Staff Software Engineer (Backend)

Faraday Future•Gardena, CA

63d

About The Position

As a Staff Software Engineer (Backend) in our Crypto projects, your scope spans architecture, implementation, and operations for the BFF and core backend platforms supporting the official website and related platform systems. You’ll drive architecture, implementation, and operations across microservices, APIs, messaging, data pipelines, and cloud infrastructure—setting engineering standards for reliability, scalability, security, and extensibility.

Requirements

Bachelor’s degree or above in Computer Science, Software Engineering, or a related discipline.
7+ years building and operating production backend systems; 3+ years driving multi‑service technical delivery or architecture as an individual contributor.
Strong proficiency with Java (Java 17+), Spring Boot/Spring Cloud, distributed systems, and REST/gRPC API design.
Production experience on AWS (EKS/ECS, Lambda, API Gateway, CloudFront, S3, RDS/Aurora or DynamoDB, ElastiCache/Redis) and Infrastructure‑as‑Code; containerization with Docker/Kubernetes.
Data and messaging expertise with relational/NoSQL stores, Redis, and streaming/queues (Kafka/MSK or RabbitMQ/Kinesis).
Reliability/performance/security mindset: SLO/SLA design, Open Telemetry observability, secure design (OAuth2/OIDC, secrets/KMS), and automated testing (JUnit, Test containers; contract/load testing).
Clear technical communication; ability to produce API specs and interface agreements and to guide teams toward high‑quality, incremental releases.

Nice To Haves

Professional working proficiency bilingual in Mandarin.
Platform domains: identity & access (OAuth2/OIDC, RBAC; Cognito/Okta/Keycloak), payments integration, API gateway & rate‑limiting.
Architecture & tooling: microservice patterns (sagas/outbox, resilience4j), service discovery/mesh (Nacos/Eureka/ZooKeeper; Istio/Linkerd), gRPC; Dubbo is a plus.
yData & analytics: event streaming (Kafka/Flink) and batch workflows (Airflow/Spark); schema design, query tuning, and data lakes on S3.
DevOps & delivery: GitHub Actions/GitLab CI/Jenkins; policy‑as‑code; GitOps/Helm; zero‑downtime migrations.
Observability & SRE: Prometheus/Grafana or Datadog/New Relic; alerting and incident response; capacity planning; performance testing (k6/JMeter).

Responsibilities

Platform Architecture & Ownership: Define domain driven, modular service architecture; establish API/BFF patterns, versioning, and contracts; produce ADRs and reference implementations.
Service Development & Operation: Build high performance services in Java 17+/Spring Boot/Spring Cloud; expose REST/gRPC (and WebSocket where needed); ensure backward compatibility and graceful degradation.
Data & Messaging: Model data in relational/NoSQL stores; apply caching (Redis); design event driven workflows with Kafka/MSK or RabbitMQ (saga/outbox, idempotency, retries, backpressure).
Cloud & Delivery: Ship on AWS using Docker/Kubernetes and IaC (Terraform/CloudFormation); enable trunk-based development, blue/green or canary releases, and zero downtime migrations.
Reliability & Observability: Set SLOs/error budgets; instrument with Open Telemetry (logs/metrics/traces); lead incident response, capacity planning, and performance/load testing (k6/JMeter).
Security & Compliance: Enforce OAuth2/OIDC, service to service auth (mTLS), secrets/KMS, and least privilege access; integrate security checks into CI/CD; maintain auditability.
Collaboration & Mentorship: Partner with Product, Web/Mobile, and Data teams to align interfaces and SLIs/SLOs; mentor engineers through design/code reviews.