Top Senior Backend Engineer Jobs in Boston, MA

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Build and ship full-stack sourcing products with a backend focus, including domain models, APIs, event-driven services, data systems, and ERP integrations. Collaborate with product, design, frontend, and QA teams; review AI-generated code; ensure system quality, type safety, and reliable testing; adapt across product areas; document decisions; and mentor engineers.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Design and scale asynchronous Python backend systems, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Own relational data models, observability, performance, CI/CD, and production deployment. Establish AI governance covering code review, provenance, licensing, security, compliance, and customer data handling. Drive ideas from concept through production while owning architecture and outcomes.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Develop scalable Django back-end applications and RESTful APIs; design databases, schemas, ER diagrams, data flows, authentication, and authorization systems. Configure cloud infrastructure and production deployments, optimize PostgreSQL performance, write automated tests, and manage Linux servers with Bash, SSH, and shell scripting. Collaborate with cross-functional teams, document systems, and contribute to scalable architecture. This is a remote, unpaid internship requiring at least 30 hours weekly.

Own backend features from inception through production, develop and improve Kotlin services, write maintainable and well-tested code, and design scalable, reliable distributed systems within a small cross-functional team.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Build and operate backend services and APIs for secure, multi-tenant administration workflows, including user access, account hierarchies, settings, roles, access controls, and audit logs. Own features from design through production support, applying strong data modeling, authorization, testing, observability, and reliability practices. Collaborate with Product and engineering teams, investigate production issues, document systems, and mentor teammates.

Build and operate highly scalable Go backend services and data infrastructure for the AT Protocol ecosystem. Scale systems to support hundreds of millions of users, hundreds of millions of events, petabytes of NVMe storage, thousands of CPU cores, and tens of terabytes of RAM. Responsibilities include developing mission-critical services, managing production operations, and working with databases, distributed systems, operating systems, networking, and storage technologies.

Build and lead development of high-availability backend services for Affirm’s card loan platform. Design scalable APIs, data models, microservices, and event-driven systems supporting real-time loan attribution, approvals, origination, and refunds. Drive technical strategy, troubleshoot complex performance issues, collaborate with cross-functional teams, and mentor engineers while ensuring long-term system robustness and scalability.

Designs, develops, and supports scalable Java microservices using Spring Boot and Google Cloud. Responsibilities include SQL and data pipeline development, CI/CD automation with Jenkins, infrastructure as code using Terraform, unit testing, code reviews, production incident resolution, root-cause analysis, agile execution, and mentoring engineering teams.

Build and operate backend services and asynchronous workflows that provision customer accounts, assets, and product entitlements. Own projects from design through production support, ensuring reliable retries, idempotency, observability, testing, and recovery from failures. Collaborate with licensing, Product, administration, partner, and customer-facing teams to improve onboarding and activation paths. Investigate operational issues, address root causes, document systems, and contribute to code reviews and technical problem solving.

Build and operate secure AWS backend systems, healthcare data pipelines, and EHR integrations that transform partner data into model-ready results. Develop FHIR integrations, AI-assisted onboarding tools, infrastructure, CI/CD, monitoring, and production ML operations while supporting product and full-stack needs. Lead partner technical go-lives, establish engineering standards, mentor future engineers, and collaborate with data scientists, clinicians, and IT teams while protecting PHI.

Designs, builds, and maintains scalable backend applications, services, and APIs for processing sensor data from smartphones and connected vehicles. Translates business requirements into technical solutions, participates in code and design reviews, supports production systems, and mentors junior developers. The role requires strong programming skills, SQL database experience, AWS experience, and hybrid work in Cambridge, Massachusetts.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.