Top Hybrid Software Engineer Jobs in Boston, MA

Build and operate full-stack Flows product features, including the React canvas, analytics, version history, management surfaces, APIs, and Python services. Improve performance and reliability for large flows and accounts, create validation and recovery guardrails, collaborate with platform, product, and design teams, and contribute to technical leadership through reviews, mentorship, and operational excellence.

Provides technical leadership across Customer Care Engineering by setting technology vision, defining architectural strategy, and guiding scalable, resilient, AI-enabled platforms. Leads cross-organizational modernization initiatives, distributed systems and cloud architecture, AI integrations, engineering standards, and complex technical decisions. Partners with engineering, product, data science, and business leaders; mentors senior engineers; manages technical risk and dependencies; and translates ambiguous business needs into executable strategies and measurable outcomes.

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.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Lead architecture and delivery of complex AI-native software features for ServiceNow Flow. Build agent runtimes, tool integrations, prompt and context layers, retrieval systems, evaluation frameworks, and human-in-the-loop controls. Establish AI-assisted development practices, mentor engineers, set engineering standards, partner cross-functionally on product delivery, and own production quality, observability, release readiness, and defect resolution.

The Chief Technology Officer leads engineering, infrastructure, security, architecture, technical hiring, and distributed team operations. Responsibilities include modernizing a PHP monolith, scaling AWS-based high-traffic systems, managing databases and event-driven services, maintaining PCI DSS and SOC 2 compliance, improving reliability and security, overseeing technical roadmaps, and communicating technology strategy and tradeoffs to executives and business partners. The role is hands-on and requires continued involvement in architecture, performance optimization, incident response, and code when needed.

Develop and maintain backend services and APIs supporting WHOOP member-facing features. Collaborate with product, design, data science, and engineering teams to deliver scalable solutions. Write tested code, participate in reviews, monitor production systems, troubleshoot issues, document solutions, and contribute to reliable, high-performing distributed systems using Java, Kafka, PostgreSQL, and AWS.

Lead the Cloud Platform engineering team responsible for scaling and operating nRF Cloud, an IoT platform supporting millions of devices. Own reliability, performance, infrastructure, databases, security, observability, and the technical roadmap. Manage team productivity, culture, hiring, and cross-functional alignment while remaining hands-on through architecture, code reviews, and production debugging. Drive platform excellence, sustainable on-call practices, and pragmatic technical investment.

Leads multiple software engineering teams responsible for AML technology, including detection, investigation, and reporting platforms. Drives engineering strategy, architecture, cloud deployment, modernization from monoliths to microservices, system resilience, scalability, and operational excellence. Partners with product and executive leaders, mentors engineers and managers, oversees talent strategy, and advances generative and agentic AI innovation across full-stack development.

Develop and deploy well-tested, efficient software for dealer-facing inventory products. Support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers across technical design, implementation, testing, and performance measurement. The role involves front-end development with React and JavaScript, backend development with Java and SQL, and work involving distributed systems and microservice architecture.