Top Software Engineer Jobs in Boston, MA

Develop and support secure, scalable full-stack and backend applications for Global Finance Tech. Responsibilities include feature development, technical design, code reviews, automated testing, CI/CD, observability, production support, incident resolution, documentation, and integrating AI-powered capabilities. The engineer collaborates with product owners, business partners, and senior engineers to translate business needs into technical solutions while contributing to architectural standards and continuous improvement.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Collaborate with product, design, analytics, and engineering teams to deliver scalable features. Integrate APIs, manage data, optimize performance, monitor reliability and crash analytics, participate in code reviews and testing, troubleshoot issues, and apply modern mobile development practices.

Design, develop, test, and troubleshoot high-performance routing protocol software focused on BGP and data center networking. Write C/C++ code, improve automation and test coverage, develop proofs of concept, resolve complex customer issues, and collaborate with global engineering teams on architecture, scalability, performance, and reliability.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Responsibilities include building user-facing features, integrating APIs, managing data and state, optimizing performance, monitoring crash analytics, participating in code reviews and testing, and troubleshooting reliability issues. The role collaborates with product, design, analytics, and engineering teams to deliver scalable, compliant mobile experiences.

Build and launch backend identity decisioning systems that validate consumer identity and satisfy KYC regulations. Collaborate with Product, Compliance, Auth, Fraud, Analytics, and engineering teams; decompose projects, write tested and extensible code, monitor system metrics, support availability and on-call operations, debug code, participate in reviews, and contribute to technical decisions and team development.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Software engineering interns contribute to production features across Kensho teams, including machine-learning applications, APIs, services, platform abstractions, observability, deployment, and data ingestion systems. Interns participate in code reviews, production deployments, infrastructure as code, testing, documentation, and continuous learning while collaborating with experienced engineers. The role requires algorithm and data-structure knowledge, at least one technical area of expertise, adaptability, and practical projects or open-source experience.

Develop and deploy customer-focused web, mobile, and backend applications across the full software stack. Design major features, contribute to architecture decisions, conduct code reviews, and ensure secure, high-quality implementations. Collaborate with stakeholders and cross-functional teams using Agile and SDLC practices. Manage version control, CI/CD, environments, and releases; maintain automated test coverage and perform root-cause analysis. Build and optimize relational data solutions using SQL Server, including complex queries, stored procedures, and performance tuning.

Design, build, deploy, and support scalable Java microservices on AWS. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Work with high-throughput data, messaging systems, distributed architectures, observability, and AI-assisted development tools. Participate in on-call support, mentor engineers, lead architectural initiatives, and deliver reliable SaaS platform features.

Design, develop, test, deploy, and iterate production Java software and agentic AI systems for wealth management technology. Apply AI-assisted development practices, contribute to architecture and design reviews, build reusable foundations, troubleshoot complex issues, and deliver scalable, resilient backend solutions. Work with Spring or Spring Boot, REST APIs, relational and NoSQL databases, cloud environments, observability tools, and adaptive-system testing while collaborating closely with a product-minded engineering squad.

Develop and operate scalable, resilient Autoship platform services and applications using frontend and backend technologies. Responsibilities include designing distributed systems, building microservices and APIs, deploying prototypes, debugging, code reviews, testing, DevOps practices, and collaborating across teams to improve automation and operational processes.

Lead complex enterprise AI deployments and go-live support engagements, build shared tooling, maintain deployment playbooks, mentor engineers, establish quality standards, capture deployment knowledge, and partner with product and engineering teams to improve customer outcomes. The role requires hands-on software engineering, customer-facing delivery, AI feature and GenAI model integration, prompt engineering, and production-quality development.

Leads complex enterprise AI deployments and go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, captures reusable deployment knowledge, establishes quality standards, and partners with product and engineering teams. The role requires hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, and executive-level communication.

Own the development and maintenance of large-scale React Native applications for iOS and Android. Lead architecture improvements, React Native upgrades, native module development, performance optimization, automated testing, CI/CD reliability, and production debugging. Collaborate with cross-functional product pods, contribute to technical discovery and architecture, mentor engineers, and raise engineering standards while delivering scalable, maintainable mobile experiences.

Develop scalable customer-facing features and internal developer-experience tools for Chewy’s e-commerce platform. Responsibilities include system architecture, automation, observability, CI/CD, monitoring, testing, code reviews, agile collaboration, mentoring junior engineers, and production troubleshooting through on-call rotations.

Support the IT Solutions Engineering team through hands-on projects involving warehouse and transportation systems. Responsibilities include troubleshooting technical issues, testing systems, documenting solutions, and collaborating with experienced engineers to improve supply chain technology platforms. The co-op provides mentorship, leadership development, and exposure to software development, systems analysis, databases, and large-scale distribution operations.

Develop and operate production microservices that deploy predictive and generative AI models for insurance claims. Build AWS-based event-driven and API integrations with claims platforms, feature pipelines, orchestration, monitoring, and evaluation frameworks. Partner with data scientists and product teams, own production support and on-call responsibilities, translate requirements into technical designs, and improve system performance, quality, and reliability.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build backend systems for ingesting, processing, and exposing health record data from EHRs and third-party platforms. Develop secure APIs, scalable data pipelines, and services that normalize and validate sensitive healthcare data. Collaborate with product, data science, and engineering teams, while contributing to code reviews, testing, documentation, privacy, security, and access control practices.

Build and maintain full-stack features supporting member acquisition, onboarding, engagement, and retention. Develop frontend applications with modern web technologies, optimize APIs and infrastructure for e-commerce and growth experiments, troubleshoot production issues, improve reliability, participate in code reviews, and collaborate with product, design, and engineering teams in an iterative environment.

Build and maintain secure, scalable full-stack clinical tools for healthcare providers and internal teams. Develop React and TypeScript interfaces backed by Java services, RESTful APIs, Postgres, Kafka, and AWS infrastructure. Translate product requirements into technical solutions, protect sensitive health data, write tested and maintainable code, participate in reviews, and collaborate with Product, Design, Clinical, Data Science, and Engineering teams.

Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.

Designs and maintains scalable backend services, APIs, data pipelines, automation, workflows, and business-system integrations. Collaborates with product, data, and internal business teams to deliver reliable technical solutions. Improves system performance, security, reliability, and maintainability; contributes to technical strategy, code reviews, and mentoring junior engineers.

Build and maintain full-stack systems supporting WHOOP’s design system and translation infrastructure. Develop reusable React and TypeScript components, backend services, RESTful APIs, localization pipelines, RTL and bidirectional text support, and accessible responsive interfaces. Collaborate with Design, Product, Platform, and Localization teams while improving CI/CD tooling, frontend architecture, design tokens, and cross-platform component libraries.