Top Remote DevOps Engineer Jobs

Designs and maintains Azure cloud infrastructure, reusable Terraform IaC modules, no-code deployment packages, and CI/CD pipelines. Develops automated infrastructure tests with Go and TerraTest, troubleshoots deployments, and improves automation reliability. Collaborates with architects, analysts, and engineering teams to implement standardized solutions. Uses AI tools such as Claude, documents work in JIRA and Confluence, supports client goals, and mentors colleagues.

Designs and manages AWS-based software infrastructure, automated CloudFormation deployments, CI/CD pipelines, engineering environment tooling, GitHub security, and cloud operations. Collaborates with globally distributed development teams to deliver secure, scalable, highly reliable SaaS systems. The role also involves containerized software, monitoring, networking, REST services, and high-availability design.

Operate and support secure IL5 and IL6 Kubernetes platforms, including CI/CD pipelines, infrastructure as code, monitoring, observability, deployment automation, incident response, patching, and troubleshooting. Build dashboards, tests, load-testing scripts, and automation while supporting databases, APIs, digital engineering, and AI workloads. Collaborate with infrastructure and customer teams, document procedures, lead technical efforts, mentor engineers, and provide customer-facing incident management and technical recommendations.

Build and maintain Azure infrastructure, CI/CD pipelines, monitoring, deployments, and production operations. Automate workflows with scripting and AI tools, troubleshoot incidents, improve security and cloud costs, document systems, and mentor engineers. The role requires Terraform, Azure DevOps, PowerShell, containers, SQL Server, observability tools, and regular use of AI assistants.

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.

Leads the design, deployment, security, and operation of multi-account AWS infrastructure. Builds Terraform-based platforms, CI/CD pipelines, observability, disaster recovery, and secure networking solutions while supporting migrations and modernization. Establishes infrastructure standards, operational readiness practices, and engineering processes; mentors engineers and drives technical initiatives independently. Troubleshoots complex production, networking, security, and reliability issues across customer environments.

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.

Develop and maintain CI/CD pipelines, integrations, developer tools, observability systems, and shared developer resources. Troubleshoot production issues through root cause analysis, resolve technical problems, design maintenance procedures, and apply security updates. The role requires collaboration, independent work within established frameworks, and proficiency with Git workflows, Java, Groovy or Python, Docker, Jenkins, and AI prompt engineering.

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.

The DevOps Engineer develops and sustains secure, scalable Kubernetes environments and CI/CD pipelines for DoD data ecosystem deployments. Responsibilities include Helm and YAML configuration, STIG hardening, RBAC, secrets management, ArcGIS deployment automation, cloud resource estimation, governance tagging, integration testing, and workload cost optimization across AWS, Azure, and government impact-level environments.

Designs, develops, deploys, and supports production AI agents using the Claude Agent SDK and AWS Bedrock AgentCore. Builds agent workflows with Python or TypeScript, tool calling, MCP integrations, and API orchestration. Creates GitHub Actions CI/CD pipelines, configures AWS IAM, ECR, and Docker deployments, and implements secure authentication, logging, monitoring, and observability. Troubleshoots and optimizes production performance while supporting client workshops and meetings.

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.

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.

Develop and deploy production AI agents using the Claude Agent SDK and Amazon Bedrock AgentCore. Build agent workflows with Python or TypeScript, tool calling, MCP integrations, and API orchestration. Create GitHub Actions CI/CD pipelines, configure AWS IAM, ECR, Docker, authentication, logging, monitoring, and observability. Troubleshoot and optimize production performance. The role is remote or hybrid for candidates in western U.S. time zones and requires client-site travel.