Top Hybrid Software Engineer Jobs in Boston, MA

Full Stack Engineers will design, develop and implement features for a SaaS product using React, Typescript, Django, and Python, collaborating within an agile team.

Lead the development of innovative display ads technologies, mentor engineers, and ensure system performance and reliability in a fast-paced environment.

Design, build, and operate scalable backend services and APIs for Chewy Vet Care using Java, Spring Boot, and AWS. Collaborate with product, data, clinical, and engineering teams to translate requirements, improve observability, troubleshoot production, participate in on-call rotation, and advance platform-first architecture, CI/CD, and secure engineering practices.

Lead and manage a team building Customer Care tools and insights. Drive technical decisions, architecture, delivery, observability, and cross-functional collaboration. Mentor engineers, own priorities, ensure scalable cloud-native solutions, and support production reliability.

Lead and manage a team delivering full-stack, cloud-based microservices solutions for risk management. Collaborate with product managers, mentor engineers, evaluate and occasionally write code, and drive adoption of modern tech (cloud, containers, databases, AI tooling) to meet regulatory and business needs.

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.

Design, build, and support Workday Financials solutions and integrations across finance modules. Partner with product owners and finance stakeholders to translate requirements, automate processes, troubleshoot production issues, maintain documentation, and stay current with Workday platform updates and capabilities.

As a Software Engineer II on the Data Automation team, you will design and maintain the analytics infrastructure, collaborating with teams to ensure high system performance and reliability.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Design, develop, test, and deploy mission-planning algorithms and simulations. Process and analyze raw data, validate performance with dynamic-system simulations, document results, and present findings. Collaborate with cross-functional teams to integrate fieldable algorithmic solutions into software.

Lead technical vision and execution for Battle Management C2 systems. Manage multidisciplinary Agile teams to design and deliver mission-critical web and mobile applications that fuse sensor data, provide real-time situational awareness, and support decision-making. Serve as technical liaison to government customers, drive business development and proposal capture, and ensure program schedule, budget, and delivery.

Develop and customize insurance applications on the Guidewire platform (PolicyCenter, BillingCenter, ClaimCenter). Design, code, test solutions using OOP and Guidewire technologies, manage system configurations, mentor junior staff, build client relationships, and apply firm methodologies to deliver high-quality insurance technology solutions.

Provide 3rd-level support and engineering for end-user computing and mobility across corporate and retail. Design and document setup, installation, patching, and support processes. Test and deploy solutions (Intune, Autopilot, AVD, endpoint management), troubleshoot systems, analyze data for service improvement, collaborate with architecture and supplier partners, and drive continual service delivery enhancements.

Develop and ship cloud-native full-stack features using Java/Spring Boot backend and React frontends. Design, test, deploy, and maintain secure, scalable services (PostgreSQL, Kafka, AWS, Kubernetes). Own features from design through production, participate in code reviews, troubleshoot production issues, improve CI/CD and observability, and collaborate with product and cross-functional teams. Use AI-assisted tools responsibly to increase engineering productivity.

Design and scale resilient, high-performance distributed systems and frameworks. Define architectural solutions, lead design reviews, build prototypes and production systems, embed reliability and observability, and partner with Product, Infrastructure, and Platform teams while mentoring engineers.

Lead and own the enterprise Apple endpoint platform (JAMF Pro, ABM, ADE). Design secure macOS/iPadOS deployments, automate workflows and packaging, integrate identity (Microsoft Entra/Platform SSO), improve endpoint security, troubleshoot advanced issues, and partner with Security, Infrastructure, and Service Desk to modernize Mac endpoint management globally.