Top Remote Senior Level DevOps & Platform Engineering Jobs in CO

Manage clusters, develop with Golang, provision infrastructure with Terraform, and enhance performance of the platform handling untrusted code.

The Lead Azure Engineer will design and implement cloud solutions on Azure, focusing on migrations, security, automation, and client support, while ensuring best practices are upheld.

As the Platform Engineering Manager, you will lead a team to build and maintain infrastructure services while ensuring security, reliability, and efficiency across software delivery in various environments.

The Sr. Automation Engineer will design and implement cloud ecosystems and automation services, focusing on microservices, AI integration, and scalable infrastructures. Responsibilities include managing pipelines, collaborating with SOC analysts, and adhering to best coding practices.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

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

Design, build, and operate Kubernetes-based ephemeral environments and cloud infrastructure on AWS. Build automation, IaC, CI/CD, and developer self-service tooling. Improve observability, reliability, and incident response while partnering with product, security, and reliability teams to enhance developer workflows and platform scalability.

The Staff DevOps Engineer will design and operate infrastructure for development environments, implement quality gates, and build internal tools for observable pipelines, collaborating with teams to enhance automation and development processes.

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.

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.