Top Staff Software Engineer Jobs in Boston, MA

The Principal Software Engineer will develop and maintain eCommerce platforms, lead teams, set technology strategy, and ensure software scalability and resilience.

As a Staff Software Engineer, you'll lead the design and implementation of large-scale solutions, mentor junior engineers, and drive consensus on engineering challenges.

Lead the development of innovative display ads technologies, mentor engineers, and ensure system performance and reliability in a fast-paced environment.

Design, build, and operate scalable, reliable ML inference systems, backend services, and data pipelines for health features. Translate research prototypes to production, ensure monitoring/validation within a quality-managed SaMD environment, provide technical leadership, and participate in on-call rotations to maintain uptime and reliability.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.

Lead design and implementation of developer tooling (SDKs, CLI, workflows), set API governance and technical standards, advocate developer experience across product teams, run community events and livestreams, and deliver high-impact cross-team SDK and platform initiatives to improve reliability, performance, and developer adoption.

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.

Lead the Practice Hub team as a Staff Software Engineer, driving architecture, design, and implementation of scalable software services for veterinary clinics. Oversee project delivery, system design, and mentor engineers using a broad set of technologies while applying DevOps principles to maintain high-quality software.

Join the MongoDB Server Query Optimization team to build a distributed open-source query optimizer, focusing on enhancing query performance and robustness. Responsibilities include innovation in flexible schema databases, mentoring team members, and contributing to the technical roadmap based on extensive experience in the database domain.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Design and maintain backend services for WHOOP's healthcare platform, integrating advanced data insights and collaborating on feature development with cross-functional teams.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

As a Staff Software Engineer Tech Lead, you will lead technical efforts for the POS app, mentor engineers, solve strategic challenges, and enhance development with AI tools.

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

The Staff Software Engineer will lead technical projects for the Patient Matching team, focusing on scalable systems and API design. Responsibilities include system architecture, mentoring engineers, and collaborating with various stakeholders to enhance patient experiences in mental healthcare.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

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.

The Senior Staff Software Engineer will lead major projects, drive architectural innovation, interface with customers for solutions, and mentor engineers. Experience in software engineering and a strong grasp of AI, cloud scale, and evolving technologies is essential.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.

Build and lead development of the ESPM platform using Ruby on Rails. Define technical vision, design scalable data pipelines and architectures for petabyte-scale ingestion, implement features across the stack, collaborate with security researchers, mentor engineers, and ensure high-quality, tested deliveries.