Top DevOps Jobs in Boston, MA

Manages and develops a DevOps platform engineering team while defining platform strategy, policies, and standards. Architects and supports cloud and on-premises infrastructure, migration, provisioning, deployment, monitoring, security, and disaster recovery solutions. Collaborates with architects, developers, security teams, vendors, and business leaders to troubleshoot issues, adopt new technologies, improve reliability, and reduce operating costs.

Designs, manages, and troubleshoots hybrid cloud and bare-metal infrastructure supporting robotic systems. Responsibilities include networking equipment management, cloud infrastructure optimization, Kubernetes and Terraform deployments, Linux administration, infrastructure automation, architecture planning, performance troubleshooting, security, and global deployments. The role also supports customers, evaluates technologies, improves processes, and participates in an on-call rotation.

Design and operate scalable, secure, highly available AWS infrastructure for a revenue management platform. Build infrastructure automation, CI/CD tooling, monitoring, and developer tools; advise on architecture, improve reliability and security, troubleshoot 24/7 incidents, lead root cause analyses, support AI-enabled DevOps workflows, and mentor engineers. The role participates in a weekly on-call rotation and is remote in the US or Canada.

Owns uptime, cloud infrastructure, CI/CD pipelines, Infrastructure as Code, shared Linux environments, and incident response for live client applications across Azure, AWS, and Cloudflare. Responsibilities include provisioning environments, managing secrets and identities, maintaining monitoring and reliability practices, supporting releases and database migrations, responding to production incidents, and leading post-incident reviews. The role requires strong Azure DevOps, Bicep or Terraform, Linux, AWS, Cloudflare, and observability experience.

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.

As a DevOps Engineer, you will design and maintain cloud infrastructure, automate processes, and ensure system reliability and security.

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.

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.

Build, secure, and operate AWS and AWS GovCloud infrastructure across commercial and government environments. Own CI/CD pipelines, Kubernetes and GitOps deployments, infrastructure as code, environment segmentation, secrets management, monitoring, incident response, database migrations, and compliance automation. Support FedRAMP, GovRAMP, and IL5 authorization requirements, collaborate with Security/GRC on audits and continuous monitoring, and improve reliability, scalability, and engineering productivity.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Designs and supports DevOps and backend solutions for complex enterprise and mission-critical environments. Builds cloud-native architectures, backend applications, APIs, microservices, automation services, and CI/CD pipelines. Automates infrastructure and deployments using Terraform and scripting languages, supports Kubernetes and containerized workloads, and troubleshoots production issues across cloud platforms. The role requires a bachelor's degree, Secret clearance eligibility, and substantial DevOps and backend development experience.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Design, implement, and maintain scalable, secure cloud infrastructure with emphasis on AWS, Kubernetes, and Terraform. Build and operate CI/CD pipelines, automate provisioning/configuration, monitor performance, troubleshoot incidents, participate in on-call rotations, create runbooks and documentation, and collaborate cross-functionally to meet application and business requirements.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

The DevOps Engineer will manage the software deployment pipeline, maintain IT infrastructure, troubleshoot production applications, and ensure security practices. Responsibilities include cloud deployments, continuous monitoring, and support for internal and external applications.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.

Architect and operate scalable, secure SaaS infrastructure supporting a cyber-incident response platform. Build CI/CD pipelines, manage multi-cloud infrastructure with Terraform, operate Kubernetes environments, improve reliability and observability, and maintain data pipelines, data lakes, databases, secrets management, and deployment automation. Ensure high availability and operational resilience during active customer cyberattacks.

Designs, deploys, and manages AWS cloud infrastructure using Terraform, Docker, and CI/CD tools. Responsibilities include cloud networking, database and container services, DNS, VPNs, remote IoT device management, monitoring, cost and performance optimization, high availability, disaster recovery, and real-time infrastructure troubleshooting. The role requires strong Linux, Bash, Python, SQL, AWS, and distributed-systems expertise while collaborating across remote engineering teams.

The Principal DevOps Engineer will lead technical direction for DevOps practices, design CI/CD pipelines, manage cloud-native architectures, and mentor teams to optimize delivery processes.

Build, operate, and improve cloud infrastructure for FedRAMP-authorized environments, including AWS GovCloud, Kubernetes, Terraform, Ansible, CI/CD, observability, and security automation. Investigate production incidents, remediate vulnerabilities, support compliance and audits, and improve reliability, scalability, and monitoring. Collaborate with engineering, security, compliance, and international teams while making independent architectural and operational decisions.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

Join a leading healthcare IT company as a DevOps Engineer to support, transform, and optimize technology infrastructure with a focus on containerization and automation.

Designs and maintains DevSecOps infrastructure for AWS-hosted microservices and APIs. Builds CI/CD pipelines, containerized deployments, and Infrastructure as Code using Terraform, CDK, or CloudFormation. Develops monitoring, logging, and performance tools; supports security reviews, vulnerability management, and resilient systems. Requires strong AWS, EKS/Kubernetes, networking, scripting, programming, troubleshooting, Agile collaboration, and SRE skills.

Build and maintain Azure DevOps CI/CD pipelines, manage Octopus Deploy releases, configure Azure infrastructure, and develop C# code. Diagnose performance and production issues across applications, databases, pipelines, and infrastructure. Improve observability through logging, metrics, and alerting; conduct code reviews; troubleshoot complex problems; and collaborate with engineering and product teams to plan and deliver releases.