Top Hybrid Software Engineer Jobs in Boston, MA

Leads full-stack software engineering teams and portfolios, setting technical strategy, mentoring engineering leaders, and delivering large-scale distributed and cloud-native systems. Responsibilities include managing Agile teams, defining technology roadmaps, partnering with product and architecture leaders, driving enterprise alignment, overseeing architecture and implementation, and supporting succession planning. The role uses modern programming languages, cloud platforms, databases, containers, CI/CD, and automated testing while occasionally coding or reviewing code.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Leads full-stack engineering teams and a portfolio of technology projects within Risk Tech. Responsibilities include setting technical strategy, mentoring engineering leaders, delivering cloud-native distributed systems, partnering on roadmaps, managing multi-team Agile programs, and aligning engineering execution with enterprise goals. The role involves technologies including Java, Python, JavaScript, TypeScript, AWS, Docker, Kubernetes, databases, and AI-powered solutions.

Lead complex enterprise AI deployments and go-live support engagements, build shared tooling, maintain deployment playbooks, mentor engineers, establish quality standards, capture deployment knowledge, and partner with product and engineering teams to improve customer outcomes. The role requires hands-on software engineering, customer-facing delivery, AI feature and GenAI model integration, prompt engineering, and production-quality development.

Leads complex enterprise AI deployments and go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, captures reusable deployment knowledge, establishes quality standards, and partners with product and engineering teams. The role requires hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, and executive-level communication.

Develop and support secure, scalable full-stack and backend applications for Global Finance Tech. Responsibilities include feature development, technical design, code reviews, automated testing, CI/CD, observability, production support, incident resolution, documentation, and integrating AI-powered capabilities. The engineer collaborates with product owners, business partners, and senior engineers to translate business needs into technical solutions while contributing to architectural standards and continuous improvement.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Collaborate with product, design, analytics, and engineering teams to deliver scalable features. Integrate APIs, manage data, optimize performance, monitor reliability and crash analytics, participate in code reviews and testing, troubleshoot issues, and apply modern mobile development practices.

Develop and integrate platform software for audio technology products using Linux, RTOS, C/C++, Python, DSP, and middleware. Support product delivery, coordinate cross-functional teams, resolve integration issues, and build scalable software components. Collaborate with systems, QA, and security teams while maintaining integration documentation, matrices, and progress reports. The role also requires audio technology experience involving DSP pipelines, latency-sensitive systems, or room correction algorithms.

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 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.

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.