Top Hybrid Senior Level Software Engineer Jobs in Boston, MA

The Senior Software Engineer will lead the development of backend services and APIs, design system architecture, and collaborate closely with teams to evolve the Enterprise platform.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

As a Senior Software Engineer specializing in Distributed Systems, you'll design and implement scalable platforms, optimize data pipelines for durability and low latency, and impactfully contribute to service ownership.

Design, implement, test, and deploy full-stack features across a large cloud-native platform. Collaborate with product, design, and TechOps, produce documentation, propose improvements, and maintain high code quality and testing practices.

Lead design and delivery of scalable budgeting and pacing infrastructure. Build and maintain high-performance Java production systems, collaborate with engineering and product teams, apply data-driven decision making, and ensure reliability, observability, and continuous improvement of distributed systems.

Lead Guidewire system implementations and upgrades (Digital Portals), design and deliver Guidewire solutions, manage large projects, engage senior clients, provide strategic input, mentor teams, and ensure operational excellence and client satisfaction.

As a Senior UI Software Engineer, you'll lead front-end development, design user experiences, mentor junior engineers, and integrate AI capabilities into products.

Design, develop, test, deploy, and support full-stack web applications, RESTful APIs, integrations and automation using Vue.js, JavaScript, Python, PHP, relational databases, Retool and AWS. Build enterprise integrations (Boomi/MuleSoft or comparable iPaaS), leverage AI/LLMs and low-code tools, participate in Agile processes, troubleshoot production issues, ensure security and scalability, and mentor junior developers.

Lead and grow an engineering team (up to 12), own kanban-based delivery, translate business priorities into measurable outcomes, recruit and develop engineers, model AI-native practices, partner with Principal Engineer on technical direction, and maintain clarity and accountability across stakeholders.

Lead the Purchase team, mentor engineers, drive AI-native practices, manage product development, and define consumer-facing AI solutions for CarGurus.