Top Software Engineer Jobs in Boston, MA

Design, build and modernize cloud-native services and scalable APIs in an agile team. Collaborate with product and engineers, prioritize user needs, ensure quality via test- and behavior-driven development, and improve performance, reliability, and efficiency.

Build and maintain high-performance backend services in Go for a low-latency, high-throughput trading exchange. Design distributed systems, optimize performance, improve observability, and collaborate across Product, Data, and Ops to ensure resiliency and scalability.

Design, develop, and maintain scalable Salesforce solutions using Apex and Lightning (LWC/Aura). Build integrations (REST/SOAP, Platform Events, Workato), implement automation (Flows, CPQ, Revenue Cloud), enforce security and CI/CD practices, mentor junior engineers, and partner with product and stakeholders to deliver CRM capabilities and user training.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Develop and maintain Python-based software for automating hardware tests, integrate results with manufacturing systems, build scalable test infrastructure and CI/CD pipelines, create monitoring/visualization (e.g., Grafana), and collaborate with hardware, systems, and QA teams to ensure reliable aircraft component validation.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

As a Software Engineer III, you will design, build, and enhance high-complexity components, mentor team members, and collaborate on projects, ensuring high-quality code and customer-centric solutions.

The Software Engineer III will design and operate scalable distributed systems, develop APIs and integrations, and lead complex initiatives while mentoring other engineers.

The Software Engineer II at Chewy develops cloud-based services, manages service quality, collaborates on architectural standards, and integrates technologies to support order fulfillment processes.

Build developer productivity tools and frontend frameworks for a large React application. Own features end-to-end, design and implement tooling for development, testing, and packaging, and collaborate with PMs, designers, and engineers to scale product and engineering practices.

The Software Engineer will enhance developer experience at Benchling by building production release tooling, improve workflows, and collaborate with teams to scale processes. Responsibilities include developing efficient development tools and championing engineering patterns.

Lead the transition to an AI-first company by managing a high-density engineering team, overseeing architecture, and driving product development for enterprise customers.

The Senior Software Engineer collaborates on design, development, and implementation of software solutions, ensuring quality and adherence to standards while leading technical initiatives within a team.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Design and implement backend systems for business operations at WHOOP, ensuring reliability, performance, and scalability. Collaborate with stakeholders and mentor engineers.

As a Software Engineer II, you will develop backend services using Java and AWS technologies, collaborating with cross-functional teams to build scalable healthcare solutions.

The Lead Software Engineer will develop advanced technologies, design software solutions, and collaborate on multi-disciplinary teams to solve national security challenges.

Develop and scale microservice-based software in a DevSecOps environment to transition mission planning and AI-enabled systems from R&D to production. Collaborate with scientists and engineers to convert models into production-grade APIs, support deployments, and contribute to system reliability and integration with AI/data tools.