Top Artificial Intelligence DevOps & Platform Engineering Jobs

Build, operate, and evolve Fermilab’s on-premise, air-gapped Kubernetes platform supporting accelerator control systems and scientific programs. Responsibilities include infrastructure R&D, requirements gathering, architecture, storage integration, legacy application migration, security planning, troubleshooting, documentation, and user consultation. The engineer will mentor colleagues and ensure reliable integration of Kubernetes services with complex control, networking, computing, and storage environments.

Build and operate shared platform infrastructure, automation, deployment workflows, and self-service tooling across cloud and edge environments. Improve developer velocity, reliability, security, observability, scalability, and production readiness. Responsibilities include Infrastructure-as-Code, CI/CD, monitoring, incident response, operational automation, platform architecture, and technical roadmaps. The role also troubleshoots complex systems and participates in an on-call rotation.

Administers and supports Azure customer enclaves for intelligence community environments. Responsibilities include architecture, technical leadership, system health monitoring, troubleshooting, incident escalation, patching, vulnerability remediation, configuration management, Azure solution deployment, Active Directory and Windows support, AVD administration, and operational maintenance. The role requires collaboration with Microsoft, customers, system owners, and migration teams while supporting C4 operational environments.

Manage and scale global Apple and Windows endpoint fleets using Jamf and Intune. Develop scalable device-management runbooks for M&A, enforce security baselines, support systems integration, lead technical projects, resolve cross-functional workflow issues, and participate in IT escalation support. The role requires expertise in cloud platforms, identity and SSO, API integrations, endpoint compliance, security frameworks, regulatory requirements, and IT strategy.

Leads and builds Infinia’s Release Engineering, DevOps, SecDevOps, and SRE functions. Owns release pipelines, CI/CD automation, infrastructure as code, security tooling, reliability standards, observability, incident response, capacity planning, and scaling. Establishes SLOs, SLIs, error budgets, and operational practices while building globally distributed engineering teams. Partners with product, QA, security, and executive leadership to communicate roadmaps, risks, and technical tradeoffs.

Own and scale Brellium’s production platform and infrastructure supporting high-volume clinical-note audits and AI pipelines. Establish reliable, observable, cost-effective infrastructure patterns; improve CI/CD and developer environments; manage cloud and tooling spend; advance security, SOC 2, and HIPAA compliance; and consolidate identity, access, and device management. This founding engineer will define the platform roadmap, collaborate with engineering leadership, and improve productivity across the organization.

Leads the platform and infrastructure team responsible for agent-ready environments, tooling, observability, context, CI, security, and compliance. Owns shared infrastructure decisions, production reliability, incident response, postmortems, and cross-team standards. Works hands-on with engineers to resolve systemic issues, determines ownership boundaries, and hires and develops a small senior team. The role requires organization-wide technical direction and accountability for infrastructure serving all engineering teams.

Own and improve developer experience, internal tools, CI/CD, and platform foundations on GCP. Build AI-focused tooling, enhance observability and reliability, support compliance (SOC 2), and enable engineers through documentation, guardrails, and platform patterns.

Develop and sustain Linux-based DevOps environments, including installation, configuration, integration, monitoring, troubleshooting, and compliance of software tools and packages. Build Bash and Python scripts, administer bare-metal Kubernetes clusters, implement infrastructure automation with Ansible and Terraform, support containerized applications, and apply CI/CD and SRE practices. The role also supports security compliance, incident resolution, and mission users across intelligence-community partner organizations.

Build and operate highly available infrastructure for WRITER’s enterprise AI platform. Responsibilities include designing cloud and Kubernetes systems, automating infrastructure with Python or Go, managing Terraform and Helm, leading incident response and postmortems, defining SLOs, improving observability and reliability, and owning infrastructure initiatives end to end. The role also requires daily use of AI-assisted development workflows and collaboration with product, security, and engineering teams.