Top Hybrid Software Engineer Jobs in Boston, MA

Leads complex software and data engineering initiatives across a digital and customer data portfolio. Designs data architectures, models, pipelines, integrations, analytics collection platforms, and provisioning workflows using cloud and distributed technologies. Provides technical leadership, collaborates with stakeholders and engineering teams, guides agile delivery, establishes engineering standards, improves data quality and efficiency, supports implementations, and mentors engineers. Focus areas include full-stack development, digital analytics tagging, backend services, AWS, Java, Kafka, Kubernetes, and CI/CD.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Leads a team of software developers and a portfolio of technology projects focused on risk management and regulatory solutions. Builds and deploys cloud-based, AI-powered full-stack applications using distributed microservices and modern databases. Collaborates with product managers and cross-functional partners, mentors engineers, evaluates code, drives technology adoption, and oversees robust solutions using AWS and related technologies.

Develop and maintain native Android experiences and AI-powered personalization features for WHOOP’s recommendation engine. Responsibilities include Android architecture, Kotlin development, API integration, testing, performance monitoring, release management, technical documentation, code reviews, and collaboration with Product, Design, Backend, and engineering teams.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

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.

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.