Top DevOps Jobs in Boston, MA

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.

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.

Develop and maintain DevOps and DevSecOps tools, CI/CD pipelines, automation, cloud-native solutions, infrastructure as code, and testing workflows. Troubleshoot pipeline failures, automate builds and releases across environments, monitor systems, and collaborate with Agile software development teams. The role supports government cloud environments and requires eligibility for a Secret clearance.

Build and maintain CI/CD pipelines, infrastructure, repositories, DevOps policies, and SDLC tooling. Support software product teams in an Agile environment, improve developer experience and R&D processes, monitor services, investigate emerging technologies, and contribute to platform modernization.

DevOps Engineer responsible for operating, maintaining, and optimizing cloud platforms and production infrastructure. The role manages CI/CD pipelines, improves system reliability and security, maintains containerized infrastructure, and enhances monitoring and logging. Required expertise includes AWS, Jenkins, Docker, Ruby, Kubernetes-related platforms, security tools, and cloud infrastructure. The position is fully remote but requires U.S. citizenship and an active Public Trust clearance or higher.

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.

Support deployments and production operations in a controlled AWS environment, troubleshoot infrastructure across compute, networking, security, databases, and observability systems, manage incidents and on-call response, maintain infrastructure through code, and preserve export-control boundaries. The role also requires release verification, rollback, monitoring, patching, backup validation, cost oversight, runbook development, documentation, and collaboration with product teams and external vendors.

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.

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.

Own Bitsight’s cloud platform architecture, availability, Kubernetes operations, Terraform infrastructure modules, AI platform infrastructure, data residency, observability, and cloud cost controls. Lead incident response, set service reliability objectives, mentor engineers, establish reusable self-service tooling, evaluate platform technologies, and provide technical direction across AWS, GCP, and Azure.

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.

Build and support secure, scalable Microsoft Azure infrastructure for enterprise, data, and AI applications. Develop CI/CD pipelines, infrastructure-as-code solutions, cloud security controls, deployment automation, monitoring, and observability. Troubleshoot infrastructure and deployment issues, perform root-cause analysis, and partner with engineering, security, architecture, and business teams to improve cloud-native delivery and platform reliability. The role also supports Azure AI and Microsoft Foundry capabilities.

Develop and manage cloud-native infrastructure and DevOps processes for clients. Automate builds, testing, monitoring, and releases across environments; troubleshoot CI/CD pipeline issues; provision virtual machines, networks, storage, and servers; and support modern cloud deployments. Collaborate with cloud architects, engineers, and cross-functional teams while working with technologies such as Kubernetes, Docker, AWS, Jenkins, and Azure.

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.

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.