Top Artificial Intelligence DevOps & Platform Engineering Jobs

Ensure reliability and performance of Plaud.ai's AI products at scale by designing and operating cloud-native systems, owning production reliability and incident response, building observability and automation, defining SLOs/SLIs, driving postmortems, and partnering with product and engineering teams to improve operational maturity.

Build internal platform products and user-facing features across the full stack using React/TypeScript and scalable backend services. Create developer tools, deployment dashboards, observability and automation to improve developer experience, reliability, and operations. Collaborate with SREs, product, and design; mentor engineers and drive platform engineering standards.

Design, deploy, and operate enterprise, data center, cloud, and manufacturing networks. Lead automation and IaC (Python, Ansible, Terraform, REST/NETCONF, Git), implement AIOps/LLM-driven monitoring and remediation, manage cloud networking (AWS/Azure), secure networks with Zero Trust and NGFWs, run observability and telemetry, support HPC/storage fabrics, and provide technical leadership and mentoring.

Design and operate secure, multi-account AWS infrastructure and EKS environments using Terraform. Manage shared developer services, CI/CD pipelines, observability, container platforms, and self-service automation. Support MLOps workloads and agentic AI workflows while collaborating with product teams. Ensure infrastructure and software supply chains meet CMMC Level 2, ATO, NIST, and FIPS requirements.

Own and scale Nomic's infrastructure stack across multi-account AWS and Kubernetes: rollout orchestration, inference performance (GPU/model serving), CI/CD, IaC, observability, security, disaster recovery, and cost management to support many customer environments at scale.

Build and maintain internal developer platforms, tooling, and automation to improve engineering productivity. Implement AI-powered tooling and LLM/agent-driven workflows, create service catalogs and self-service infrastructure, partner with engineering teams to improve reliability, and reduce operational overhead through automation and improved developer experience.

The Infrastructure Engineer will design, build, and maintain scalable, reliable cloud infrastructure, focusing on automation and security within a DevOps environment.

The Cloud Infrastructure Engineer will design and build cloud infrastructure for zaimler's platform, focusing on scalability, security, and optimizations for ML/AI workloads.

As a Platform Engineer at Revic, you'll design and maintain scalable cloud infrastructure for AI systems, manage CI/CD pipelines, improve developer experience, and reduce operational friction while ensuring reliability and performance.

Build platform primitives for service provisioning, deploy tooling, workflow orchestration, and service ownership at Cursor. Improve developer experience and production reliability by creating shared abstractions, declarative service configuration, durable workflows, and a service catalogue to speed provisioning and incident resolution.