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Staff Software Engineer, Backend (Affiliate Platform)

Faraday Future
CompanyFaraday Future
CategoryEngineering
LocationEl Segundo
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted14 Apr 2026
Last verified4 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
The Company: Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact. Your Role: 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. Key Responsibilities: 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). Basic Qualifications:    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). Preferred Qualifications: Direct experience with affiliate/partner platforms: attribution models, partner reporting, commission configuration, payout lifecycle, and dispute/reconciliation workflows. Experience building anti-fraud/abuse systems (e.g., referral abuse, click spam, bot traffic), including rule-based controls and signal-driven detection. Experience supporting adjacent platform services beyond affiliate (identity/account, commerce/order/OTD integrations, analytics/telemetry instrumentation). Robotics industry background (strong plus): robotics/smart hardware ecosystems where digital platforms support
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