Software Engineer Jobs in Cambridge, MA

Design, develop, and deploy scalable cloud-native applications in Python. Build and maintain infrastructure-as-code, CI/CD pipelines, Kubernetes/Helm deployments, and ensure security compliance. Collaborate with engineers and data scientists to produce maintainable, modular software for DoD customers.

Design, develop, and maintain full-stack web applications hosted in the cloud. Implement front-end UIs, build backend APIs interacting with cloud services, containerize apps, collaborate with infrastructure engineers, follow Agile and DevSecOps practices, and contribute to extensible, object-oriented codebases.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Develop and improve Dimagi’s CommCare platform through full-stack software engineering. Responsibilities include building features, writing automated tests, participating in code reviews and agile processes, supporting continuous integration and deployments, and collaborating with international development and implementation teams. The role focuses on creating accessible software for frontline workers in challenging environments and may include data engineering and AI-assisted coding work.

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.

Analyze Linux system performance, design and implement performance enhancements, productize new servers and hardware, extend performance metrics and visualizations, and build diagnostic tooling. The role requires advanced C programming, Linux kernel expertise, virtualization knowledge, hardware enablement and debugging experience, performance analysis skills, and understanding of computer architecture, concurrency, algorithms, and hardware interconnects.

Build and ship React and TypeScript interfaces for a Chrome extension and web apps, partnering on UI/UX, accessibility, performance, data models, APIs, and AI-generated scaffold quality. Contribute to Node.js and MongoDB systems, expand compatibility across educational platforms and documents, and support privacy, security, reliability, and product decisions on a small startup team.

Build and maintain high-performance Vue.js interfaces controlling automated restaurant robotics. Develop real-time WebSocket communication, manage complex reactive state, translate Figma designs into intuitive tools, and optimize frontend performance under heavy data loads. Collaborate with software, hardware, product, and design teams while learning additional technologies such as Elixir and Phoenix.

Develop autonomy software for unmanned systems, including algorithm design, software testing in simulations, and collaborative R&D efforts with a multidisciplinary team.

Design, develop, and deploy high-performance distributed optimization, data, and simulation systems. Collaborate with cross-functional teams, resolve data quality and production issues, write maintainable code with TDD, unit tests, and CI/CD, and advocate engineering best practices.

Build and ship core product features for an early-stage identity platform. Implement scalable full‑stack solutions (TypeScript/Node.js/React/MongoDB) on Google Cloud, contribute to architecture and design, participate in code reviews, collaborate with design and product partners, and keep the platform current with industry trends.

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Design, implement, test, and deploy full-stack features across a large cloud-native platform. Collaborate with product, design, and TechOps, produce documentation, propose improvements, and maintain high code quality and testing practices.

The Lead People Systems Engineer will design AI-first People workflows, build scalable AI systems, and ensure responsible AI practices in HR operations.

Senior Front End Software Engineer responsible for architecting, building, and maintaining high-performance applications across frontend, backend, cloud, and event-driven systems. The role leads complex technical initiatives, integrates AI and data pipelines, ensures software quality through testing and reviews, owns applications throughout their lifecycle, documents architecture, collaborates cross-functionally, and mentors engineers. Primary technologies include TypeScript, JavaScript, React, Node.js, AWS, and modern CI/CD and containerization practices.

Design and implement secure multi-cloud infrastructure and applications, supported by engineering principles and DevOps practices for the Air Force.

Software engineering interns contribute to production features, APIs, services, machine learning applications, data ingestion pipelines, and platform infrastructure. They participate in code reviews, deployment, observability, infrastructure as code, and engineering best practices while collaborating with experienced teams. Interns also receive opportunities for technical learning and cross-team exploration. The role requires algorithmic knowledge, software development experience through projects or open source, adaptability, and strong coding, documentation, and communication skills.

Leads frontend software development across strategic product domains, designing and building dashboards, notifications, reporting interfaces, and intelligent automation. Independently drives complex technical projects, integrates AI models and data pipelines, improves performance, writes automated tests, conducts code reviews, documents architectures, owns applications throughout their lifecycle, and mentors engineers. Collaborates with cross-functional stakeholders to deliver scalable tools for real estate agents.

Early-career software engineer building AI-native, agentic systems. Design, implement, test, deploy production solutions using AI-assisted tools. Contribute reusable foundations, participate in design/code reviews, and iterate on systems with attention to observability, state management, and inference cost.

Develops, tests, and maintains Appian-based software, workflow, and case-management solutions. Designs SAIL interfaces, process models, record types, integrations, and reusable components; supports platform administration, security, deployment, upgrades, and optimization. Builds RESTful and enterprise data integrations, including Kafka-based messaging, while applying engineering standards in a HIPAA-regulated environment.

Designs and executes automated and manual testing for web, desktop, mobile, and API platforms. Builds scalable test automation frameworks, integrates test suites into CI/CD pipelines, and tests file management functionality including syncing, sharing, storage, and data integrity. Investigates defects, performs root-cause analysis, creates test plans, and collaborates throughout the software development lifecycle to improve product quality and reliability.

Develop and maintain low-level embedded software for low-power wireless MCUs and SDKs. Own features from requirements through release, optimize real-time firmware for performance and power efficiency, debug hardware-software issues, support silicon bring-up, develop automated testing, and collaborate with cross-functional engineering teams. The role also includes code reviews, technical design discussions, and mentoring engineers.

Develop and scale frontend-focused full-stack applications for underwriting teams. Responsibilities include building high-performance Next.js interfaces, contributing to Node.js and NestJS backend services and RESTful APIs, applying testing and OOP practices, architecting reliable systems, and collaborating with design, product, backend, and underwriting teams throughout development and deployment.

Lead architecture, design, and implementation of scalable platform services powering production AI agents. Collaborate cross-functionally to define requirements, drive high-impact initiatives, establish technical direction, mentor engineers, and improve engineering quality. Build resilient backend systems using TypeScript, Node.js, and Java, with telephony integrations such as SIP or Twilio. The role is hybrid in Boston or San Francisco and operates in a fast-paced startup environment.

Senior Software Engineer responsible for architecting, building, and scaling Maven AGI’s platform for production-grade AI agents. The role develops backend services using TypeScript, Node.js, and Java; influences technical direction; leads high-impact initiatives; mentors engineers; and collaborates cross-functionally. Experience with telephony systems such as SIP or Twilio is expected, while LLM, retrieval-augmented generation, and agentic-system familiarity is advantageous. The position is hybrid in Boston or San Francisco.