Top DevOps Jobs in Denver & Boulder, CO

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Lead Site Reliability and DevOps work for a multi-account AWS platform: design scalable IaC and CI/CD, operate Kubernetes/Docker workloads, improve observability and reliability, troubleshoot production, participate in on-call rotation, and drive reliability and automation best practices across teams.

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.

Lead DevOps Engineer responsible for designing, building, and maintaining CI/CD pipelines, cloud and container infrastructure, and monitoring for classified and unclassified environments. Coach teams on DevOps best practices, liaise with corporate IT for DoD compliance, and support deployments on classified networks with hybrid onsite presence.

Lead and mentor a DevOps team to design, implement, and maintain CI/CD pipelines, cloud infrastructure, IaC, container orchestration, monitoring, security controls, disaster recovery, and on-call support to ensure scalable, reliable, and secure systems.

Lead platform engineering and architecture for cloud, on-prem, and manufacturing environments. Implement IaC and GitOps (Terraform, Helm, ArgoCD/Flux), container orchestration (Kubernetes, Docker), DR/HA, telemetry (Prometheus, Grafana), DevSecOps integrations, and automated AI model pipelines. Mentor engineers, author technical designs, and align software, IT, networking, and security to enable reliable, compliant mission-critical deployments.

Lead enterprise-scale service mesh implementation across AWS EKS clusters and hundreds of microservices. Establish Kubernetes standards, operate production infrastructure, improve GitOps and CI/CD automation, support PCI DSS compliance, mentor engineers, and drive reliability, observability, capacity planning, incident response, and global platform architecture for a 24/7 SaaS environment.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Designs and automates software delivery pipelines from requirements through production. Builds cloud-native solutions, develops Terraform infrastructure and shell automation, implements CI/CD, and troubleshoots pipeline failures. The role supports automated builds, regression testing, monitoring, releases, and DevSecOps maturity across cloud environments while collaborating with Agile software teams. A Secret clearance or eligibility is required, along with five or more years of relevant experience or equivalent DevOps experience in lieu of a bachelor's degree.

Designs, automates, and maintains DevOps and DevSecOps tools, processes, and CI/CD pipelines across cloud environments. Responsibilities include automating builds, testing, monitoring, and releases; troubleshooting pipeline failures; developing Terraform infrastructure and shell scripts; and collaborating with Agile software teams throughout the development lifecycle. The role also supports cloud-native solutions and continuous automation across technical stacks.

Develop and manage cloud infrastructure and DevOps processes for client missions. Automate builds, testing, monitoring, and releases across environments; troubleshoot CI/CD pipeline issues; provision virtual machines, networks, storage, and servers; and develop enterprise cloud-native solutions. Collaborate with cloud architects, engineers, and cross-functional teams while supporting modern IT infrastructure and pursuing DevOps or DevSecOps maturity.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

The DevOps/Platform Engineer will manage Caliola's cloud and on-prem infrastructure, ensuring compliance with security and operational requirements and supporting development teams.

Designs, deploys, monitors, and improves applications and infrastructure across physical servers and private and public cloud environments. Responsibilities include building monitoring systems, defining SDLC automation and configuration management strategies, managing CI/CD and release automation, provisioning infrastructure, troubleshooting distributed systems, and contributing to software development. The role collaborates across development and operations teams and supports continuous improvement of engineering workflows.

As a DevOps Engineer II, you will build and scale a SaaS platform, manage infrastructure-as-code, develop data pipelines, and enhance team productivity while collaborating across teams.

The Lead DevOps Engineer will improve cloud infrastructure, drive DevOps best practices, mentor engineers, and ensure system reliability and performance.

Build and maintain automated infrastructure and CI/CD pipelines using Terraform, Docker, Traefik, and Makefile. Implement observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry), backups (pgBackRest/Postgres15), and cloud/Linux administration. Automate deployment and monitoring for AI agent services and support monorepo workflow with SRE and DevSecOps teams.

Build and maintain CI/CD pipelines and automated deployment workflows. Provision and manage AWS infrastructure using Terraform. Operate Kubernetes and containerized environments (EKS, ECS, Fargate) and tooling such as Argo Workflows. Support AI engineering platform adoption and partner with DevOps, Architecture, and Development teams to implement scalable, secure infrastructure patterns and internal developer tooling.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Support and optimize CI/CD pipelines, administer DevOps tools, automate infrastructure and deployments, monitor systems, troubleshoot build and deployment issues, maintain containerized environments (Docker/Kubernetes), apply DevSecOps practices, and contribute to documentation and process improvements on an Agile team supporting GEOINT applications.

Designs and evolves CI/CD pipelines, automates infrastructure provisioning and monitoring, enforces SCM and code quality, supports Agile teams, administers Linux environments, and secures and optimizes deployed systems.

Designs and maintains CI/CD pipelines, automates infrastructure provisioning, configures and monitors systems, supports Agile teams, implements SCM and automated testing, and ensures security, backup, and performance of deployment environments.

Design, deploy, and monitor automation services and core business systems. Implement DevOps standards, manage releases, maintain tooling and version control, produce technical documentation, and collaborate with vendors and engineering teams to deliver reliable, scalable solutions.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.