As a Finance Systems Engineer at SF Compute, your primary responsibilities encompass designing and building the trading system infrastructure. You'll create proprietary data feeds and price indices to establish market prices for GPU capacity, develop fault-tolerant systems, and implement financial reporting pipelines essential for operations across various jurisdictions. Your role will also involve collaborating with financial partners to design futures contracts and predictive pricing algorithms, ensuring that your work directly influences market dynamics.

To qualify for the Finance Systems Engineer role at SF Compute, candidates should possess strong engineering skills with a focus on building scalable systems. Experience in developing highly fault-tolerant applications is crucial, alongside a background in finance or trading. A proven history of shipping products to production with real user traffic and familiarity with programming languages like Rust would be advantageous. Additionally, candidates who have previously worked at startups or collaborated on financial projects will find themselves well-suited for this role.

SF Compute provides a comprehensive benefits package for its Finance Systems Engineers, including a generous equity grant, competitive salaries, and visa sponsorships for international candidates. Employees enjoy a retirement matching program, full medical, dental, and vision insurance coverage, unlimited paid time off, and daily lunches. In addition, employees have an unlimited office book budget, supporting continuous learning and personal development.

The Finance Systems Engineer role at SF Compute is pivotal in actualizing our mission to democratize compute trading. By building robust trading systems and developing essential financial processes, you will directly affect the efficiency and transparency of the trading marketplace. Your work ensures that buyers and sellers can engage in real-time transactions, making compute hours accessible and affordable, thereby redefining how computing resources are managed in the industry.

The company culture at SF Compute for Finance Systems Engineers is vibrant, collaborative, and innovative. We emphasize agility and speed, encouraging our engineers to experiment and ship new ideas quickly. Our team values open communication and diverse perspectives, fostering an environment where everyone can contribute to big-picture goals while developing their skills. With generous policies on time off and a commitment to work-life balance, we strive to create a supportive workplace where creativity thrives.

When answering this question, highlight specific projects or systems you've worked on that required high availability and reliability. Discuss the techniques you used, such as redundancy, load balancing, or error handling mechanisms, and how these approaches impacted performance and user experience.

In your response, outline your experience with data integration and transformation processes. Discuss any tools or technologies you've used, such as ETL frameworks, database management systems, and how you ensure data accuracy and compliance with regulations.

Share your knowledge of various pricing strategies, including market-based pricing and cost-plus pricing. Discuss any experience you have in developing algorithms to forecast prices based on market trends or demand and how these models can be applied in a trading environment.

Use the STAR method (Situation, Task, Action, Result) to detail a specific challenge you've encountered in your engineering career. Highlight the steps you took to overcome the challenge and the successful outcomes that followed, emphasizing teamwork and problem-solving skills.

In your answer, mention specific resources such as industry blogs, podcasts, online courses, or professional organizations you engage with. Emphasize the importance of continuous learning and how this knowledge helps you innovate in your role as a Finance Systems Engineer.

Describe your process from gathering requirements and analyzing user needs to designing, building, testing, and deploying the feature. Highlight collaboration with cross-functional teams and how you ensure flexibility and scalability in the implementation.

List specific monitoring tools and frameworks you are familiar with, such as Grafana, Prometheus, or New Relic. Explain how you have used these tools to ensure system health and optimize performance, along with any challenges you've addressed through monitoring.

Discuss various aspects of security you consider crucial, such as data encryption, secure transactions, and compliance with regulations. Emphasize the importance of implementing security measures throughout the development lifecycle and how they protect both the company and its clients.

Outline your systematic approach to debugging, starting with understanding the problem, isolating the issue, and using tools and logs to diagnose effectively. Provide an example that showcases a successful debugging experience and how you resolved it.

This is your chance to convey your passion for the company’s mission. Mention specific aspects of SF Compute that resonate with you, such as the innovative approach to compute trading, startup culture, and opportunities for professional growth. Share how your interests align with the company's goals and culture.