Top Senior Level Software Engineer Jobs in Boston, MA

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.

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, develop, deploy, and maintain scalable customer-facing software, APIs, workflows, and data-driven services. Define technical requirements, create implementation plans, automate and test releases, review code and architecture, and drive technical decisions. The role includes mentoring engineers, identifying technical gaps, maintaining engineering excellence, and serving as a product-domain expert while collaborating with product managers, data scientists, team leads, and managers.

Leads the architecture, development, and evolution of Pfizer’s global Medical Insights platform. Translates regional and business needs into scalable technical requirements, sequences roadmap work, coordinates infrastructure and technology partners, and evaluates new data sources, analytics methods, and AI approaches. Partners with stakeholders to deliver platform value, guide technical decisions, and support change management. Requires strong cross-functional influence, technical communication, and experience building data or analytics platforms in pharmaceutical, life sciences, or technology environments.

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.

Designs, develops, integrates, tests, and demonstrates autonomy algorithms and software for unmanned platforms and mission systems. Provides technical leadership and mentoring across the software lifecycle, develops backend-focused algorithmic applications, supports system and system-of-systems architecture, and collaborates with research scientists to transition mathematical concepts into production software. Work includes mission planning, automated control, DevSecOps, CI/CD, code quality, Agile execution, and team leadership.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Build and improve end-to-end web and mobile product features for MedTech sales teams. Collaborate with customers, product managers, designers, and engineers; use data to optimize performance and identify enhancements; explore scalable technologies; contribute to engineering processes and culture; and mentor developing engineers. The role emphasizes full-stack development across multiple technologies and agentic AI development practices.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.