health for a growing SaaS platform.

Own and productize on‑prem agent deployments: helm charts, upgrades, rollback, and onboarding. Manage fleet versioning, debug k8s/temporal/storage/auth issues, triage CVEs, produce RCAs, and co‑own per‑customer patching and security communications.