Top Hybrid Software Engineer Jobs in Boston, MA

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.

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

Lead and grow a senior SaaS engineering team; hire, mentor, and set engineering standards. Drive cross-functional delivery with product and design, ensure testing, observability, and multicloud deployments, and architect systems that integrate generative/agentic AI while cultivating an AI-first culture.

Develop and operate scalable, resilient Autoship platform services and applications using frontend and backend technologies. Responsibilities include designing distributed systems, building microservices and APIs, deploying prototypes, debugging, code reviews, testing, DevOps practices, and collaborating across teams to improve automation and operational processes.

Own the architecture and technical direction of WHOOP’s Android connectivity layer, including BLE transport, history synchronization, firmware delivery, reliability, telemetry, and modular codebases. Collaborate with hardware, firmware, backend, and iOS teams; diagnose device-specific issues; improve testing and code quality; support releases and incident response; mentor engineers; and define modern Kotlin and Android engineering practices.

Lead software engineering projects and developers building distributed microservices, full-stack systems, cloud-based solutions, and generative AI conversational experiences. Collaborate with product managers, address regulatory needs, evaluate and write code, mentor engineers, and apply technologies including Python, Go, Node.js, AWS, Docker, Kubernetes, SQL, and NoSQL databases.

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.

Part-time internship to learn and configure ServiceNow through training and mentorship. Work on real customer projects, write and test scripts, attend meetings and SCRUM, troubleshoot configurations, and pursue certifications.

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.

Develop software solutions for Assurance client engagements, participating in architecture, design, coding, testing, maintenance, and code reviews. Collaborate with project teams to create scalable systems, apply computer science and engineering principles, interpret data, and provide technical insights. The role emphasizes learning, innovation, client service, teamwork, adaptability, and using AI and emerging technologies to improve financial reporting and decision-making processes.