Top Remote Senior Level DevOps & Platform Engineering Jobs in CO

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

The Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.

Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.

Lead the Pipeline team to own strategy and execution for MongoDB's end-to-end software delivery platform. Drive reliability, scalability, security, developer experience, CI/CD and release systems, telemetry, and organizational growth while partnering across engineering and product.

Lead enterprise cloud architecture, governance, and infrastructure enablement. Define reusable IaC patterns (Terraform), cloud networking (Transit Gateway, multi-account VPCs), and migration/data center exit strategies. Build architecture review processes, drive adoption of cloud-native practices (Kubernetes, CI/CD), and translate technical decisions for stakeholders while coordinating security and compliance.

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