Top Remote DevOps Jobs in Salt Lake City, UT

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Designs, deploys, documents, monitors, and diagnoses cloud-based distributed services and client applications. Provides escalation support, supports AI-enabled software development, manages scaling and databases, maintains CI/CD environments, tests APIs, and monitors application releases and dependencies. The role collaborates across development and operations teams in a fast-moving product company.

Manage and optimize AWS cloud infrastructure in a fully remote DevOps role. Responsibilities include incident response, root cause analysis, ticket resolution, CI/CD and infrastructure automation, configuration management, observability, security best practices, cost optimization, and technical documentation. The role supports migration of Department of Interior applications to a secure multi-cloud platform and requires collaboration with customer DevOps teams.

Build, automate, and operate CI/CD pipelines and infrastructure across commercial and access-restricted cloud environments. Manage infrastructure as code, harden software for compliance-driven deployments, and maintain platform reliability, scaling, and capacity planning. The role requires AWS, GitHub Actions, containerization, restricted-network experience, and an active top-secret clearance with polygraph. Work is remote-first but includes 40–50% on-site customer visits.

Lead DevOps Engineer responsible for designing and managing GitOps and CI/CD pipelines, release workflows, Terraform infrastructure, Kubernetes platforms, observability, cloud networking, security, and cost optimization. The role leads Azure-to-GCP migrations, administers cloud policies and access controls, supports production systems, mentors engineers, and drives Agile release and continuous-improvement practices.

Build, maintain, and optimize CI/CD pipelines, cloud infrastructure, and automated deployment workflows across AWS and Azure. Manage Docker and Kubernetes environments, implement GitOps with ArgoCD, automate provisioning with Ansible and AWX, administer Linux and Windows systems, and support release engineering. Develop scripts, monitor system health, apply security policies, troubleshoot production issues, and collaborate with development, QA, and operations teams to deliver reliable software releases.

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 and improve AWS-based Kubernetes infrastructure, GitLab CI/CD pipelines, Terraform modules, and Helm deployments for a satellite communications platform. The role focuses on cloud reliability, security, observability, IAM, troubleshooting, automation, and operational support across distributed engineering teams.

Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure. Automate provisioning and deployments, monitor system health and performance, troubleshoot infrastructure issues, and improve platform reliability. Implement security controls, access management, observability, and infrastructure-as-code practices while supporting scalable distributed systems and developer infrastructure.

Designs and operates scalable AWS cloud platforms using Golang, Kubernetes, Terraform, and Docker. Responsibilities include infrastructure provisioning, CI/CD automation, container orchestration, monitoring, observability, incident response, root cause analysis, security hardening, and reliability improvements. The role participates in on-call rotations, supports production environments, and collaborates with development, security, and architecture teams to promote DevOps, SRE, and cloud-native best practices.

Own and operate AWS environments across networking, systems, and related services. Support development workflows through AWS environments, automate DevOps tasks with scripts, collaborate with development, infrastructure, and IT teams, and help identify practical AI applications. The role requires strong AWS expertise, problem-solving ability, attention to detail, flexibility, and effective communication.

Own cloud infrastructure, CI/CD, and cloud operations across GCP and/or AWS. Build Terraform-based platforms, Jenkins pipelines, Docker workflows, automation scripts, monitoring, logging, alerting, and incident response processes. Improve cloud security, access control, cost efficiency, and reliability while partnering with engineering and QA teams. Mentor team members and streamline build, testing, and release processes.

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.

Designs, deploys, and maintains Azure cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and production systems. Responsibilities include improving reliability, scalability, security, performance, and cost efficiency; troubleshooting complex incidents; supporting migrations and modernization; developing automation; and collaborating with development, QA, security, and business teams on software delivery and operational readiness.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Builds and operates AWS developer-platform infrastructure, CI/CD pipelines, Terraform-based service infrastructure, Kubernetes and serverless workloads, and self-service onboarding workflows. Responsibilities include configuring connectivity, secrets, observability, security controls, and environment promotion; troubleshooting delivery and production issues; supporting releases; managing infrastructure drift; and contributing to AI-augmented automation and tooling. The role partners with Engineering, Release, SRE, and Infrastructure teams while maintaining documentation and compliance evidence.

Supports and improves CI/CD pipelines, Kubernetes clusters, AWS infrastructure, VM environments, artifact repositories, and observability tooling. Partners with engineering teams to deliver automation and reliability improvements, develops reusable Terraform and workflow components, participates in on-call incident response, and documents systems and processes.

The posting provides limited role-specific details. Based on the title, this position focuses on DevOps engineering enhanced by AI tools and practices within a healthcare technology company. The role likely supports cloud infrastructure, deployment automation, reliability, and development operations, but specific responsibilities, technologies, qualifications, compensation, and work arrangement are not provided.

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.

Build and operate the infrastructure supporting Legion, including CI/CD pipelines, infrastructure as code, Kubernetes environments, observability, and deployments across cloud, on-premises, and customer environments. Improve developer tooling, support secure and compliant platform operations, and assist with deployments to customer and test sites. The role requires strong Linux, networking, scripting, containerization, and production infrastructure experience, with potential support for air-gapped and mission-critical systems.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Develop and maintain GitLab CI/CD pipelines, containerized environments, and automated deployment systems for web applications. Configure Linux servers and AWS services including ECR, ECS, Fargate, RDS, IAM, and CloudWatch. Containerize legacy applications, implement testing and security scanning, troubleshoot pipeline and cloud issues, write supporting scripts and documentation, and train development teams on DevOps practices.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Own CI/CD, release management, developer workflows, and delivery automation for cloud and desktop products. Build secure GitHub Actions pipelines, development and preview environments, automated testing and scanning, deployment safeguards, observability, and reusable onboarding templates. Partner with the Platform Lead on AWS delivery, establish governance for AI coding tools, improve developer experience metrics, and maintain operational documentation across distributed engineering teams.