Top Hybrid Software Engineer Jobs in Boston, MA

Design, develop, deploy, and maintain scalable customer-facing software, APIs, workflows, and data-driven services. Define technical requirements, create implementation plans, automate and test releases, review code and architecture, and drive technical decisions. The role includes mentoring engineers, identifying technical gaps, maintaining engineering excellence, and serving as a product-domain expert while collaborating with product managers, data scientists, team leads, and managers.

Develop, deploy, document, and support full-stack web applications, APIs, integrations, and automation solutions. Build Vue.js and JavaScript interfaces, Python backend services, RESTful APIs, relational database integrations, and AWS-hosted applications. Collaborate across product, QA, infrastructure, security, and business teams in an Agile environment. Troubleshoot production issues, follow secure development practices, and apply AI, LLM, and workflow automation concepts to improve business processes.

Software engineering interns contribute to production features across Kensho teams, including machine-learning applications, APIs, services, platform abstractions, observability, deployment, and data ingestion systems. Interns participate in code reviews, production deployments, infrastructure as code, testing, documentation, and continuous learning while collaborating with experienced engineers. The role requires algorithm and data-structure knowledge, at least one technical area of expertise, adaptability, and practical projects or open-source experience.

As a Software Engineer III, you will design, build, and enhance high-complexity components, mentor team members, and collaborate on projects, ensuring high-quality code and customer-centric solutions.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Develops regulatory technology, collaborates with product managers, evaluates code, mentors engineers, and drives technology modernization using modern programming languages, databases, containers, orchestration platforms, and cloud services.

Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.

Design, develop, test, deploy, and iterate production Java software and agentic AI systems for wealth management technology. Apply AI-assisted development practices, contribute to architecture and design reviews, build reusable foundations, troubleshoot complex issues, and deliver scalable, resilient backend solutions. Work with Spring or Spring Boot, REST APIs, relational and NoSQL databases, cloud environments, observability tools, and adaptive-system testing while collaborating closely with a product-minded engineering squad.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Lead Perk’s go-to-market engineering function, owning its architecture, tooling, automation roadmap, and commercial impact. Build production workflows in Clay and modern LLM and agent platforms, integrate CRM and revenue systems, and code in Python, SQL, SOQL, or TypeScript. Automate prospecting, sales productivity, and account management processes across global teams. Lead a senior international team, establish engineering standards, partner with Sales and Revenue Operations leadership, and measure outcomes against revenue metrics.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.