Top Backend Engineer Jobs in Boston, MA

Design and maintain backend services for WHOOP's healthcare platform, integrating advanced data insights and collaborating on feature development with cross-functional teams.

Lead a team delivering cloud-based back-end financial systems, architect distributed microservices, collaborate with product managers, mentor engineers, and build scalable data and reporting solutions using modern languages, containers, and cloud services.

The Senior Software Engineer will lead the development of backend services and APIs, design system architecture, and collaborate closely with teams to evolve the Enterprise platform.

Lead technology projects and a team to design and deliver cloud-based, full-stack and back-end microservices solutions. Collaborate with product managers, mentor engineers, adopt new technologies, and ensure scalable experiences using containers, orchestration, databases, and cloud services.

Lead a portfolio of technology projects and a team of developers to design and deliver cloud-based, full-stack microservices. Mentor engineers, collaborate with product managers, evaluate and write code, and use languages and tools (JavaScript, Java, TypeScript, Python, Go, SQL), container orchestration, and AWS/GCP/Azure to build scalable customer-facing solutions.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

As a Software Engineer, you'll design, build, and maintain IAM solutions, ensuring security and reliability while working with cloud computing standards.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Design and implement backend and real-time features in the GitLab monolith for portfolio planning at scale. Optimize PostgreSQL performance, evolve APIs (GraphQL/REST), build capacity planning and work-item hierarchies, create proofs of concept, maintain automated tests, support safe rollouts with feature flags and observability, mentor contributors, and participate in on-call and production troubleshooting.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

As a Senior Backend Engineer, you will develop APIs, collaborate with various teams, and manage project priorities while ensuring communication is efficient and inclusive.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Lead architecture, development, and operation of scalable, secure backend systems and APIs for real-time, high-traffic applications. Own full lifecycle from design through production, enforce engineering best practices, mentor engineers, and drive reliability, performance, and cross-functional alignment.

Build and maintain high-performance backend services in Go for a low-latency, high-throughput trading exchange. Design distributed systems, optimize performance, improve observability, and collaborate across Product, Data, and Ops to ensure resiliency and scalability.

Develop, test, and improve the OT Security Platform as part of the Microsegmentation Product Team, ensuring high-quality software and architecture.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

The Senior Backend Engineer will enhance data integration infrastructure, manage internal systems, and collaborate with teams to execute engineering tasks for growth initiatives.

As a Senior Software Engineer, you'll own backend systems, mentor team members, and collaborate with product and design to build user-focused solutions.

Build, operate, and scale backend systems for card issuing and transaction processing. Break down projects, collaborate with product and cross-functional teams, write tested extensible code, support monitoring and on-call operations, and participate in team growth activities including interviews.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

The Backend Software Engineer will develop data ingestion pipelines, implement observability tools, and provide technical support while improving team collaboration.

Lead design and delivery of a reliability platform for production systems. Own quarterly goals, guide engineers through ambiguity, collaborate with PM/design/analytics, monitor and operate services (on-call), set quality and code standards, and mentor teammates. Integrate AI/LLM tooling to improve automation, debugging, and service health.