Job Summary:
Tesla is a leading company in the automotive and energy sector, and they are seeking a Senior Software Engineer for their FinTech Team. In this role, you will be responsible for developing and maintaining systems that support Tesla’s financial operations, including payment processing and financial reconciliation, while integrating AI technologies to enhance efficiency and reliability.
Responsibilities:
• Take ownership of core services within the FinTech ecosystem—spanning payments processing, financial reconciliation, or billing/invoicing—writing high-performance code that scales to handle global transaction volumes
• Architect robust microservices and event-driven workflows, making key technical decisions on data modeling, API design, and consistency patterns like idempotency in financial transactions
• Move beyond theory to practice by integrating LLMs and AI Agents directly into our stack to automate complex tasks like invoice matching, anomaly detection in ledgers, and support triage
• Maintain the health of your services in production using observability tools (Prometheus, Grafana) to ensure 99.99% availability and rapid incident resolution ("You build it, you run it")
• Raise the bar for code quality by conducting thorough code reviews, writing comprehensive tests, and mentoring junior engineers to help them grow their technical skills
• Work closely with Product Managers and Finance counterparts to understand business requirements, such as new market expansions or tax regulations, and translate them into technical specifications
• Help migrate legacy workflows to modern orchestration engines (like Temporal), reducing technical debt and increasing system reliability
Qualifications:
Required:
• Degree in Computer Science, or equivalent experience with 5+ years of hands-on software engineering experience
• Expert-level fluency in backend development with a strong preference for Go (Golang) or C#, though we are open to other modern languages
• Experience building systems that survive hardware failures, with an understanding of concurrency, database locking, caching strategies, and eventual consistency
• Comfortable working with Docker and Kubernetes in a production environment, including configuring CI/CD pipelines (Jenkins, Argo) to ship code safely and frequently
• Practical experience or a strong personal interest in building with AI tools (OpenAI API, LangChain, Vector DBs) and a desire to make non-deterministic AI models reliable enough for financial data
• A pragmatic engineering mindset that prioritizes simple, maintainable solutions over complex over-engineering
Preferred:
• Experience with workflow orchestration tools like Temporal, Cadence, or Airflow is a major plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.