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%.

Leads DevOps and platform engineering initiatives across AWS cloud infrastructure, CI/CD, Kubernetes, Infrastructure as Code, observability, security, and SRE. Builds scalable platforms supporting consumer applications, data, machine learning, and AI workloads. Develops MLOps and AI platform capabilities, automates provisioning and operations, improves reliability and cost efficiency, and partners across engineering, data, security, and architecture teams. Provides technical leadership and mentorship while remaining a hands-on individual contributor.

Own Flow’s AWS platform, infrastructure as code, CI/CD pipelines, production PostgreSQL operations, isolated customer execution environments, security controls, and AI runtime operations. Build and test TypeScript infrastructure and operational code, implement gated releases and automated rollback, manage reliability, costs, SLOs, and on-call operations, and contribute to product development and mentoring.

Own Flow’s AWS platform, infrastructure as code, CI/CD delivery pipeline, production PostgreSQL database, isolated customer execution plane, and AI runtime operations. Responsibilities include secure deployments, gated releases, migrations, backups, failover, cost attribution, evaluation pipelines, SLOs, on-call support, feature development, and mentoring. The role requires strong TypeScript, AWS, containerization, GitHub Actions, PostgreSQL, AI/ML integration, and enterprise cloud-governance experience.

Own Flow’s AWS platform, infrastructure as code, CI/CD delivery pipeline, PostgreSQL production operations, isolated customer execution environments, security gates, and AI runtime operations. Build infrastructure and operational code in TypeScript, implement reliable rollouts and recovery processes, manage SLOs and on-call responsibilities, and mentor colleagues while contributing to product development.

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.

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.

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.

Own and improve CI/CD, build, test, deployment, and release systems for cloud and native software across Windows, macOS, and Linux. Implement branch controls, quality gates, observability, incident improvements, and software supply-chain security. Manage secrets, signing materials, artifact integrity, and release promotion while modernizing workflows. Troubleshoot complex delivery failures, review automation, and mentor engineers. The role supports customer-hosted and multi-tenant SaaS products and collaborates across engineering, QA, security, product, and support.

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.

Lead cloud financial engineering and automated cost governance across enterprise infrastructure. Design FinOps architecture, policy-as-code controls, CI/CD guardrails, infrastructure automation, Kubernetes cost optimization, billing data pipelines, commitment optimization, and unit-economics telemetry. Build tools using Python or Go, mentor engineering teams, and lead cost architecture reviews while integrating cloud platforms, infrastructure as code, observability, and enterprise governance practices.

Develops and maintains Infrastructure as Code, cloud environments, CI/CD pipelines, and deployment processes. Configures and tunes DevOps infrastructure, designs scalable solutions, applies software development standards, and collaborates with integration, QA, operations, and business teams. The role also mentors junior DevOps engineers and supports the full software development lifecycle using AWS, Terraform or CloudFormation, Docker, GitHub Actions, Linux, Bash, YAML, Python, or Node.js.

Automate and maintain CI/CD pipelines, provision cloud infrastructure, implement infrastructure as code, manage containerized environments, monitor system performance, and improve deployment reliability, scalability, security, and speed. Collaborate with software engineering and cloud teams while using scripting and automation to streamline IT operations.

Develop and maintain Azure DevOps CI/CD pipelines for deploying notebooks, jobs, and workflows to Azure Databricks. Integrate Git-based repositories, automate Databricks job execution, manage infrastructure as code with Terraform, troubleshoot deployments, secure secrets with Azure Key Vault, and collaborate with data and platform engineering teams across development, staging, and production environments.

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.

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.

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.

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.