Top Software Engineer Jobs in Boston, MA

Design, develop, and optimize scalable backend services, APIs, middleware, and core platform components. Build hospital-system integrations, improve performance for high-volume medical data, maintain monitoring and observability, and automate deployment pipelines and infrastructure. Support live customer integrations, implement enhancements, and contribute to system architecture, reliability, and cost efficiency across cloud-native, containerized environments.

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.

Lead a small engineering team while remaining hands-on, guiding software development from design through delivery. Build new products and scale existing systems, establish technical excellence, collaborate with platform engineers and domain experts, and work directly with customers and end users to deliver decision-making platforms for defense and airspace safety.

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.

Develop and operate scalable, resilient Autoship platform services and applications using frontend and backend technologies. Responsibilities include designing distributed systems, building microservices and APIs, deploying prototypes, debugging, code reviews, testing, DevOps practices, and collaborating across teams to improve automation and operational processes.