Top Senior Level Software Engineer Jobs in Boston, MA

Leads a software engineering portfolio and people-management team building cloud-based, full-stack risk technology solutions. Oversees distributed microservices, regulatory technology, AI-powered risk management tools, and collaboration with product managers. Mentors engineers, evaluates code, promotes modern technology practices, and may contribute hands-on development using multiple programming languages, databases, containers, Kubernetes, and cloud services.

Lead and grow a full-stack engineering team delivering cloud-native, microservices-based risk management solutions. Collaborate with product managers, mentor engineers, oversee architecture and delivery, and occasionally contribute code. Drive adoption of modern cloud, container, and AI/ML technologies to build scalable, compliant systems.

Leads engineering teams supporting Liberty Mutual’s Guidewire ClaimCenter application and database platforms. Responsibilities include people leadership, delivery accountability, technical guidance, platform migration to Guidewire SaaS, SRE practices, technical debt reduction, risk management, Agile/SAFe planning, hiring, vendor coordination, performance management, and financial planning. The role partners with architects, product owners, technology teams, and business stakeholders to maintain stable, scalable platforms supporting claims transformation initiatives.

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.

Design and deliver developer tooling, frameworks, reusable templates, AI-assisted development infrastructure, authentication and identity platforms, and cloud-native services. Build and operate Java and AWS systems using Spring Boot and Kubernetes, establish engineering standards and guardrails, improve reliability and performance, and lead complex technical projects. Partner across teams to drive adoption, alignment, and measurable engineering productivity outcomes.

Develop end-to-end full-stack solutions using front-end and back-end technologies, optimize existing products, and lead key Customer Hub initiatives. The engineer will make technical decisions, evaluate trade-offs, deploy reliable and tested software, mentor teammates, conduct code reviews, and drive projects in an agile environment. The role focuses on personalized ecommerce shopper experiences and expects effective, responsible use of AI in software development.

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 operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Lead the design and implementation of scalable, reliable backend systems powering WHOOP’s member experiences. Drive technical planning for complex initiatives, establish engineering standards, deliver platform capabilities, and mentor engineers. Collaborate with product, design, data science, and performance science teams while balancing technical quality, business priorities, observability, and long-term maintainability.

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.