Top Senior Backend Engineer Jobs in Boston, MA

Design, develop, deploy, and maintain secure, scalable Java and Spring Boot services for a multi-tenant ecommerce SaaS platform. Build REST APIs, optimize MySQL data access, operate AWS workloads, and support CI/CD, observability, testing, and production troubleshooting. Contribute to architecture and technical decisions, mentor engineers, use AI-assisted development tools responsibly, and help maintain PCI DSS compliance.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Design and implement scalable backend services for MoneyGram’s core transaction and API platforms. Responsibilities include architecture, microservices, APIs, event-driven systems, integrations, cloud development, CI/CD automation, testing, deployment, operational excellence, and engineering standards. The role collaborates with product, engineering, and QA teams, mentors junior engineers, leads complex technical solutions, and influences technical direction in an agile environment.

Design, implement, and maintain scalable, secure, high-performance backend systems and public-facing APIs. Collaborate with Product and Data Science teams, lead initiatives improving efficiency and system performance, and support customer satisfaction. Work may involve distributed systems, pricing engines, identity management, authentication, authorization, API versioning, deprecation, and rate limiting.

Own technical direction and complex projects for Tempo, Grafana’s distributed tracing backend. Build and optimize ingestion, storage, query, metrics, and API components; improve performance, scalability, reliability, and operational excellence. Collaborate across product and engineering teams, write design documentation, participate in on-call and incident response, mentor engineers, and contribute to the open-source Tempo project.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead the design and implementation of scalable, reliable backend systems powering WHOOP’s member experiences. Drive technical planning for complex initiatives, establish engineering standards, deliver platform capabilities, and mentor engineers. Collaborate with product, design, data science, and performance science teams while balancing technical quality, business priorities, observability, and long-term maintainability.

Designs, builds, and maintains secure, scalable FHIR-based backend services and REST APIs for CMS initiatives. Implements DEQM Summary MeasureReport profiles, resource validation, conformance checks, SMART security patterns, and automated tests. Partners on architecture decisions, troubleshoots interoperability issues, supports CI/CD conformance testing, and contributes to technical documentation, code reviews, Connectathons, and implementation testing.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Build and maintain high-quality backend software for a SaaS third-party risk management platform. Own loosely defined features from technical design through delivery, develop and optimize REST APIs, work with Python frameworks, cloud infrastructure, CI/CD pipelines, and container technologies, and contribute to continuous engineering improvements. Preferred work includes coding agents, database modeling, big data systems, search technologies, and AI-assisted development tools.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Build and operate backend APIs, a reusable integration platform, security-tool connectors, MCP capabilities, and event-driven services. Own GraphQL federation, permissions, multi-tenant access, reliability, observability, vendor API resilience, and production operations. Collaborate across engineering, product, and security teams while mentoring other engineers and contributing to technical standards.

Build and operate backend services for licensing, entitlements, provisioning, access control, multi-tenant administration, MSP/MSSP workflows, audit logging, and notifications. Design reliable cloud-native systems using Docker, Kubernetes, and relational databases, while contributing to observability, incident response, documentation, testing, and platform security. Collaborate across engineering, product, and design teams and mentor less experienced engineers.

Build backend APIs, GraphQL services, ETL pipelines, event-driven systems, and distributed infrastructure for cybersecurity workflows involving vulnerability intelligence, EDR validation, deception, tripwires, and autonomous defense. The role includes production reliability, monitoring, incident response, debugging, customer-facing security features, and collaboration with engineering and product teams. The engineer will also mentor less experienced developers and ensure security automation is safe, explainable, and reversible.

Build and deploy backend features across the platform, improve legacy code, performance, reliability, and technical debt, and establish backend architecture standards. Diagnose production issues, write automated tests, collaborate with Product, Design, and Engineering, and mentor teammates through code reviews, pairing, and technical guidance.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

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.