Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own and improve backend services for an AI-native learning platform: build Python/Node.js services, design serverless/cloud-native architectures, implement event-driven workflows and advanced NoSQL models, integrate LLM-based features (RAG, embeddings, vector search), ensure production reliability, observability, testing, and frontend API integrations while collaborating in a cross-functional remote team.

Lead and grow a distributed engineering team to design, build, and operate a cloud-native data platform. Guide architecture, delivery planning, and vendor relationships while contributing hands-on to code and design reviews. Align technical execution with product priorities and ensure security, performance, and reliability of analytics and data systems.

Senior backend engineer building secure, scalable microservice infrastructure. Translate product requirements into technical designs, implement high-availability services, design APIs and schemas, embed security across app/API/infrastructure layers, build observability (metrics, alerts, tracing), collaborate with product/design, and participate in hiring while working remotely.

Design, build, and operate scalable backend systems and APIs across a distributed service-oriented architecture. Own features end-to-end, partner with product stakeholders, ship shared infrastructure, and maintain high code quality. Participate in an on-call rotation and collaborate in a distributed North American team to deliver reliable, high-performance user experiences.

Build and maintain platform systems that provision, secure, and observe isolated agent execution environments. Design reusable primitives for queues, jobs, locks, and service-bus mechanics. Extend Pulumi-based IaC, work with containers, Linux internals, storage, permissions, logging, and runtime debugging. Ship reliable, maintainable infrastructure-driven application code and collaborate in a small cross-functional team.

Design, implement, and maintain scalable, fault-tolerant backend services for real-time data synchronization and streaming. Optimize latency, throughput, and reliability, guide multi-region and disaster-recovery architecture, own projects from concept to production, and improve observability, automation, and incident response.

Design, build, and maintain scalable backend services and APIs; deliver product features end-to-end; maintain integrations; diagnose and resolve performance and reliability issues; improve engineering practices and architecture; support large-scale data ingestion and unified data access layers.

Lead end-to-end delivery of full-stack product and platform initiatives. Design and implement scalable frontend and backend systems, own production reliability and incidents, introduce pragmatic engineering practices, mentor engineers, and drive architecture and tooling decisions to balance speed and long-term maintainability.

Lead design and delivery of scalable, reliable software using C#/.NET, SQL Server, React, and Azure. Own complex initiatives from design through operations, mentor engineers, improve CI/CD, observability, and apply DDD/TDD/VSA practices. Use modern APIs, microservices or modular monoliths, and AI-assisted tooling to improve delivery.

Design and deliver scalable backend systems and APIs, own features end-to-end, drive technical direction, collaborate with product stakeholders, build shared infrastructure, and participate in on-call rotations.