Top Backend Engineer Jobs in Boston, MA

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 maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Lead architecture and hands-on development of scalable backend systems and APIs supporting real-time applications at massive scale. Own the full engineering lifecycle, establish standards for reliability and testing, troubleshoot production issues, influence technical roadmaps, collaborate cross-functionally, and mentor engineers. The role requires deep backend development, distributed cloud systems, system design, automated testing, and technical leadership experience.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

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.

Design, build, test, operate, and improve reliable backend services and APIs. Lead projects from definition through deployment, make scalability and reliability tradeoffs, improve observability, investigate production issues, and collaborate with cross-functional teams to deliver customer-focused solutions.

Design, build, test, and operate scalable backend services and APIs. Lead complex projects, make architecture and reliability tradeoffs, improve observability and incident response, collaborate cross-functionally, influence technical direction, mentor engineers, and drive durable improvements to production systems and developer experiences.

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.

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.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS 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.

Design and build scalable Python backend systems for a real-time AI voice-agent platform. Responsibilities include architecting microservices, APIs, distributed systems, databases, message queues, event-driven workflows, EHR integrations, observability, and HIPAA-compliant infrastructure. The engineer will own backend features end to end, ensure reliability and low latency at scale, and collaborate through technical discussions and code reviews.

Staff Backend Software Engineer responsible for technical direction, architecture, and hands-on development of scalable backend and AI infrastructure. Owns foundational platform services, databases, observability, reliability, security, cost optimization, and cloud deployment. Leads cross-functional initiatives, establishes engineering standards, authors RFCs, mentors engineers, and contributes to AI integrations and frontend work as needed. The role is hybrid in Boston, Massachusetts.

Build scalable Python backend services and distributed geospatial data pipelines for sonar and bathymetric datasets. Architect AWS cloud infrastructure, APIs, storage, and edge-processing systems for AUVs. Integrate AI/ML models for target detection and data classification, optimize cloud-native geospatial formats, and contribute to containerization, infrastructure-as-code, and CI/CD. The role bridges real-time onboard processing with post-mission cloud analysis.

Develop and maintain enterprise and SaaS backend applications using Java and Spring Boot. Design RESTful APIs, manage authentication and authorization, build database models and queries, conduct code reviews, improve application performance and security, and collaborate with technical and business stakeholders. The role also involves testing, deployment, documentation, and maintaining cloud-based applications using AWS and Docker.

Develop and scale backend systems and internal operations tools, with approximately 70% backend and 30% frontend work. Build Python services, RESTful APIs, and event-driven workflows; contribute to React, Next.js, and TypeScript interfaces; integrate external APIs; and participate in system design, testing, deployment, and product releases. Collaborate with product, design, and engineering teams to deliver reliable, scalable systems serving thousands of customers.

Designs and supports DevOps and backend solutions for complex enterprise and mission-critical environments. Builds cloud-native architectures, backend applications, APIs, microservices, automation services, and CI/CD pipelines. Automates infrastructure and deployments using Terraform and scripting languages, supports Kubernetes and containerized workloads, and troubleshoots production issues across cloud platforms. The role requires a bachelor's degree, Secret clearance eligibility, and substantial DevOps and backend development experience.

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.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Architect and lead development of high-scale, low-latency backend and data platforms for wealth custody and clearing. Define engineering standards, technical vision, and distributed-system architecture across teams. Partner with product and business stakeholders, mentor senior engineers, lead incident response, optimize performance, and improve reliability. Ensure platforms meet stringent requirements for availability, consistency, security, observability, auditability, and regulatory compliance using Java, Spring Boot, AWS, Kubernetes, PostgreSQL, Kafka, and microservices.