Top DevOps Jobs in Denver & Boulder, CO

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

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.

Supports software deployment, monitoring, automation, and cloud operations under experienced DevOps guidance. Assists with CI/CD pipelines, Kubernetes deployments, Azure cloud resources, Terraform infrastructure, Docker images, system troubleshooting, and security best practices. The role is a three-month temporary engagement with possible conversion to regular employment. It is onsite in Centennial, Colorado, or Long Beach, California, and requires U.S. citizenship and eligibility for DoD clearance.

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

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

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.

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.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Provides technical leadership for a weather-model verification team’s transition to cloud infrastructure. Designs and maintains Kubernetes and Terraform-based architectures, manages Git integrations and automated deployments, implements secure DevOps practices, improves code quality, develops software in Python and Linux environments, documents systems, prepares reports, and presents technical work. Collaborates with NOAA IT and cross-functional engineering and meteorology teams on cloud strategy, security, networking, and containerization.

Build and manage cloud infrastructure, including virtual machines, networks, storage, and server configurations. Develop DevOps and DevSecOps tools and processes to automate builds, testing, monitoring, and releases across environments. Troubleshoot CI/CD pipeline issues, support enterprise cloud-native solutions, and collaborate with architects, engineers, and cross-functional teams to modernize government IT infrastructure.

Own and evolve Azure cloud infrastructure, CI/CD pipelines, infrastructure-as-code, and DevSecOps practices. Design and optimize Azure platforms using Terraform or Bicep, Docker, AKS, and ACR. Manage identity, networking, monitoring, security, reliability, and cloud costs. Support AI workload infrastructure, standardize DevOps practices across applications, respond to production incidents, and lead infrastructure modernization initiatives.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

Design, build, and maintain highly available AWS GovCloud infrastructure supporting FedRAMP environments. Manage ECS scaling, RDS PostgreSQL performance and failover, infrastructure as code, disaster recovery, monitoring, alerting, CI/CD automation, incident response, troubleshooting, and post-mortems. Collaborate with engineering teams to improve system reliability, security, and performance.

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.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Build and support cloud infrastructure, deployment automation, release processes, and containerized applications across AWS, Azure, or Google Cloud. Administer infrastructure using Rancher and Elastic, troubleshoot Kubernetes nodes and pods, collaborate on architecture, and work within Agile sprint and program increment planning. The role requires 4+ years of experience, AWS expertise, relevant security certifications, and an active Top Secret clearance with SCI access and CI polygraph.

Build and manage cloud infrastructure for customers using the DuploCloud platform. Responsibilities include containerizing applications, deploying Kubernetes or ECS environments, implementing logging, monitoring, alerting, cloud security, and compliance controls, and supporting SOC 2, PCI, HIPAA, GDPR, and HITRUST audits. The role involves customer onboarding, infrastructure transformation, troubleshooting, technical guidance, direct customer communication, and rotating weekend and holiday on-call coverage.

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.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Maintain, scale, and improve SaaS production platforms with a focus on automation, observability, disaster recovery, and 99.999% availability. Lead incident response, perform root cause analysis, optimize performance, and collaborate with engineering teams to implement durable operational improvements.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

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.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

The Senior DevOps Engineer will build and maintain CI/CD pipelines, Kubernetes deployments, Azure cloud infrastructure, Terraform modules, Docker images, monitoring and logging systems. The role includes strengthening infrastructure security and compliance, supporting software teams with troubleshooting and performance optimization, deploying applications in challenging customer environments, and evaluating development tools. The position focuses on spacecraft modeling and simulation software and requires hands-on design, debugging, and production infrastructure management.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.