Software Engineer Jobs in Cambridge, MA

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Develop scalable customer-facing features and internal developer-experience tools for Chewy’s e-commerce platform. Responsibilities include system architecture, automation, observability, CI/CD, monitoring, testing, code reviews, agile collaboration, mentoring junior engineers, and production troubleshooting through on-call rotations.

Build and maintain backend services and large-scale data pipelines for recommendation systems, productionize ML models (batch and real-time), develop vector database capabilities, ensure observability and reliability, lead A/B testing and data-driven decisions, participate in on-call and incident response, and mentor engineers while integrating AI into development workflows.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Collaborate with product, design, analytics, and engineering teams to deliver scalable features. Integrate APIs, manage data, optimize performance, monitor reliability and crash analytics, participate in code reviews and testing, troubleshoot issues, and apply modern mobile development practices.

Build and maintain integration and end-to-end testing frameworks across backend and frontend systems. Optimize CI/CD test execution, establish repository testing standards, develop mocking and service-isolation tools, and improve test coverage. Explore AI-driven test generation, regression detection, and flaky-test analysis. Partner with engineering teams to troubleshoot failures, monitor test-suite and pipeline health, and deliver scalable quality improvements.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

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.

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, microservices, APIs, data pipelines, predictive models, and GenAI workflows. Collaborates with data scientists, engineers, product managers, and stakeholders to build, test, maintain, and support applications throughout their lifecycle. Responsibilities include API and data architecture, automated testing, technical debt reduction, backlog refinement, observability, and engineering excellence.

Build and improve software, platforms, and operational frameworks for incident response, on-call readiness, post-mortem learning, and engineering resilience. Lead incident-process design, facilitate reviews, mentor engineers, train on-callers, and drive cross-functional reliability initiatives. The role requires experience with distributed systems, Kubernetes, incident analysis, on-call operations, and software development primarily in Go and Python, with some TypeScript.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Build and improve Conga’s Rebates platform across frontend, backend, and data layers. Develop React and TypeScript interfaces, Java services, REST APIs, data models, business rules, and accrual workflows. Work with SQL and document databases, distributed jobs, testing, migrations, deployment, observability, and production troubleshooting. The role requires independent feature ownership, cross-functional collaboration, and attention to financial data accuracy and system performance.

Architects and implements Guidewire PolicyCenter integrations, configurations, and Gosu-based solutions. Leads technical design, coding, testing, documentation, architecture standards, troubleshooting, and platform modernization across cloud environments. Develops API-first, event-driven, and microservices solutions using Guidewire Cloud Platform, AWS, Kubernetes, CI/CD, observability, and infrastructure-as-code practices. Collaborates with architects, stakeholders, DevOps, and engineering teams while ensuring secure, compliant, and scalable integrations.

Build and scale fullstack Growth Platform systems, including self-service marketing tools, experimentation infrastructure, and customer and event-data integrations. Develop frontend and backend features, design and consume APIs, ensure scalability and maintainability, and collaborate with marketers, analysts, lifecycle teams, product managers, and engineers. Contribute to technical design, code reviews, testing, and process improvements while supporting attribution, data activation, and customer engagement.

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.

Design and architect scalable full-stack software spanning React/TypeScript frontend, GraphQL backend, and GCP infrastructure. Lead technical initiatives, establish engineering standards, document technical decisions, ensure quality through testing, mentor engineers, and partner with product and engineering leadership. Staff-level responsibilities include owning architecture for major or cross-cutting systems and leading complex initiatives with minimal oversight.

Develop and deploy production robotics software across the stack, including real-time control, motion planning, machine learning, perception, compilers, firmware, and cloud services. Build data-labeling tools, integrate hardware and software across platforms, and install and tune systems at customer facilities. Collaborate closely in a small engineering team while taking ownership of technical outcomes and supporting products from initial development through live production use.

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.

Build, release, and support production software across .NET services and client platforms including Android, Chrome, Windows, and web. Collaborate with engineers and cross-functional teams to solve customer problems, improve engineering quality and efficiency, and develop reliable software serving millions of users. The role also involves using modern AI tools and completing Microsoft Cloud security screening.

Develop and maintain Akamai’s custom Linux kernel for its cloud platform. Responsibilities include adding performance, reliability, and security features; porting modifications across kernel versions; debugging production and test issues; improving build and continuous-testing automation; collaborating with platform, application, hardware, and test teams; and contributing changes upstream to the Linux community.

Designs and builds production computer-use AI agents that combine LLM reasoning with deterministic execution. Develops backend services, workflow state management, recovery, verification, evaluations, and diagnostics. Partners directly with customers to prototype and improve automation, shapes architecture and technical direction, evaluates models and tools, mentors engineers, conducts design reviews, and supports hiring. Requires hands-on experience operating complex backend and LLM-powered systems in production.

Build and ship production systems that transform sensor data into infrastructure intelligence for government customers. Responsibilities include developing Python services, cloud data pipelines, APIs, integrations, and web platform features; owning work from concept through production; improving system performance and reliability; and collaborating with product, operations, and customers. The role also involves using AI coding tools and contributing across the technical stack.

Develops and deploys enterprise AI applications and intelligent workflows using C#, .NET, Azure, Azure OpenAI, RAG, AI agents, and Copilot Studio. Designs secure APIs, cloud-native services, event-driven architectures, and containerized workloads. Responsibilities include requirements gathering, architecture, development, CI/CD, observability, governance, production support, troubleshooting, documentation, and knowledge transfer. The role collaborates with technical and business stakeholders to deliver scalable AI-enabled solutions.

Build and ship production systems that transform road sensor data into infrastructure intelligence. Responsibilities include developing Python services, cloud data pipelines, APIs, integrations, and web platform features; improving scalability and reliability; owning features end to end; and collaborating with product, operations, customers, and technical teams. The role also involves using AI coding tools and supporting government technology integrations.

Founding engineer responsible for building and scaling 0-to-1 AI-powered products for wealth management. Owns end-to-end user experiences, partners with clients and internal teams, establishes architecture and product strategy, and develops applied AI systems including agents, harnesses, models, workflows, memory, context, and evaluations.