Top Senior Software Engineer Jobs in Boston, MA

Lead Agile software teams developing secure full-stack web applications for defense and national security customers. Responsibilities include sprint planning, technical leadership, customer requirements gathering, frontend development with React, backend API development with Python, cloud deployment, containerization with Docker and Kubernetes, and collaboration on scalable, maintainable software systems using DevSecOps practices.

Lead the design and development of ETL solutions for regulatory risk compliance at PNC, requiring advanced programming skills and collaboration on data-intensive applications.

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.

Design, deploy, and optimize Philo’s distributed video streaming infrastructure, including ingest, transcoding, packaging, delivery, RESTful services, analytics pipelines, DRM, and ad insertion. Improve platform reliability, performance, latency, security, video quality, and cost efficiency. Collaborate with content partners and internal video, advertising, client, and data teams while supporting streaming quality across new platforms. The role also involves architectural ownership, cloud operations, and mentoring.

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.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Designs and operates scalable managed database infrastructure and distributed control-plane systems. The role owns architecture, performance, resiliency, automated failover, backups, recovery, observability, and production reliability for PostgreSQL and MySQL services. It also leads complex cross-team technical initiatives, mentors engineers, participates in on-call rotations, and supports high-concurrency data and AI-adjacent workloads.

Build internal software products, automations, workflows, and data-flow improvements that enhance business operations. Translate organizational needs into working tools, drive adoption, advise leadership on engineering practices, and support cross-functional change. Approximately 80% of the role involves hands-on software development, with the remainder focused on internal consulting and strategic guidance.

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Develop geometry-processing and simulation algorithms for engineering applications, build services for 2D/3D CAD, CAE, and CAM data, create rendering modules, curate datasets, optimize machine learning post-training workflows, and contribute to engineering domain-specific languages. The role requires strong Python development, computational design or geometry-processing experience, machine learning expertise, and familiarity with CAD/CAM/CAE tools, LLM post-training, and compilers or DSLs.

Design and implement cloud-native software and managed services on Kubernetes. Own technical and product innovation, analyze systems, recommend solutions, and enable customers to deploy and integrate cloud-native services. Collaborate with engineering teams in an Agile environment throughout the product lifecycle, including building, testing, deployment, and iteration.

Leads software engineering teams developing complex storage products and platforms. Responsibilities include architecture, coding, testing, integration, debugging, design review, partner management, technology innovation, quality improvement, and mentoring. Requires strong C/C++ systems programming, operating systems knowledge, multithreaded and clustered-environment debugging, and experience with storage, distributed file systems, high-availability clusters, or performance optimization.

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.

Build and improve software, platforms, and operational frameworks for incident response, on-call readiness, post-mortem learning, and engineering resilience. Lead incident-process design, facilitate reviews, mentor engineers, train on-callers, and drive cross-functional reliability initiatives. The role requires experience with distributed systems, Kubernetes, incident analysis, on-call operations, and software development primarily in Go and Python, with some TypeScript.

Design, build, test, deploy, and support production-grade backend services, APIs, and cloud-enabled platform capabilities for wealth custody and clearing. Collaborate with product, architecture, risk, and operations to ensure secure, scalable, observable, and resilient integrations and workflows. Participate in Agile delivery, troubleshoot production issues, and mentor junior engineers.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Lead architecture and engineering for a new Provider Onboarding team. Build scalable, database-backed systems and custom tools supporting pricing, payments, client panels, and forms. Establish engineering practices, mentor senior engineers, guide cross-functional delivery, and oversee the full software development lifecycle from planning through post-launch maintenance. The role requires healthcare systems experience and ownership of complex, reliable products.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Leads architecture and development of scalable, high-availability software systems supporting millions of endpoints. Owns complex multi-team initiatives, makes technical decisions, mentors engineers, establishes engineering standards, and improves software quality. Requires deep Java development, distributed systems, API design, database engineering, system scalability, testing, and AI-assisted development experience.

Develop and operate Java and Kotlin services for a large-scale cloud platform. Responsibilities include designing, testing, deploying, and improving software; diagnosing production reliability and performance issues; addressing scalability bottlenecks; enhancing observability; participating in incident response; and contributing to architecture, code reviews, and operational improvements.

Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.