Top Hybrid Software Engineer Jobs in Boston, MA

Develop large-scale distributed systems and high-performance, low-latency software for ad traffic optimization. Apply mathematical algorithms and large-scale data analysis to maximize throughput, improve traffic prioritization, and reduce infrastructure costs. Own the full software development lifecycle, participate in production support and on-call rotations, and collaborate on technical tradeoffs. The role uses Rust, Scala, Spark, Kafka, Kubernetes, and cloud deployment tooling in a hybrid Boston or New York City environment.

Develop and maintain energy simulation software for residential building design and verification. Implement energy codes and standards, improve modeling calculations, provide energy-modeling support to colleagues and customers, and collaborate with developers on product enhancements. The role requires software development skills, knowledge of heat transfer and building science, strong communication, and an engineering degree with thermodynamics coursework. Hybrid work requires approximately one day weekly in downtown Boston.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

Design, build, optimize, and maintain Bevi’s Java and Kotlin backend platform for connected beverage machines. Develop APIs and telemetry services, manage cloud deployments, monitor system health, troubleshoot complex issues, and improve scalability and reliability. Collaborate with product and hardware teams, guide architecture, review code, promote testing practices, mentor engineers, manage third-party integrations, and participate in Agile/Scrum development.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

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

Lead end-to-end technical initiatives for an IoT cloud platform, shaping architecture, strategy, and roadmap. Build and scale React/TypeScript frontends, Python backends, cloud infrastructure, databases, and data systems. Improve developer experience, operate production systems, establish engineering standards, mentor engineers, and influence technical direction across teams. Collaborate closely with product and design while delivering reliable systems for monitoring, debugging, and updating connected devices.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

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.

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.