Software Engineer Jobs in Cambridge, MA

Leads the architecture and development of scalable cloud-native enterprise applications on Microsoft Azure. Designs reusable software capabilities, front-end interfaces, database architectures, and microservices; owns the full software development lifecycle; and promotes secure, test-driven, maintainable engineering. Partners with architects and product managers, evaluates modern technologies, resolves performance and reliability issues, presents architectural decisions, documents systems, and mentors engineering teams while ensuring cybersecurity, data governance, and regulatory compliance.

Architect and build Tagup’s core platform for ingesting, processing, and acting on billions of physical-world data points. Develop high-performance REST APIs, microservices, scalable ETL pipelines, AI-agent data systems, and cloud infrastructure. Own architectural domains spanning API design, data modeling, deployment, monitoring, and automated CI/CD. Ensure high availability, mentor junior engineers, and establish strong engineering standards while collaborating with data scientists and defense-focused operators.

Develop and own backend features for the Payments & Partnerships domain using server-side Kotlin/Java (or similar). Collaborate with product, marketing, and frontend teams from design through production. Produce clean, testable code with high test coverage, deploy via CI/CD, and leverage AI/LLM tools to improve developer productivity.

Design and implement scalable cloud architectures to ingest and normalize telematics data, build front-end experiences, develop and secure APIs, optimize databases and performance, mentor engineers, lead technical direction, and ensure system reliability, scalability, and security for telematics-driven safety products.

Own and operate OnRamp's AWS platform and deployment systems, build CI/CD and agent infrastructure, apply LLMs and coding agents to automate DevOps, ensure observability, reliability, security and compliance (SOC 2/HIPAA), and create developer-facing automation to increase team velocity.

Develop and maintain large-scale scientific workflows and tooling for computational drug discovery. Build cheminformatics pipelines, virtual screening and docking workflows, scalable ML inference and chemical databases, and automation for modeling, analysis, and visualization. Support scientists, increase automation, and ship features that advance AI-enabled proximity therapeutics.

Develop, maintain, and support R&D software; ensure stability and reliability; own SDLC; improve observability, and mentor team members.

Design, develop, and support scalable regulatory technology systems using Python, Java, cloud services, APIs, microservices, and automated delivery practices. Provide architecture guidance, production support, incident resolution, system optimization, and technical leadership. Collaborate with business, operations, compliance, and IT stakeholders; mentor developers; support infrastructure and disaster recovery initiatives; and evaluate AI-assisted engineering tools in a highly regulated environment.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and scale the company's data infrastructure: design ingestion paths, event models, schema-flexible data models, change capture, query performance, freshness guarantees, and analytics serving for customer-facing dashboards and evaluation pipelines.

Join the User Systems team to design, develop, test, deploy and maintain cloud-based backend systems for mobile apps. Collaborate cross-functionally, optimize for performance, reliability and scalability, participate in code/design reviews and testing, document systems, and serve in an on-call rotation.

Design, build, test, and maintain scalable cloud-based backend services for device connectivity and real-time customer control. Perform long-term support, performance optimization, documentation, and participate in on-call rotation to ensure reliability and uptime.

Design, build, test, deploy, and maintain cloud-based backend systems that power native mobile apps. Work in a cross-functional team to optimize performance, reliability, and scalability, participate in code and design reviews, write tests and documentation, and serve on the teamon-call rotation.

Build and maintain developer platform automation and tooling using Python/TypeScript, Pulumi, Docker, AWS, and CI/CD. Partner with application teams to onboard workloads, improve developer experience, runbooks, monitoring, and security scanning. Support platform operations, reduce toil via automation, and enable AI-assisted development and internal tooling.

Design, develop, and maintain scalable data platforms and batch/streaming pipelines. Implement data scientist algorithms, drive engineering best practices, mentor junior engineers, improve processes and infrastructure, and contribute to distributed system software and CI/CD in an Agile environment.

The Principal Embedded Software Engineer develops high-performance embedded software solutions, mentors junior engineers, and manages technical risks in software projects across various domains.

Build and maintain Compass's iOS mobile app features. Collaborate with Product and Design, participate in design and code reviews, write tests and documentation, integrate with RESTful services, and drive engineering initiatives to improve platform quality and velocity.

As a Founding Robotics Software Engineer, you will develop software for reliable robot operations, optimize algorithms, and deploy solutions in various environments.

The Senior Software Engineer will lead the integration of a business development application with Salesforce CRM, involving .NET development and Web/UI technologies, and manage the software development lifecycle.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

The Software Engineer will architect, build and scale the core infrastructure for an AI-driven CRM, ensuring system performance and resilience. Responsibilities include developing data models and backend services, maintaining full-stack systems, and mentoring team members.

Design and build Machine Learning libraries, implement CI/CD pipelines, and support Ray-based compute environments, collaborating with ML experts.

Develop high performance embedded software solutions for various domains, collaborate in the software development life cycle, and evaluate design performance and compliance.

Join the Device Cloud Services backend team to learn and contribute to large-scale distributed systems that provide customers real-time control of home security devices. Implement well-tested, reliable services, write automated tests, debug and improve existing systems, document work, participate in code reviews, use AI-assisted developer tools, and after ramp-up join the on-call rotation with mentorship from senior engineers.

Lead design automation engineering: architect and build a pipeline that converts high-level building designs into manufacturable production plans. Decompose ambiguous domains into durable abstractions, design intermediate representations and verification gates, leverage AI and coding agents, set technical direction, and mentor engineers while collaborating with interdisciplinary teams to integrate automation into factory workflows.