Director, Internal Software & AI Platforms

Fervo Energy; Oakland (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Fervo Energy, based in Oakland, is seeking a Director of Software Engineering to lead the development of internal applications that enhance workflows and decision-making. This role involves overseeing the architecture and delivery of software products while building a skilled engineering team.

The ideal candidate should have over 8 years of software engineering experience with a strong focus on cloud environments and a technical leadership background. Emphasis on AI and integration capabilities is crucial for improving operational efficiency.

Qualifications

• 8+ years of software engineering experience, including at least 3 years in technical leadership.
• Experience building and deploying full-stack or backend applications in cloud environments.
• Strong fundamentals in backend engineering and API design.

Responsibilities

• Own the internal application architecture and maintain scalable designs.
• Lead the development of internal applications for better decision-making.
• Work with operational teams to understand workflows and pain points.
• Build a product-oriented software team that translates needs into software.
• Advance the use of AI in applications and improve workflows.
• Set engineering standards for software delivery practices.
• Manage relationships with software vendors and integration partners.

Skills

Software engineering experience

Technical leadership

Backend engineering fundamentals

Cloud application deployment

AI and machine learning integration

Job description

Fervo Energy, based in Oakland, is seeking a Director of Software Engineering to lead the development of internal applications that enhance workflows and decision-making. This role involves overseeing the architecture and delivery of software products while building a skilled engineering team.

The ideal candidate should have over 8 years of software engineering experience with a strong focus on cloud environments and a technical leadership background. Emphasis on AI and integration capabilities is crucial for improving operational efficiency.