Staff Software Engineer

Fremont, CA, US • Posted 1 day ago • Updated 1 day ago

Contract Independent

Contract W2

On-site

$50 - $60/hr

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

API
Accounts Receivable
Artificial Intelligence
Banking
Billing
C#
Computational Finance
Continuous Integration
Docker
Finance
Financial Software
Fraud
Golang
Grafana
Information Technology
Innovation
Invoices
Jenkins
Kubernetes
LangChain
Large Language Models (LLMs)
Orchestration
Payment Processing
Payments
Programming Languages
Prompt Engineering
Software Engineering
System Administration
Systems Design
Hosting
IT Strategy

Summary

seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. You will drive disruptive innovation in our AI-first transformation, architecting hyper-scale systems for payments, reconciliation, billing, invoicing, and accounts receivables that handle billions in annual revenue. This involves collaborating with cross-functional teams including product, finance, engineering, and operations to gather requirements and develop solutions aimed at reducing friction for internal and external customers.

In this role, you will operate in various segments including fraud, disbursements, and visibility, while evolving our platforms to support Tesla's next era of Robotaxi and Optimus expansion. You will prototype with new technologies (e.g., LLMs, Agents, Temporal) and champion their usage to ease developer cognitive load and system operations. This is a high-impact role for a pragmatic engineer motivated to fuel Tesla's sustainable future through cutting-edge, autonomous workflows.

What You ll Do

Design, develop, and maintain scalable and efficient payment processing and financial systems for Tesla's products and services, ensuring 99.99% uptime
Lead the architecture of core FinTech infrastructure, encompassing payments, reconciliation, billing, invoicing, and accounts receivables systems from 0 to 1 with an AI-first vision
Develop and maintain API integrations with third-party payment processors, banks, and other financial institutions to facilitate global market complexities
Identify and incorporate AI Agents and Large Language Models to increase automation in payments, billing, and reconciliation tasks, reducing operational toil
Implement orchestration engines for reliability and human-in-the-loop workflows across FinTech platforms
Mentor junior and senior engineers, contributing to the overall growth of the engineering team and driving best practices in system design and code quality
Collaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impact, directly addressing pain points for internal and external stakeholders
Improve the reliability and observability of FinTech platforms, including setting up distributed tracing, logging, and metrics pipelines for billing accuracy
Stay up to date with the latest trends in the payments and software engineerin industry to identify new opportunities and drive innovation, especially where AI and operational scale intersect

What You ll Bring

Degree in Computer Science, Information Technology, Software Engineering, or related field, or equivalent experience
8+ years of professional software engineering experience, including designing and operating production distributed systems at scale
Strong proficiency in modern backend programming languages, with a specific preference for Go (Golang) or C#
Solid Computer Science fundamentals and experience with CI/CD (Jenkins, Argo), containerization (Docker, Kubernetes), and observability tools (Prometheus, Grafana)
Experience building AI agents or integrating intelligent systems (LLMs, prompt engineering) into real-world applications using platforms like OpenAI, HuggingFace, LangChain, or LlamaIndex
Hands-on experience with workflow orchestration platforms (e.g., Temporal) and self- hosting complex infrastructure components in high-availability environments
Demonstrated ability to architect and maintain distributed systems, with deep familiarity in service deployment and infrastructure operations
Proven track record of handling global-scale complexities, such as multi-market payments and high-uptime requirements in mission-critical systems
Familiarity with emerging AI technologies or tools for automation in financial workflows is highly desirable

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90769335A
Position Id: 8919302
Posted 1 day ago

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