Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

The Staff Infrastructure Engineer will lead infrastructure strategy, drive reliability and operations, implement security practices, and mentor other engineers in a healthcare-focused environment.

Design and develop cloud-scale software, maintain cloud infrastructure, ensure compliance, and collaborate with teams to deliver high-quality applications.

The Director of Enterprise IT will lead global engineering functions in Network, Infrastructure, and End-User Computing, focusing on strategy, governance, and operational performance in a high-availability environment. Responsibilities include driving automation, modernizing IT processes, and collaborating with senior leaders on cloud and infrastructure strategy.

The Software Build Engineer will manage cloud infrastructure, improve CI/CD processes, and support data pipeline development and deployment for MassMutual's Core Data Platform team.

Design, build, and maintain internal tools and integrations powering business operations. Partner with Finance, Operations, and other teams to implement APIs, data pipelines, and automation. Ensure reliability and performance of systems like NetSuite, Salesforce, Stripe, and Boomi. Deliver production-quality web applications and mentor other engineers.

As a Principal Engineer for Core Infrastructure at Klaviyo, you will architect and enhance the Kubernetes platform and CI/CD pipelines, improve developer velocity, and ensure operational excellence while incorporating AI tools for automation and incident response.

Lead a small team of Site Reliability Engineers focused on the storage layer of MongoDB's cloud services. Responsibilities include setting technical direction, managing capacity, and improving operational processes.

The role involves leading technology strategy, managing cross-functional teams, and driving cloud adoption and enterprise-wide transformations.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

The Senior Site Reliability Engineer will mentor teams on observability practices, architect systems for growth, automate developer tasks, and debug production issues.