Top Hybrid DevOps & Platform Engineering Jobs in Boston, MA

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

The Senior DevOps Engineer will design, build, and operate cloud infrastructure, drive automation, and support developer workflows on AWS while mentoring and managing documentation, participating in incidents, and promoting agility in practices.

The AppOps Engineer II provides backend support for the Access Compliance application, troubleshooting issues and collaborating with teams to maintain performance and reliability.

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

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.

The Senior IT Support Engineer will bridge 2nd and 3rd line support, mentor junior staff, manage device fleets, and build self-service tools.

The Cloud Engineer role involves developing configurations in YAML and JSON, building monitoring solutions, maintaining software applications, and writing custom scripts for various environments.

The role involves designing and managing secure cloud infrastructure on AWS, automating security practices, and collaborating with various teams to improve developer workflows and ensure compliance. Key tasks include IAM management, implementing automation tools, and participating in incident response.

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.

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.