Top 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.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

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.

Design, develop, and maintain scalable backend systems and APIs supporting real-time sports betting experiences for millions of customers. Own the full software development lifecycle, deliver production-ready code, optimize performance and reliability, resolve production issues, and build automated tests. Collaborate with product and engineering teams, contribute to technical standards, and mentor other engineers in a high-volume cloud environment.

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.

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.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Develop backend tools and systems that improve batch development, testing, workflow efficiency, and reliability. Collaborate with product, infrastructure, design, and analytics teams; break projects into deliverable phases; build scalable, well-tested code; monitor metrics; support system availability and on-call operations; debug code; conduct reviews; and contribute to engineering growth and hiring activities.

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.

Lead architecture, development, and operation of globally scaled payments and billing systems. Own subscription billing, payment providers, invoicing, reconciliation, security, compliance, reliability, and modernization. Use and advance AI-agent workflows for engineering, incident response, testing, and anomaly detection while enforcing strict human review and PCI safeguards. Mentor engineers, guide technical strategy, and collaborate with Product, Finance, Risk, Platform, and Analytics.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

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.

Leads architecture and hands-on development of backend services supporting multi-tenant MSSP partner workflows. Responsibilities include tenant isolation, account hierarchies, delegated administration, API design, reliability, observability, production issue ownership, and mentoring engineers. The role partners across Product and Engineering to deliver secure, reliable cloud-hosted platform capabilities for client and sub-client management.

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.

Provide hands-on technical leadership for backend services and APIs supporting account administration, authorization, tenant boundaries, account hierarchies, settings, roles, and audit logs. Lead architecture and implementation of complex changes, improve API quality, testing, security, observability, rollout practices, and production readiness. Partner across Product and Engineering, mentor engineers, influence technical direction, document tradeoffs, and diagnose complex production issues.

Build and maintain data pipelines, PostgreSQL systems, Kubernetes infrastructure, deployment tooling, and SaaS integrations. The role includes infrastructure reliability, observability, incident response, security collaboration, Salesforce data flows, CI/CD, testing, debugging, and agile delivery. The engineer will connect data infrastructure with Techstars OS product teams and improve reliable, secure systems across the organization.

Leads the infrastructure and backend engineering function supporting mobile games, analytics systems, internal products, APIs, and web services. Owns AWS architecture, reliability, security, monitoring, automation, CI/CD, cost optimization, Snowflake data infrastructure, high-volume event pipelines, backend services, game servers, and technical roadmaps. Provides hands-on architecture, implementation, code review, technical leadership, cross-functional collaboration, and end-to-end project ownership.

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.