Top Backend Engineer Jobs in Boston, MA

Lead back-end engineer building infrastructure to process, store, and expose large heterogeneous datasets. Deploy analytic components on on-prem and cloud, collaborate with algorithm developers and users, lead cross-functional teams, and transition systems to partner organizations while operating in a classified environment.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

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.

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

Design and implement backend solutions that support hardware development at WHOOP, creating tools for hardware integration and managing data pipelines.

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.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build, maintain, and support backend services and APIs powering member-facing features using Java, Kafka, Postgres, and AWS. Collaborate cross-functionally, write well-tested code, troubleshoot production issues, decompose features into tasks, and contribute to technical documentation.

Design and implement scalable backend services and APIs for WHOOP's internal operations, collaborating with cross-functional teams to enhance efficiency.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The role involves designing and implementing backend systems, driving initiatives, improving performance and scalability, and mentoring engineers while ensuring collaboration with cross-functional teams.

Design, develop and maintain backend systems for WHOOP's platform, ensuring scalability, security, and performance while collaborating across teams.

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.

As a Software Engineer II, you will develop backend services using Java and AWS technologies, collaborating with cross-functional teams to build scalable healthcare solutions.

Design and implement backend systems for business operations at WHOOP, ensuring reliability, performance, and scalability. Collaborate with stakeholders and mentor engineers.

As a Backend Engineer, you'll improve Git and Gitaly by contributing features, bug fixes, and performance improvements, collaborating with the open source community, and participating in architectural discussions.

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 Backend Engineer II will design, build, and maintain backend services for financial workflows, collaborating with product and engineering teams to enhance system reliability and performance.

Design, build, and own backend services for prediction markets across market lifecycle: creation, trading, oracle resolution, settlement, and payouts. Build low-latency, high-throughput microservices and event-driven systems, drive reliability via SLOs and observability, lead incident response, set technical standards, and mentor engineers while partnering cross-functionally to deliver product and compliance-aligned roadmaps.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Design, build, deploy, and operate scalable backend APIs that bring ML audio models to market. Collaborate with product and engineering teams, improve system reliability and performance, mentor peers, and establish architectural foundations for growth.

Design and implement high-performance backend systems in Rust, optimize architectures, participate across the development lifecycle (debugging, testing, optimization), integrate third-party devices and data, incorporate AI tools, mentor senior engineers, and lead architectural and technical strategy across teams.

Design, implement, and optimize high-performance backend systems in Rust for an xOT security platform. Participate across the development lifecycle—debugging, testing, and performance tuning—while integrating relational and NoSQL data stores, microservices, third-party devices, and AI tools. Provide technical leadership, code review feedback, and promote secure, reliable, observable distributed systems.