Top Engineering Jobs in Boston, MA

Work on production-scale observability and security systems across backend, frontend, infrastructure, and data engineering. Design, build, and optimize distributed, cloud-native services; tackle performance, reliability, and scalability challenges; and deliver end-to-end technical projects while collaborating with mentors and peers.

As a Senior Software Engineer specializing in Distributed Systems, you'll design and implement scalable platforms, optimize data pipelines for durability and low latency, and impactfully contribute to service ownership.

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.

Lead engineering for Cloud Observability across multiple cloud providers, managing ~40 engineers via Engineering Managers. Shape roadmap with product leadership, drive AI adoption, navigate cross-team dependencies, build and retain talent in NYC/Boston/Paris, mentor EMs, and participate in on-call rotations.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Build and maintain Bazel-based build, test, and packaging tools for a large monorepo. Improve CI performance and cost efficiency, run complex migrations, keep pipelines reliable, and contribute upstream to the Bazel ecosystem. Own projects end-to-end and collaborate with developers to improve tool usability and developer productivity.

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.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

The Staff Software Engineer will lead architectural design and delivery of critical systems, ensuring performance and efficiency at scale, while mentoring others in the engineering community.