Top Remote Senior Level DevOps & Platform Engineering Jobs in CO

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.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

Lead design, administration, and reliability engineering for enterprise PostgreSQL and SQL Server environments across AWS and on-prem. Drive cloud migrations, IaC with Terraform, performance tuning, HA/DR, automation, observability, CI/CD integration, cost optimization, and 24x7 production support while mentoring junior DBAs and establishing operational best practices.

Technical leader for Salesforce release lifecycle: design and evolve enterprise CI/CD, automate deployments, manage cross-system releases (Salesforce, NetSuite, AWS), resolve deployment and production issues, and integrate AI-driven tooling to improve velocity, reliability, and developer self-service.