Top Software Engineer Jobs in Boston, MA

Design, build, and deliver scalable backend services powering WHOOP’s member-facing fitness, sleep, recovery, and integration experiences. Collaborate with engineering, product, design, data science, and performance science teams; translate requirements into technical plans; improve reliability, performance, testing, monitoring, and observability; and contribute through code reviews, documentation, knowledge sharing, and mentoring.

Build and maintain performant, responsive, mobile-first web applications using Next.js, React, and Tailwind CSS. Translate product goals into polished member-facing experiences, prototype and ship features with AI-assisted workflows, integrate RESTful APIs, and collaborate with product, design, and backend teams. Establish frontend best practices for architecture, accessibility, performance, and maintainability while contributing to UX decisions and navigating ambiguous problems.

Develop and maintain scalable backend systems, APIs, and microservices supporting WHOOP’s platform and member experience. Collaborate cross-functionally to deliver features, improve reliability and performance, implement secure coding practices, and strengthen engineering standards. The role may align with Product Security or Application Infrastructure, involving cloud infrastructure, developer enablement, observability, and data privacy.

Develop, test, and deploy scalable internal software, APIs, data pipelines, automations, and integrations supporting business operations. Collaborate with Finance, Supply Chain, Manufacturing, Quality, Logistics, Membership Services, and other stakeholders to translate business needs into technical solutions. Maintain systems including NetSuite, Salesforce, Stripe, and Boomi, while improving reliability, security, and performance. Contribute to engineering best practices and mentor engineers across teams.

Develop and optimize scalable backend services, APIs, and infrastructure supporting acquisition funnels, e-commerce, membership growth, and experimentation. Write tested Java code, collaborate cross-functionally, contribute to architecture and code reviews, and deliver sprint commitments. Partner with data scientists and analytics engineers to measure performance and support growth initiatives.

Develop and maintain backend services and APIs using Java, Kafka, PostgreSQL, and AWS. Collaborate with product, design, data science, and engineering teams to deliver scalable features. Write tested code, participate in reviews, monitor production systems, troubleshoot issues, document solutions, and contribute to reliability and performance improvements.

Develop and integrate platform software for audio technology products using Linux, RTOS, C/C++, Python, DSP, and middleware. Support product delivery, coordinate cross-functional teams, resolve integration issues, and build scalable software components. Collaborate with systems, QA, and security teams while maintaining integration documentation, matrices, and progress reports. The role also requires audio technology experience involving DSP pipelines, latency-sensitive systems, or room correction algorithms.

Designs, builds, tests, and optimizes scalable control-plane and data-plane network services. Develops APIs, improves performance, monitoring, reliability, and customer experience, while supporting existing products and establishing engineering best practices. Collaborates across teams on API contracts, cloud-native systems, and mission-critical software. Mentors engineers and contributes to automation, testing, deployment, and production operations.

Design, develop, and optimize high-performance network datapath software for cloud infrastructure. Build packet-processing, routing, forwarding, observability, and hardware-accelerated networking systems across Linux hosts, kernels, user space, and NICs. Investigate production performance and reliability issues, create testing and benchmarking frameworks, author technical designs, collaborate across infrastructure teams, and mentor engineers.

Develop and maintain scalable cloud network control-plane software, including APIs, services, tools, and customer-facing products. Implement, test, optimize, and support high-performance distributed systems while improving reliability, monitoring, development processes, and architecture. Collaborate across networking teams to establish API contracts and build next-generation products using Go, Kubernetes, Docker, Kafka, gRPC, and related cloud technologies.

Lead hands-on development of scalable full-stack web applications and core platform services for a clinical data and analytics platform. Influence architecture, engineering standards, security, reliability, and maintainability; mentor engineers; resolve distributed-system production issues; and collaborate across product and QA. Integrate LLMs, AI-assisted workflows, and agentic patterns into secure .NET and Python enterprise systems while supporting documentation, compliance, and the full software development lifecycle.

Participate in Fidelity’s 10-week Leap Program to build scalable applications and features, develop software across the full lifecycle, write and test code, deploy through automated pipelines, and responsibly use AI tools. Collaborate with engineering teams on production projects supporting millions of financial-services customers while receiving mentorship and career development.

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Develop and maintain full-stack features for a SaaS platform supporting clinical trial workflows. Responsibilities include Python-based application development, frontend collaboration, architecture, testing, code review, refactoring, reliability, data integrity, and regulatory compliance. The engineer will collaborate with product, design, machine learning, infrastructure, clinical, QA, and regulatory teams while contributing to a distributed engineering organization.

Develop and support applications for internal and external users, focusing on system enhancements, process changes, and collaborating with vendors and teams.

Design, develop, test, and maintain C++ and C# desktop applications using WPF for semiconductor equipment. Build multithreaded and concurrent software, integrate applications with hardware and automation systems, optimize performance, troubleshoot complex issues, conduct code reviews, create technical documentation, and support deployments and customer issue resolution.

Build and deploy clean, tested, efficient full-stack software for dealer inventory products. Develop across the technical stack, support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers from technical design through testing and performance measurement. The role requires React, JavaScript, Java, SQL, distributed systems, microservices, and strong data structures and algorithms knowledge.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Develop scalable Java and AWS applications, customer-facing features, automation, observability, and self-service engineering solutions. Responsibilities include system architecture, prototyping, code reviews, CI/CD and infrastructure improvements, monitoring, production troubleshooting, Scrum participation, on-call support, and mentoring junior engineers.

Build developer-experience tooling and frameworks for efficient development, testing, packaging, and rapid production releases. Lead release tooling design, establish quality feedback loops, improve engineering workflows through qualitative and quantitative feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers to enhance developer productivity and satisfaction while contributing to team and process growth.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Designs, develops, maintains, and safely releases highly scaled .NET services and client components across iOS, macOS, Linux, Windows, and web platforms. Collaborates across engineering teams to build customer-focused products serving millions of users, applies modern AI tools, and resolves urgent customer issues. The role requires coding expertise, technical collaboration, and completion of Microsoft Cloud background screening.

Develop and operate backend systems supporting post-transaction processing for Affirm Card. Break down projects, write tested and extensible code, collaborate with product and engineering teams, monitor system health, troubleshoot issues, participate in on-call support, and contribute to code reviews and team development.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

Develop and optimize high-throughput C++ algorithms for remote sensor data exploitation, image analysis, detection, and tracking. Design software architectures, implement new algorithms, contribute to shared tools, and collaborate within an Agile team. The role requires strong object-oriented programming, database experience, Linux proficiency, multithreading and concurrency skills, data-structure knowledge, and optimization expertise.