Top Artificial Intelligence DevOps & Platform Engineering Jobs

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Lead reliability engineering for Caterpillar’s eCommerce platforms by monitoring and troubleshooting production systems, supporting 24/7 incident response, automating deployments, maintaining observability dashboards, improving performance and scalability, collaborating with developers, and ensuring security and compliance across infrastructure and applications.

Build and maintain internal developer platforms, shared services, CI/CD pipelines, cloud infrastructure, observability systems, automation, and self-service tooling. Partner with engineering teams to improve development workflows, deployment reliability, operational efficiency, and developer productivity. Lead foundational technical projects from architecture through rollout and ongoing maintenance while balancing scalability, reliability, and developer experience.

Leads platform architecture across AWS and Azure, commercial, regulated, and sovereign environments. Owns reference architecture, Kubernetes, infrastructure as code, GitOps, provisioning, security integration, and release engineering standards. Drives cross-organizational technical decisions, prototypes complex platform components, partners with product, finance, security, and compliance teams, mentors engineers, and influences architecture adoption through design reviews and RFCs.

Leads workplace support engineering teams and workstreams supporting infrastructure services, technical support, and platform management. Responsibilities include team coaching, project planning and budgeting, troubleshooting servers, networks, identity systems, and cloud environments, and coordinating Azure, AWS, and hybrid infrastructure administration. The role also oversees monitoring, continuity planning, DevOps improvements, escalated issue resolution, and stakeholder communication.

Leads engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Develop AI agents, Python automation, and CI/CD solutions supporting SSD firmware builds, testing, integration, validation, and releases. Analyze pipeline and workflow data to improve engineering quality and productivity. Collaborate with firmware, validation, and software teams to integrate intelligent automation, AI-assisted tools, and scalable development practices.

Develop and maintain DevOps automation, engineering infrastructure, release platforms, and full-stack tools for HPE Networking SD-WAN. Responsibilities include Python development, system monitoring, troubleshooting, CI and configuration management, architecture and integration, process automation, cloud infrastructure support, and collaboration with internal teams and customers. The role also provides technical leadership, mentoring, and guidance on software quality and operational issues.

Lead and develop a platform engineering team while remaining hands-on with architecture, coding, code reviews, and on-call responsibilities. Own infrastructure reliability, scalability, observability, security, compliance, developer experience, and shared LLM/RAG systems. Set technical direction, manage roadmaps and team rituals, recruit engineers, coach performance, and report platform health metrics to leadership.

Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually.