Top Remote Backend Engineer Jobs in Los Angeles, CA

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Build and operate Affirm’s AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Design, develop, and maintain scalable backend applications using PHP and Laravel. Build RESTful APIs, PostgreSQL schemas and queries, third-party integrations, automated tests, and Dockerized services across AWS. Monitor application health, troubleshoot defects, participate in code reviews, improve CI/CD workflows, and document technical processes. Collaborate with product, frontend, QA, and DevOps teams in a remote Agile/Scrum environment to deliver reliable software supporting clinical workflows.

Develop and maintain backend services and APIs for LabArchives ELN, inventory, and scheduler products. Build primarily with Node.js while contributing to Ruby on Rails code, database development, testing automation, security reviews, and performance evaluations. Collaborate with product, operations, support, and frontend teams to plan, develop, test, and release scalable features. The role requires strong backend and database expertise, API design knowledge, and cross-functional communication.

Leads architecture, development, deployment, and operations for Python backend services supporting internal penetration testing. Designs scalable ETL pipelines, distributed workflows, relational data models, SQL queries, GraphQL APIs, and graph-based attack-path data systems. Owns reliability, observability, performance, and production operations while coordinating cross-team initiatives. Provides technical direction, writes architecture documentation, mentors engineers, and partners with frontend, product, data, and attack teams to deliver customer-facing security results.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Develop backend tools and systems that improve batch development, testing, workflow efficiency, and reliability. Collaborate with product, infrastructure, design, and analytics teams; break projects into deliverable phases; build scalable, well-tested code; monitor metrics; support system availability and on-call operations; debug code; conduct reviews; and contribute to engineering growth and hiring activities.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, microservice-based systems; identify bottlenecks; improve reliability, scalability, and business logic; and contribute to modernization and architectural decisions. Work independently across the stack, communicate technical trade-offs, mentor junior developers, and use AI and automation tools to improve engineering outcomes.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Design and scale asynchronous Python backend systems, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Own relational data models, observability, performance, CI/CD, and production deployment. Establish AI governance covering code review, provenance, licensing, security, compliance, and customer data handling. Drive ideas from concept through production while owning architecture and outcomes.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.

Develop and maintain Salesforce Commerce Cloud ecommerce websites, integrations, feeds, and platform features. Design architecture, troubleshoot performance and caching, manage domains and repositories, ensure platform compliance, mitigate project risks, and optimize site infrastructure. Collaborate with agencies and cross-functional teams while developing and mentoring junior engineers.