Top Software Engineer Jobs in Boston, MA

Leads complex, enterprise-scale software engineering initiatives for payment and banking technology. Designs, develops, tests, debugs, documents, and reviews Java Spring Boot microservices and cloud-based solutions. Establishes engineering standards, resolves complex technical issues, mentors team members, and collaborates with technical experts and stakeholders. The role requires expertise in MongoDB, Kubernetes, OpenShift, REST architectures, and shared services, with payments and ISO 20022 knowledge preferred.

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.

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.

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.

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.