Top Hybrid Software Engineer Jobs in Boston, MA

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.

Architects and develops Guidewire PolicyCenter solutions, integrations, configurations, and Gosu applications. Leads technical design, cloud deployment, API and event-driven architecture, CI/CD, observability, testing, troubleshooting, and platform modernization. Collaborates with architects, stakeholders, DevOps, and engineering teams to establish technical standards, document solutions, and deliver scalable insurance technology solutions using Guidewire Cloud Platform and modern cloud-native technologies.

Lead managed services integration and middleware delivery: supervise and mentor team members, ensure service quality and incident resolution, drive continuous improvement, design client-specific integration solutions, manage projects and stakeholder coordination, and maintain data integrity and API/connection point troubleshooting.

Leads software engineering teams and a portfolio of technology projects involving distributed microservices, full-stack systems, and cloud-based solutions. Partners with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology transformation while addressing regulatory needs. The role requires people management, software engineering, cloud computing, modern programming languages, databases, container orchestration, and Agile practices.

Develop and maintain Kotlin-based native Android features for personalized healthcare experiences. Integrate mobile applications with backend services and APIs, apply modern architecture patterns, improve shared libraries and build tooling, optimize performance and reliability, write secure tested code, participate in reviews, and document technical decisions. Collaborate with product, backend, and infrastructure teams while using AI-assisted development workflows.

Provides hands-on technical leadership for scalable full-stack web applications and core platform services. Designs architecture, develops and deploys secure software, resolves distributed-system issues, mentors engineers, and collaborates across product and QA teams. Integrates LLMs, AI-assisted workflows, and agentic capabilities into .NET and Python systems while applying responsible AI practices. Contributes to technical documentation, quality standards, regulatory compliance, and the full software development lifecycle.

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.

Develop, deploy, document, and support full-stack web applications, APIs, integrations, and automation solutions. Build Vue.js and JavaScript interfaces, Python backend services, RESTful APIs, relational database integrations, and AWS-hosted applications. Collaborate across product, QA, infrastructure, security, and business teams in an Agile environment. Troubleshoot production issues, follow secure development practices, and apply AI, LLM, and workflow automation concepts to improve business processes.

Software engineering interns contribute to production features across Kensho teams, including machine-learning applications, APIs, services, platform abstractions, observability, deployment, and data ingestion systems. Interns participate in code reviews, production deployments, infrastructure as code, testing, documentation, and continuous learning while collaborating with experienced engineers. The role requires algorithm and data-structure knowledge, at least one technical area of expertise, adaptability, and practical projects or open-source experience.

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.