Top Software Engineer Jobs in Boston, MA

Design, develop, test, deploy, and maintain full-stack applications, REST APIs, user interfaces, backend services, and AI-powered solutions. Collaborate in Agile teams, participate in technical design and code reviews, troubleshoot production issues, optimize performance, support releases, and follow secure coding practices. The role requires JavaScript, Node.js, Python, RESTful APIs, microservices, CI/CD, automated testing, Git, NoSQL databases, and event-streaming technologies.

Investigate and resolve complex customer issues across application and infrastructure layers, ship tested production fixes, and improve platform performance, reliability, observability, scalability, and cost-efficiency. Participate in supported incident response and on-call rotations while collaborating with senior engineers and cross-functional teams. Use production data, logs, metrics, dashboards, and AI coding tools to diagnose root causes and deliver maintainable architectural improvements.

Leads complex, enterprise-scale software engineering initiatives for payment and banking technology. Designs, develops, tests, debugs, documents, and reviews Java Spring Boot microservices and cloud-based solutions. Establishes engineering standards, resolves complex technical issues, mentors team members, and collaborates with technical experts and stakeholders. The role requires expertise in MongoDB, Kubernetes, OpenShift, REST architectures, and shared services, with payments and ISO 20022 knowledge preferred.

Build and operate full-stack Flows product features, including the React canvas, analytics, version history, management surfaces, APIs, and Python services. Improve performance and reliability for large flows and accounts, create validation and recovery guardrails, collaborate with platform, product, and design teams, and contribute to technical leadership through reviews, mentorship, and operational excellence.

Develop and maintain enterprise software applications, integrations, APIs, automated workflows, and data-processing tools. Collaborate with business, IT, and cybersecurity stakeholders to translate operational needs into technical solutions. Manage roadmaps and backlogs, deploy containerized applications through CI/CD pipelines, troubleshoot existing systems, and improve reliability and automation. The role also supports enterprise reporting, data integration, business applications, and AI-assisted software development.

Develop and maintain backend services and APIs supporting WHOOP member-facing features. Collaborate with product, design, data science, and engineering teams to deliver scalable solutions. Write tested code, participate in reviews, monitor production systems, troubleshoot issues, document solutions, and contribute to reliable, high-performing distributed systems using Java, Kafka, PostgreSQL, and AWS.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Build and maintain full-stack promotions systems, including React.js interfaces, backend services, APIs, and internal tools. Collaborate with product managers, designers, and engineers to deliver incremental improvements. Write tested, maintainable code; debug production issues; improve system reliability, security, performance, and observability; participate in reviews and design discussions; and document domain knowledge while supporting customer-focused experiences.

Develop, test, debug, and deploy scalable software components and services. Apply algorithms, data structures, and design patterns while contributing to service and data architecture, DevOps, infrastructure as code, cloud services, monitoring, and deployment pipelines. Troubleshoot production issues, improve engineering practices, and participate in on-call rotations.

Build and operate backend advertising services and APIs using Node.js and TypeScript, develop server-driven ad experiences, integrate advertising partners, and ship Android features in Kotlin. Improve system performance, reliability, observability, and testing while collaborating with senior engineers, product, and media sales teams. The role supports advertising across Android, iOS, web, and live video streaming applications.

Develop and deliver complex software features using Ruby on Rails and React. Responsibilities include system design, requirements clarification, deployments, operational support, performance and security improvements, database optimization, AWS infrastructure troubleshooting, SSO integrations, monitoring, web server administration, compliance implementation, automated testing, and mentoring junior engineers.

Develop backend systems and continuous delivery platforms that help engineering teams release software independently and safely. Responsibilities include writing tested and extensible code, collaborating with stakeholders, debugging code, participating in code reviews, balancing delivery speed with reliability, and contributing to team growth. The role involves working with distributed systems and technologies including Python or Kotlin, AWS, MySQL, and Kubernetes.

Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.

Provides technical leadership for real-time, high-throughput trading and market data platforms supporting institutional public-markets workflows. Designs low-latency, event-driven, API-first architectures; establishes engineering standards; leads design reviews; promotes CI/CD, testing, observability, and responsible AI use; collaborates with product and architecture stakeholders; and mentors engineers. Requires strong Python and AWS experience, distributed-systems expertise, and familiarity with regulated financial services.

Build and scale backend product features and cloud services supporting distributed systems, AI agent workflows, high-performance APIs, and large-scale data processing. Responsibilities include designing reliable, fault-tolerant, highly available services; developing tool-calling APIs, workflow orchestration, observability, and production guardrails; meeting service-level commitments; and collaborating through code reviews and knowledge sharing.

Design and develop scalable infrastructure, data-platform capabilities, ETL/ELT pipelines, and AI-agent execution environments. Optimize Python-based predictive modeling platforms, manage Kubernetes and Docker deployments across cloud environments, improve automated testing, and support platform security, data governance, and compliance for reliable enterprise AI services.

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.

Build and operate scalable backend platforms, APIs, microservices, and event-driven integrations using Java, Spring Boot, and AWS. Responsibilities include technical design, automated testing, production troubleshooting, reliability improvements, documentation, code reviews, feature ownership, and on-call support. The role collaborates with product and engineering teams to deliver highly available services and business-critical workflows.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Build and operate scalable, customer-facing full-stack software for Samsara’s safety products. The role involves developing web, mobile, API, and platform capabilities; integrating LLMs, agentic workflows, and RAG; evaluating AI quality; and improving reliability, scalability, and operational health. The engineer collaborates with Product, Design, ML, and platform teams while owning features from concept through production.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Build and maintain scalable backend platforms for capital orchestration, transaction reconciliation, collateral movement, data pipelines, and business workflows. Collaborate with engineers, product managers, designers, analysts, and business stakeholders to design systems, write tested code, improve reliability, and deliver projects incrementally. Support production operations through monitoring, metrics, debugging, code reviews, and on-call responsibilities.

Design, analyze, and implement real-time optimization software for tracking and planning aircraft trajectories across the National Airspace System. Apply operations research, optimization, statistics, data science, and machine learning to mission-critical aviation systems. Develop algorithms using approaches such as linear programming, mixed-integer programming, constraint satisfaction, and greedy optimization. Analyze large datasets, build predictive models, collaborate across teams, and use modern LLM tools to improve development workflows and code quality.

Build software simulators modeling the National Airspace System, including aircraft trajectories, weather, air traffic control, and pilot behavior. Design simulation infrastructure and physics-based models using discrete-time simulation, statistics, algorithms, and Monte Carlo analysis. Develop mission-critical software for aviation decision-support systems and collaborate across teams in a safety-critical environment.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.