Top Software Engineer Jobs in Boston, MA

Build and deploy software applications, data products, integrations, automations, and AI-enabled solutions for Finance, Operations, and other business teams. Translate workflows into technical requirements, develop production-ready systems, connect data sources, test and document solutions, gather user feedback, support adoption, and continuously improve operational efficiency and decision-making.

Build and support applications, data products, automation, and practical AI solutions for SharkNinja’s internal transformation team. Responsibilities include writing Python and SQL, analyzing and transforming data, improving data quality, testing and troubleshooting solutions, collaborating with business users, and supporting deployment, documentation, and adoption. The role is designed for an early-career engineer with opportunities to learn enterprise data, software development, automation, and AI technologies.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

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.

Leads the design, development, testing, integration, and deployment of scalable cloud products and platforms. Reviews designs and code for compliance, improves product quality, integrates emerging technologies, analyzes complex application and systems problems, and provides technical guidance and mentoring. Collaborates with project teams and communicates architecture and design proposals to senior management.

Develop and maintain enterprise software applications, integrations, APIs, automated workflows, and data-processing tools. Collaborate with business, IT, and cybersecurity stakeholders to translate operational needs into technical solutions. Manage roadmaps and backlogs, deploy containerized applications through CI/CD pipelines, troubleshoot existing systems, and improve reliability and automation. The role also supports enterprise reporting, data integration, business applications, and AI-assisted software development.

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.