Top Senior Level Software Engineer Jobs in Boston, MA

Leads multiple technology projects and engineering teams building large-scale, cloud-native full-stack systems. Provides architectural and technical leadership, drives platform roadmaps, develops distributed microservices, mentors engineers, establishes coding standards, and improves system reliability and observability. The role partners with product leaders and architects to deliver secure, high-performance solutions using modern programming languages, cloud platforms, databases, containers, and development practices.

Leads full-stack software engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, managing engineering talent, driving architectural and roadmap decisions, delivering distributed microservices and full-stack systems, and aligning engineering execution with enterprise goals. The role involves AWS and other cloud technologies, modern programming languages, databases, containers, Agile delivery, AI-enabled development, and regulatory technology solutions.

Designs and implements integrations and bespoke technical solutions for enterprise customers using Akeneo. Responsibilities include assessing client environments, architecting product catalogs and data flows, developing prototypes and full-stack code, configuring SaaS deployments, creating technical documentation, leading workshops and training, and guiding customers through go-live. The role partners with clients and internal R&D, influences the product roadmap, manages complex technical workstreams, and requires approximately 20–30% travel.

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.

Leads multiple engineering teams building internal platforms, web applications, AI-powered workflows, integrations, data pipelines, and automation. Sets technical direction, oversees architecture and delivery, partners with product and business stakeholders, and develops engineering talent. The role emphasizes front-end development with TypeScript and React, CMS integrations, internationalization and localization, scalable SaaS systems, AI-enabled marketing workflows, and operational productivity improvements.

Build and modernize internal full-stack applications and developer tools that improve software development workflows and productivity. Responsibilities include system design, DevOps, CI/CD enablement, technology integration, observability, secure authentication, modernization of legacy tools, code quality, collaboration, and mentoring.

Own the architecture, technical direction, quality, and long-term support of SharkNinja’s consumer mobile application. Build hands-on with React Native, Expo, and TypeScript; design connected-device experiences, pairing flows, protocols, and real-time synchronization; and support BLE and WiFi reliability. Establish reusable patterns, libraries, testing, and release practices, lead architectural research, mentor engineers, collaborate with global teams, and onboard new products to the app.

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.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, microservices, APIs, data pipelines, predictive models, and GenAI workflows. Collaborates with data scientists, engineers, product managers, and stakeholders to build, test, maintain, and support applications throughout their lifecycle. Responsibilities include API and data architecture, automated testing, technical debt reduction, backlog refinement, observability, and engineering excellence.

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.

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.