Top Senior Software Engineer Jobs in Boston, MA

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

Develop scalable C++ software that defines and enforces endpoint behavior across millions of managed Windows endpoints. Responsibilities include implementing features, improving platform performance, shipping production code, designing new systems, writing architecture documents, defining subsystem contracts, and collaborating with server, UI, product, and design teams. The role requires deep Windows systems and kernel-driver expertise, with preferred experience in WHQL, minifilter or WFP drivers, macOS Endpoint Security, and Linux kernel development.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.

Build and ship production software for Toast’s retail platform, partnering with engineering, product, and customers. Responsibilities include identifying opportunities, designing and prototyping end-to-end solutions, making foundational technical decisions, incorporating customer feedback, tracking industry trends, and deploying AI-powered experiences. The role supports large grocery and convenience-store customers and may involve visiting stores to understand operator workflows.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Build and scale reusable React and TypeScript UI components, design-system foundations, accessibility patterns, tooling, and frontend infrastructure. Lead architecture discussions, define component APIs, improve Storybook and testing workflows, drive adoption through documentation and migration guidance, and partner with design, accessibility, platform, and application teams. Mentor engineers, influence frontend standards, and solve ambiguous technical challenges while balancing scalability and maintainability.

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

Build and own full-stack services and APIs enabling businesses to offer and manage 401(k) plans. Design scalable features, evolve system architecture, establish engineering best practices, collaborate with product, design, compliance, and operations, debug production issues, and improve reliability, observability, and operational tooling. The role requires end-to-end system ownership, production support, and cross-team technical influence.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Design, develop, and optimize scalable backend services, APIs, middleware, and core platform components. Build hospital-system integrations, improve performance for high-volume medical data, maintain monitoring and observability, and automate deployment pipelines and infrastructure. Support live customer integrations, implement enhancements, and contribute to system architecture, reliability, and cost efficiency across cloud-native, containerized environments.

Design and implement scalable, secure, high-performance software systems and public-facing APIs. Lead system design, apply agentic coding workflows, collaborate with Product and Data Science, mentor engineers, and own initiatives improving efficiency, performance, and customer satisfaction. The role requires extensive experience with highly available distributed systems, API versioning and rate limiting, modern backend and frontend technologies, AWS, and Domain-Driven Design.

Design, build, and own backend services, APIs, and integrations supporting customer care workflows. The role connects Salesforce, billing, identity verification, document management, and iPaaS platforms; requires automated testing, code reviews, incident response, performance monitoring, and cross-functional collaboration. The engineer will also apply AI tools and may build production LLM solutions.

Designs, builds, and ships scalable full-stack features for Toast’s restaurant and retail technology platform. Responsibilities include developing resilient backend services and APIs, responsive web interfaces, distributed systems, and high-throughput enterprise solutions using Java, Kotlin, React, and TypeScript. The role requires solving ambiguous technical problems, ensuring system reliability and observability, applying engineering best practices, collaborating cross-functionally, and mentoring engineers.

Lead development of real-time C/C++ software for RF sensor systems, including CUDA-accelerated signal processing, embedded and distributed computing, multi-core CPU/GPU optimization, open architecture compliance, testing, documentation, technical reviews, customer briefings, proposal support, and cross-functional integration. The role requires Secret clearance eligibility, substantial software engineering experience, and approximately 20% travel for integration and field demonstrations.

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Build and maintain metadata capture, transformation, and delivery pipelines for a data management platform. Develop backend services with Python, Java, and Node.js; integrate relational databases and REST APIs; implement Terraform infrastructure; and support GitLab CI/CD. Optimize distributed systems for performance, reliability, scalability, and secure asynchronous processing. Write automated tests, troubleshoot services using operational metrics, and contribute to AI/ML metadata pipelines, search, data lake, and LLM-powered initiatives.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Design, develop, and maintain full-stack web applications hosted in the cloud. Implement front-end UIs, build backend APIs interacting with cloud services, containerize apps, collaborate with infrastructure engineers, follow Agile and DevSecOps practices, and contribute to extensible, object-oriented codebases.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Leads the design, development, and delivery of complex software systems. Drives architectural decisions and technical strategy, mentors engineers, conducts code reviews, partners with product stakeholders, and improves system performance, scalability, security, and compliance. Owns technical initiatives from design through delivery while maintaining high engineering standards.

Conduct collaborative research, data analysis, and software engineering for mission autonomy systems involving persistent world modeling, predictive simulation, and adaptive planning. Develop technical proposal content, document research findings, contribute to publications, and support technical and program objectives. The role requires MATLAB, C++, Python, AI/ML and autonomy software library experience, along with simulation and deployment environment expertise. An active U.S. Department of Defense security clearance must be obtained and maintained.