Top DevOps Jobs in Boston, MA

Design, build, and maintain scalable AWS infrastructure and developer tooling. Enable teams to own systems, support CI/CD, observability, containers, on-call/incident management, and collaborate with SRE/security to ensure resilient, secure services.

Design, automate, and support AWS cloud infrastructure and EKS clusters using Terraform and CI/CD. Build observability, security, and platform automation, troubleshoot distributed systems, create runbooks, and collaborate with engineering and security teams to drive DevSecOps and platform modernization.

Designs, tests, and automates software delivery pipelines across development and production environments. Builds CI/CD processes, cloud-native solutions, infrastructure as code, monitoring, regression testing, and release automation. Troubleshoots pipeline failures and performance issues, collaborates with Agile development teams, and develops solutions across cloud platforms and technical stacks. The role requires eligibility for classified work and supports DevOps maturity in government cloud environments.

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

Lead ownership of Tulip's multi-cloud, multi-region SaaS infrastructure: design resilient cloud architecture, automate CI/CD and operations, define observability standards, manage databases and messaging, lead incident response, and mentor DevOps engineers while partnering with application teams. Participate in on-call rotation and drive operational improvements to eliminate toil and scale reliability globally.

Lead DevOps engineering for mission-focused software teams: design, build, and maintain infrastructure and CI/CD pipelines across unclassified and classified environments. Manage cloud and Kubernetes deployments, ensure DoD compliance with corporate IT, implement monitoring/alerting, and coach teams on DevOps best practices. Support hybrid work with regular on-site access to government facilities.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Lead the strategy, architecture, and scaling of CI/CD and DevOps platforms across multiple product teams. Design secure, resilient pipelines; implement infrastructure as code and cloud environments; integrate security, monitoring, logging, and alerting; improve developer productivity and self-service workflows; optimize build performance; and mentor engineering teams while driving standards and adoption of modern DevOps and AI practices.

Lead DevOps engineering initiatives and developer teams building cloud-based solutions for regulatory and customer needs. Design and deliver systems using cloud-native technologies, microservices, machine learning platforms, containers, infrastructure-as-code, deployment tools, and distributed databases. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and promote iterative Agile delivery practices.

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Manage and optimize multiple platforms, CI/CD pipelines, cloud infrastructure, monitoring, logging, and security tools. Improve system reliability, troubleshoot degraded services and system-level issues, maintain Docker-based infrastructure, and enhance production processes. The role requires collaboration with cross-functional teams, detailed documentation, client-facing communication, and active Public Trust clearance. This is a full-time remote position supporting federal contract work.

Build and operate secure, scalable DevOps platforms across cloud and on-premises environments. Implement CI/CD, configuration management, infrastructure automation, monitoring, deployment support, artifact repositories, security practices, and certificate management. Administer Windows and Linux systems and tools including AWS, Git, Splunk, SaltStack, Ansible, Docker, and databases. Partner with development and configuration management teams, coach engineers, modernize legacy systems, and proactively resolve infrastructure risks.

Lead the evolution of cloud-native infrastructure by architecting and scaling AWS EKS clusters, standardizing Helm deployments, managing Terraform and Terragrunt infrastructure, optimizing cloud costs, and improving observability, reliability, security, and access controls. The role leads cross-team engineering initiatives, establishes DevOps best practices, and mentors engineers while supporting GitOps workflows and scalable application delivery.

The DevOps Engineer will architect and automate cloud infrastructure with Terraform, oversee reliability, monitoring, and performance, support AI/ML environments, and implement security and compliance controls for SOC2 and PCI DSS. The role also involves developing internal tools, managing AI integrations, and supporting a PHP/Laravel platform. Candidates need at least three years of DevOps or SRE experience, infrastructure-as-code expertise, coding ability, database experience, and familiarity with AI/ML workloads.

Manage Azure cloud infrastructure, including compute, storage, networking, load balancing, DNS, security, monitoring, and logging. Build CI/CD pipelines and secure Linux machine images, implement Infrastructure as Code, troubleshoot deployments, and improve application reliability. This two-month contractor engagement requires independent delivery of production-quality infrastructure, with opportunities to support multi-cloud environments and confidential computing.

Designs, optimizes, and sustains AWS cloud environments for Marine Corps Systems Command. Responsibilities include infrastructure-as-code automation, cloud networking, troubleshooting, CI/CD, monitoring, containerization, security compliance, documentation, and risk mitigation under federal standards. The engineer collaborates with technical stakeholders, leads automation initiatives, mentors junior engineers, and supports secure, highly available hybrid-cloud environments.

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.

Lead the architecture and lifecycle of a scalable, secure, multi-cloud infrastructure platform. Standardize AWS and GCP environments through modular Terraform, manage ECS, Lambda, Snowflake, and integrations, implement IAM and OAuth authorization models, and build self-service tooling for engineering and non-engineering teams. Establish CI/CD best practices, improve operational reliability, and enable safe, governed application development across the organization.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

Design, build, and maintain highly available AWS GovCloud infrastructure supporting FedRAMP environments. Manage ECS scaling, RDS PostgreSQL performance and failover, infrastructure as code, disaster recovery, monitoring, alerting, CI/CD automation, incident response, troubleshooting, and post-mortems. Collaborate with engineering teams to improve system reliability, security, and performance.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Build and manage cloud infrastructure for customers using the DuploCloud platform. Responsibilities include containerizing applications, deploying Kubernetes or ECS environments, implementing logging, monitoring, alerting, cloud security, and compliance controls, and supporting SOC 2, PCI, HIPAA, GDPR, and HITRUST audits. The role involves customer onboarding, infrastructure transformation, troubleshooting, technical guidance, direct customer communication, and rotating weekend and holiday on-call coverage.

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.