Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

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 Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

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

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

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

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.

Lead the Cloud Optimization Engineering team, influence engineering decisions around cost, and ensure efficient scaling of the SaaS platform.

Design and govern the Salesforce ecosystem: architect scalable solutions, data and security models, integrations, CI/CD and DevOps governance, mentor developers, drive roadmap and stakeholder alignment, and enable adoption through training and support.

The Site Reliability Engineer manages AWS Kubernetes infrastructure, ensuring operational excellence, security, and scalability, while implementing reliability improvements and best practices.

Design and scale high-traffic services, resolve production incidents, deploy features (using feature flags), plan team projects, and improve service performance and architecture at large scale.

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.