Staff Software Engineer, Faraday Future

• Bachelor’s degree in Computer Science, or related discipline
• 6+ years building and operating production backend systems for consumer, commerce, or growth platforms
• Strong proficiency in Java (Java 17+) and Spring Boot/Spring Cloud (or equivalent backend stack with ability to ramp quickly)
• Solid distributed systems fundamentals: API design, consistency models, concurrency, resilience patterns, and production troubleshooting
• Production experience on cloud infrastructure (preferably AWS) with containers (Docker/Kubernetes) and Infrastructure-as-Code (Terraform/CloudFormation)
• Strong data and messaging experience: relational/NoSQL databases, caching (Redis), and event streaming/queues (Kafka/Kinesis/RabbitMQ)
• Demonstrated ability to improve system performance and reliability in production (e.g., latency reduction, throughput increases, capacity planning, incident-driven hardening)
• Security, quality, and operational rigor: OAuth2/OIDC concepts, secrets/KMS, automated testing (unit/integration), code reviews, and clear documentation (design docs, API contracts)

Desirable

• As a Staff Software Engineer, Backend (Affiliate Platform), you will design, build, and operate backend services and APIs that power our affiliate platform—including tracking & attribution, commission calculation/settlement, partner management, and anti-fraud controls
• You will own critical services end-to-end (design, implementation, testing, deployment, observability, and reliability) and contribute to adjacent backend platform capabilities as needed (e.g. , identity/account, commerce/order/OTD integrations, and analytics instrumentation) across our robotics consumer journey
• You'll build and evolve backend services for affiliate domains: event tracking & attribution, commission rules and settlement, partner onboarding/management, and anti-fraud/abuse controls
• Design and maintain clear, versioned REST/gRPC APIs and partner integration patterns (e.g., webhooks/callbacks), with strong backward compatibility and well-defined contracts
• Implement high-throughput event ingestion and durable workflows using datastores + caching + messaging/streaming, ensuring correctness, scalability, and debuggability
• Ensure settlement-grade correctness for financially sensitive flows: idempotency, reconciliation, audit trails, safe retries, and clear state machines
• Improve performance and reliability: profiling, query optimization, caching strategies, load/capacity testing, latency/throughput tuning, and cost-aware scaling
• Operate services in production with strong observability and reliability practices (logs/metrics/traces, SLOs/alerts, incident response) and safe delivery (CI/CD, canary/blue-green releases, zero-downtime migrations)