Senior Cloud Engineer - FOTA at Faraday Future

Gardena, California, United States

Faraday Future Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, TechnologyIndustries

Requirements

  • MS in Computer Science, Electrical Engineering, or related field
  • 7+ years in backend or distributed systems
  • 3+ years building cloud microservices at scale
  • Strong Java/Spring Boot
  • Solid CS fundamentals in concurrency, networking, and fault tolerance
  • Hands-on with containers and cloud (Docker, Kubernetes; AWS/GCP)
  • API design with gRPC/protobuf and REST
  • Experience with message brokers
  • Data expertise with SQL and NoSQL
  • Familiarity with Cassandra data modeling
  • Security foundations: TLS, codesigning/PKI
  • Proven ownership of production services, on call, and incident response
  • 7+ years of hands-on experience in productionizing platforms and applications
  • Experience with graph databases, timeseries, NoSQL etc
  • Experience with predictive analysis or recommendation systems
  • Experience in building CI/CD framework for the data teams
  • Experience in production support and troubleshooting
  • Preferred Qualifications
  • Automotive experience: ISO 21434/26262, UDS/CAN, A/B
  • File/package delivery at scale: multipart/resumable uploads, S3, CDN, delta updates
  • Observability stack (Prometheus/Grafana/ELK) and APM
  • Familiarity with Node.js services and Angular portals
  • Infrastructure as code (Helm/Terraform) and cost/performance optimization
  • Experience with Kafka Streams or Flink

Responsibilities

  • Design, build, and operate FOTA microservices (campaigns, targeting, packaging, rollout/rollback) using Java/Spring Boot on Kubernetes
  • Implement secure delivery paths and APIs (gRPC/protobuf and REST) over MQTT/HTTP2; support chunking, resume, bandwidth control, and CDN/S3 storage
  • Model data across relational stores; integrate queues/streams (Kafka or MQTT) and cache layers (Redis)
  • Instrument services for observability (metrics, tracing, logs) with clear SLOs; drive reliability via canary/phased rollouts and feature flags
  • Collaborate with firmware/vehicle, mobile, and portal teams; write design docs and lead code reviews and mentoring
  • Automate with CI/CD (Jenkins/Maven/Gradle), comprehensive testing, and runbooks
  • Develop multi-region services, tests, and documentation
  • Evolve system design and architecture to keep up with product's growth and adoption

Skills

Java
Spring Boot
Kubernetes
gRPC
Protobuf
REST
MQTT
HTTP2
S3
Kafka
Redis
Jenkins
Maven
Gradle
CI/CD

Faraday Future

Designs and manufactures electric vehicles and technologies

About Faraday Future

Faraday Future operates in the electric vehicle market, focusing on creating smart and sustainable transportation solutions. The company designs, manufactures, and sells electric vehicles while also providing related services and technologies. Their products include advanced electric vehicles that integrate smart technology, aiming to enhance the mobility experience for both individual consumers and businesses. Unlike many competitors, Faraday Future emphasizes a holistic approach to mobility, combining vehicle sales with future offerings in autonomous driving and connected car technologies. The goal of Faraday Future is to transform how people live and move by creating an integrated mobility ecosystem that improves the quality of life for its users.

Gardena, CaliforniaHeadquarters
2014Year Founded
$3,531MTotal Funding
IPOCompany Stage
Robotics & Automation, Automotive & TransportationIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan

Risks

Reliance on convertible notes may dilute shareholder equity, affecting stock value.
Stiff competition from established EV players could impact Faraday Future's market share.
Regulatory challenges in AI and autonomous driving may delay Faraday Future's technology rollout.

Differentiation

Faraday Future focuses on smart, sustainable transportation solutions with advanced AI integration.
The company targets both individual consumers and businesses with diverse mobility needs.
Faraday Future's FX strategy aims to offer affordable, high-performance AI electric vehicles.

Upsides

Increased consumer interest in luxury EVs boosts demand for models like Faraday Future's FF 91.
AI and machine learning integration in vehicles enhances Faraday Future's product offerings.
U.S. investment in EV infrastructure supports Faraday Future's market growth potential.

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