Top Backend Engineer Jobs in Los Angeles, CA

The Marketing Backend Developer will build and maintain backend services and APIs for marketing operations, ensuring reliable data flow and system integrations, with a focus on performance and scalability.

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.

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

The Backend Engineer will design and maintain backend systems, contribute to system reliability and performance, and collaborate cross-functionally while taking ownership of projects.

Design and build microservice-based APIs for reporting and analytics. Manage projects and collaborate with teams to enhance API developer experience, ensuring code quality and production reliability.

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 an Engineer II for Backend APIs, you'll design, develop, and test APIs for the Reporting & Insights team, collaborating closely with product and engineering teams. Your role involves ensuring high code quality, ownership of services in production, and leveraging AI tools in development.

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.

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.

Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.

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.

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.

Responsible for leading a team to improve developer productivity, managing projects, and ensuring high-quality code delivery while collaborating across teams.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, ensure availability, scalability, operational excellence, and cost management. Build, test, debug, and participate in incident resolution while leveraging AI tools to accelerate development and maintain secure, production-ready code.

Design, build, test, and maintain backend services and APIs for an insurance platform. Integrate external services and data providers, improve system stability, performance, and scalability, participate in architecture discussions, mentor teammates, and support internal tooling and deployment practices.

The Staff Back End Engineer will lead engineering practices, analyze problems, build scalable services, and maintain data pipelines. They will also mentor team members and foster communication while delivering impactful solutions.

The role involves leading backend development, collaborating on system design, and ensuring technical excellence while working on healthcare technology solutions.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

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.

Seeking a backend developer and DevOps hybrid to build tech infrastructure for the Dreamwave events platform, focusing on Node.js and GCP services.

Build and maintain backend services and APIs for onboarding, accounts, payments, cards, transfers, rewards, FX, KYC and risk. Design reliable, secure, observable systems, integrate with partners and AI services, ensure data integrity and incident handling, and collaborate with product and frontend teams to launch and improve financial products at scale.

The Backend Engineer will build a multi-cloud inference platform and manage distributed systems for AI model deployment while ensuring operational excellence and low toil services.