Top Remote DevOps Engineer Jobs

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

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.

Operate, improve, and scale Instrumental’s AWS-based SaaS platform through automation, infrastructure engineering, CI/CD, observability, reliability improvements, and incident response. Build secure production infrastructure, eliminate operational toil, support on-call operations, investigate root causes, and partner with engineering and security teams. The role requires expertise in AWS, Infrastructure as Code, monitoring, containers, scripting, and production SaaS environments.

Develop and maintain GitLab CI/CD pipelines and Docker-based containerized platforms for a CNO development environment. Create Python and shell automation for builds, testing, and provisioning; manage artifacts in Artifactory; troubleshoot pipeline and container issues; and collaborate with software engineers on CI/CD integration. The role requires a bachelor's degree or equivalent experience and at least five years of relevant experience, with opportunities to apply infrastructure-as-code and DevSecOps practices.

Leads a DevOps team building continuous delivery infrastructure, automated deployment frameworks, and secure, highly available cloud platforms. Responsibilities include architecture and design, infrastructure monitoring, incident response, root-cause analysis, operational support, business continuity, and collaboration with development teams, SaaS operations, and cloud providers. The role mentors engineers, improves deployment and operational efficiency, manages infrastructure across multiple sites, and remains hands-on with DevOps tools and practices.

Manage cloud-based product deployments and services, deploy Red5 Pro, build and maintain CI/CD pipelines, automate deployments and monitoring, evaluate systems against industry standards, and support cross-functional engineering, customer, and sales teams.

Designs, develops, integrates, deploys, and supports full-stack applications, BSS/OSS systems, APIs, databases, and internal business platforms. Builds CI/CD pipelines, containerized applications, automation, monitoring, and secure integrations across enterprise systems. Troubleshoots application and infrastructure issues, contributes to architecture and releases, documents technical solutions, collaborates across technical teams, and mentors developers. The role requires end-to-end ownership across development, DevOps, deployment, observability, security, and production support.

Designs, deploys, and operates scalable AI/ML solutions, including predictive models, large language model applications, agentic workflows, and RAG pipelines. Builds CI/CD, model versioning, testing, monitoring, retraining, and rollback capabilities. Manages cloud deployments, observability, security, governance, HIPAA-aligned practices, and system integrations. Troubleshoots data, infrastructure, model, and orchestration issues while collaborating with data engineers, data scientists, platform teams, and business stakeholders.

Develops and maintains Azure DevOps CI/CD pipelines for deploying notebooks, jobs, and workflows to Azure Databricks. Automates Databricks job execution, manages infrastructure as code with Terraform, integrates Git repositories, monitors deployment issues, and secures secrets using Azure Key Vault. Collaborates with data engineering and platform teams across development, staging, and production environments while applying DevOps, testing, version control, and notebook promotion practices.

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.

Leads the design and optimization of CI/CD pipelines, cloud infrastructure, deployment automation, and production reliability. Owns delivery-platform components, develops Infrastructure as Code, operates Docker and Kubernetes workloads, and implements monitoring and observability. Partners with Security on DevSecOps controls, leads incident root-cause analysis, improves system availability and performance, and mentors engineers. The role supports high-availability environments and establishes engineering standards across teams.

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, manage AWS IAM, ECR, Docker packaging, authentication, logging, monitoring, and observability. Troubleshoot and optimize agent performance while supporting client workshops and meetings through travel. The role requires extensive overall experience and hands-on GenAI development.

Build and operate SmartSuite’s AWS cloud infrastructure, Terraform modules, CI/CD pipelines, containerized services, monitoring, and security controls. Troubleshoot production incidents, improve reliability and scalability, optimize cloud costs, support compliance initiatives, and participate in on-call rotation. Collaborate with engineering and product teams on automation, deployment strategies, infrastructure architecture, documentation, and continuous operational improvement for a production SaaS platform.

Manage and optimize cloud infrastructure, CI/CD pipelines, infrastructure-as-code automation, containerized deployments, monitoring, observability, and security controls. The role supports scalable and reliable platforms across AWS, GCP, or Azure using tools such as Terraform, Docker, Kubernetes, and scripting languages.

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.

Deploys and operates AI chatbot infrastructure on Azure, focusing on scalability, reliability, automation, monitoring, cost optimization, and continuous delivery. Responsibilities include building CI/CD pipelines, provisioning infrastructure with ARM, Bicep, or Terraform, managing containers and Azure services, supporting production systems, and improving security and performance. The role also involves collaboration, troubleshooting, documentation, and occasional on-call support.

Support and scale cloud, DevOps, and production ML infrastructure. Responsibilities include managing AWS, Databricks, SageMaker, Kubernetes, CI/CD pipelines, Infrastructure as Code, model serving, monitoring, security, observability, incident response, and disaster recovery. The role automates deployments and operational processes, improves reliability, supports AI and agentic products, and collaborates with software, ML, QA, security, and support teams.

Build, scale, secure, and maintain Span’s cloud infrastructure. Improve CI/CD pipelines, automate operations with infrastructure as code and scripting, strengthen monitoring and observability, optimize performance and costs, support production incidents, and enable developer productivity. Collaborate with software engineers on architecture, reliability, security, and deployment needs.

Build and maintain highly available platforms for modern operational systems. Develop infrastructure as code, automation, managed services, CI/CD pipelines, and cloud infrastructure using Terraform, AWS, Kubernetes, GitLab, and Argo CD. Patch and harden RHEL systems, maintain compliance, tune platform performance, troubleshoot infrastructure, and improve reliability. The role is primarily performed onsite in a SCIF and requires an active Top Secret clearance with polygraph and recent CI polygraph.

Designs, builds, and maintains highly available cloud-native platforms for microservices applications. Develops Infrastructure as Code, automation, CI/CD pipelines, and managed AWS services using Terraform, GitLab, and Argo CD. Maintains and hardens RHEL systems, deploys Kubernetes and Docker-based environments, configures monitoring and logging, and troubleshoots infrastructure issues. Collaborates with development teams to improve performance, reliability, security, and compliance for mission-critical cyber applications.

Provides Tier I/II support for a 24/7 operational watchfloor, handling incident intake, diagnosis, resolution, escalation, documentation, and user communications. Supports Linux, Kubernetes, containerized, cloud, and DevSecOps environments while maintaining knowledge bases and ticketing records. The role requires rotating 12-hour shifts, security clearance with polygraph, and collaboration with government engineers on standards and database management.

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.