Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Build and maintain backend services, APIs, automations, and event-driven systems to enhance developer experience. Own integrations, platform reliability, observability, and cloud-native AWS/serverless solutions. Collaborate across teams to integrate platform capabilities, automate vendor tooling, and support high-scale eventing and CI/CD workflows.

The Cloud Reliability Engineer III designs and implements cloud services, automates operations, and collaborates with teams to enhance reliability and developer experience.

The Cloud Reliability Engineer III designs and implements cloud services, automates operations, enhances reliability, and collaborates on critical IT escalations.

The Azure Cloud Engineer III designs cloud services, automates operations, enhances reliability, and troubleshoots incidents while collaborating with teams on projects.

Lead design, development, and operation of WHOOP's Kubernetes clusters on AWS. Drive architecture to improve scalability, resiliency, performance, and security across the build/deploy platform. Build tooling for safer, faster Kubernetes deployments, advance CI/CD, mentor engineers, participate in incident response/postmortems, and partner with application, security, and data teams to embed secure-by-default practices and define the long-term infrastructure roadmap.

Deploy, configure, and optimize molecular modeling and informatics applications in customer cloud/HPC environments. Provide technical solutions, maintain scientific computing resources, support installations and integrations, troubleshoot production issues, and collaborate with product managers, scientists, and developers.

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

Lead the Core Platform organization for a cloud-native Unified Factory Platform, owning long-term architecture, scalability, reliability, security, data architecture, and team development. Hire and coach engineering leaders, set platform standards (APIs, observability, automation), drive SLAs and KPIs, and align roadmap with product, hardware, and executive stakeholders for global SaaS deployments.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Lead design, implementation, and operation of cloud platform services to enable self-service IaC, secrets management (Vault), CI/CD maturity (GitHub Actions, Concourse), AWS provisioning, and AI infrastructure governance (Amazon Bedrock). Own delivery of platform capabilities, enforce policy-as-code (Sentinel/Semgrep), mentor engineers, participate in on-call, and collaborate cross-team to improve reliability, security, and developer experience.

Lead design and delivery of scalable frontend and backend systems, define technical standards (CI/CD, testing), drive observability and SRE practices, mentor engineers, coordinate cross-team initiatives, and ensure operational security and high-quality releases for a new product launch.

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.