Software Engineer Jobs in Cambridge, MA

Participate in Fidelity’s 10-week Leap Program to build scalable applications and features, develop software across the full lifecycle, write and test code, deploy through automated pipelines, and responsibly use AI tools. Collaborate with engineering teams on production projects supporting millions of financial-services customers while receiving mentorship and career development.

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Develop and maintain full-stack features for a SaaS platform supporting clinical trial workflows. Responsibilities include Python-based application development, frontend collaboration, architecture, testing, code review, refactoring, reliability, data integrity, and regulatory compliance. The engineer will collaborate with product, design, machine learning, infrastructure, clinical, QA, and regulatory teams while contributing to a distributed engineering organization.

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 full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Develop scalable Java and AWS applications, customer-facing features, automation, observability, and self-service engineering solutions. Responsibilities include system architecture, prototyping, code reviews, CI/CD and infrastructure improvements, monitoring, production troubleshooting, Scrum participation, on-call support, and mentoring junior engineers.

Build developer-experience tooling and frameworks for efficient development, testing, packaging, and rapid production releases. Lead release tooling design, establish quality feedback loops, improve engineering workflows through qualitative and quantitative feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers to enhance developer productivity and satisfaction while contributing to team and process growth.

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.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

Develop and optimize high-throughput C++ algorithms for remote sensor data exploitation, image analysis, detection, and tracking. Design software architectures, contribute to Agile teams and shared tools, and work with databases and Linux systems. The role requires strong object-oriented programming, data structures, concurrency, and performance optimization skills.

Build Pelico’s agentic platform end to end, developing Python backend services, React interfaces, agent tools, orchestration workflows, runtime reliability features, evaluation harnesses, and real-time approval consoles. The role involves shipping production AI capabilities, improving agent trustworthiness, defining technical specifications, and creating reusable full-stack engineering patterns for manufacturing customers.

As a Frontend Software Engineer, design, develop, and deploy web applications, collaborate with UX engineers, and implement user-friendly interfaces.

Design, build, optimize, and maintain Bevi’s Java and Kotlin backend platform for connected beverage machines. Develop APIs and telemetry services, manage cloud deployments, monitor system health, troubleshoot complex issues, and improve scalability and reliability. Collaborate with product and hardware teams, guide architecture, review code, promote testing practices, mentor engineers, manage third-party integrations, and participate in Agile/Scrum development.

Design and scale ARM64 compute platform infrastructure, hypervisor integrations, instance management, resource orchestration tools, and compute APIs. Develop and maintain low-level services using Python, Go, or compiled systems languages. Collaborate with hardware and global engineering teams, participate in design reviews, debug distributed Linux systems, and mentor junior engineers.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

Develop and deploy large-scale software systems for AI education and public policy research. Build generative AI, machine learning, and NLP tools; support randomized controlled trials and empirical evaluations; collaborate with researchers; translate theoretical models into production-ready applications; and contribute to academic publications and technical reports.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Build and scale reusable React and TypeScript UI components, design-system foundations, accessibility patterns, tooling, and frontend infrastructure. Lead architecture discussions, define component APIs, improve Storybook and testing workflows, drive adoption through documentation and migration guidance, and partner with design, accessibility, platform, and application teams. Mentor engineers, influence frontend standards, and solve ambiguous technical challenges while balancing scalability and maintainability.

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.

Architects and develops Guidewire PolicyCenter solutions, integrations, configurations, and Gosu applications. Leads technical design, cloud deployment, API and event-driven architecture, CI/CD, observability, testing, troubleshooting, and platform modernization. Collaborates with architects, stakeholders, DevOps, and engineering teams to establish technical standards, document solutions, and deliver scalable insurance technology solutions using Guidewire Cloud Platform and modern cloud-native technologies.

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

Lead the technical vision and execution of Klaviyo’s organization-wide CI/CD platform. Responsibilities include architecting deployment and rollback pipelines, setting engineering and repository standards, building scalable developer tooling, integrating AI into testing and software delivery, advising engineering teams, conducting root-cause analysis, and ensuring platform reliability. The role requires hands-on technical leadership across backend and frontend systems, infrastructure automation, testing, and high-frequency deployments.

Own production robotics software across firmware, perception, motion planning, machine learning pipelines, and cloud infrastructure. Build robot perception and data-labeling tools, solve technical problems across software layers, deploy and troubleshoot robotic systems at customer facilities, and collaborate on production-ready hardware and software designs.

Develop and test autonomy behaviors for unmanned systems using production C++. Implement features for behavior, coordination, motion planning, and survivability. Participate in full software lifecycle, integrate with sensors/actuators, support simulation and real-world testing, collaborate cross-functionally, and travel up to 20% to support integration and testing. Must be eligible for a U.S. Secret clearance.

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.