Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

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.

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.

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

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

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.

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

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 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.

Design, build, and operate large-scale distributed data systems and infrastructure to support engineering teams. Write high-quality code, provision infrastructure, maintain production systems, and collaborate cross-functionally to enable data processing, storage, and governance at scale.

Lead teams to deliver AWS-based solution architecture, manage cloud migration initiatives, and innovate processes while engaging senior clients. Foster team growth and operational excellence.