Top Hybrid Software Engineer Jobs in Boston, MA

Lead hands-on development of scalable full-stack web applications and core platform services for a clinical data and analytics platform. Influence architecture, engineering standards, security, reliability, and maintainability; mentor engineers; resolve distributed-system production issues; and collaborate across product and QA. Integrate LLMs, AI-assisted workflows, and agentic patterns into secure .NET and Python enterprise systems while supporting documentation, compliance, and the full software development lifecycle.

Develop large-scale full-stack consumer applications that protect customers and mitigate fraud and cyber risk. Collaborate with product and design teams in an Agile environment, applying customer-centric design, system architecture, cloud engineering, API integration, CI/CD, and continuous improvement practices. Build solutions using React, Node.js, GraphQL, AWS, and serverless technologies while communicating technical decisions to non-engineers.

An 11-week technology internship embedded with Liberty Mutual engineering teams. Interns contribute to customer-facing applications and backend solutions, using modern engineering practices and AI-assisted development tools. Responsibilities include planning, building, testing, and delivering software in agile teams while developing coding, collaboration, and problem-solving skills under experienced engineers’ guidance.

Develop and improve home energy simulation software, implement and maintain building energy codes and standards, collaborate with energy model developers, support internal teams and customers with energy modeling questions, and use AI-assisted development tools. The role combines software engineering with heat transfer, thermodynamics, and building science expertise.

Leads full-stack software engineering teams and technology portfolios supporting risk and GRC solutions. Responsibilities include managing developers, setting technical strategy, driving cloud-native distributed-system design, mentoring engineering leaders, partnering with product and architecture teams, defining roadmaps, and delivering large-scale initiatives. The role involves JavaScript and TypeScript ecosystems, multiple programming languages, AWS and other cloud platforms, microservices, databases, Kubernetes, AI-enabled solutions, and enterprise technical governance.

Build and deploy clean, tested, efficient full-stack software for dealer inventory products. Develop across the technical stack, support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers from technical design through testing and performance measurement. The role requires React, JavaScript, Java, SQL, distributed systems, microservices, and strong data structures and algorithms knowledge.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

Owns end-to-end architecture for Klaviyo’s marketing, sales, and customer experience systems. The role designs integrations, data models, governance, reporting, and AI-agent workflows across Salesforce and related platforms. It combines executive-level technical strategy with hands-on development using Apex, LWC, Flow, SOQL, integrations, and AI orchestration. The architect will redesign GTM processes around AI, ship production solutions, advise senior leadership, establish engineering standards, and mentor GTM Systems teammates.

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.