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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Software Engineering - **Company:** Fervo Energy - **Location:** Houston, TX, United States - **Experience:** Experienced - **Salary:** $269,115.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Applications Architecture, Application Integration Architecture, Application Layers, Business Logic, Microsoft Azure, Code Review, Cyber Security, Continuous Integration, Data Infrastructure, Supervisory Control and Data Acquisition (SCADA), Identity and Access Management, Machine Learning, Quorum, Software Engineering, Software Requirements Analysis, Software Systems, Software Organization, Enterprise Software Applications, Cloud Platform System, Software Security, Software Application Programming, Backend, Microsoft Fabric, Integration Frameworks, Data Management, Api Design, Programming Languages - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/0a9618be-c075-4045-ae62-9dc7573d58d9 ## About the Role Required * 8+ years of software engineering experience, including at least 3 years in a technical leadership or engineering management role * Experience building and deploying production full-stack or backend applications in cloud environments * Strong backend engineering fundamentals, including modern programming languages, API design, authentication and authorization patterns, and production-grade integration design * Hands-on experience integrating applications with modern data platforms or enterprise systems * Experience deploying AI, machine learning, or automation-enabled features into production environments * Demonstrated ability to lead engineering teams, manage technical roadmaps, and make prioritization tradeoffs across competing business needs * Strong product judgment, with a track record of scoping and shipping the simplest useful solution to a real business problem * Ability to work with non-technical stakeholders, understand complex workflows, and translate ambiguous needs into software requirements and deployed systems Strongly Preferred * Experience building applications on ontology-based or semantic data platforms - Palantir Foundry, Microsoft Fabric semantic models, custom ontology frameworks, or similar systems where application logic is expressed against real-world object models rather than raw tables * Energy, industrial operations, or infrastructure sector experience - oil & gas, power generation, mining, or utilities * Production experience building and deploying full-stack applications on Azure (App Service, Functions, AKS, or equivalent) * Familiarity with operational technology data: SCADA, time-series telemetry, or industrial IoT systems * Experience with Enverus or equivalent energy data platforms (OpenInvoice, Quorum, Aucerna) * Startup or high-growth company background where you have built production systems under resource and time constraints * Experience with geospatial data, permitting workflows, or subsurface data management What We're Looking For In the first year, you will have established Fervo's software engineering function as a high-leverage partner to the business. You will have hired and developed a small team, defined the architecture for Fervo's internal application layer, shipped production applications that improve critical workflows, and created a repeatable model for turning business needs into software products. ## Description Fervo is hiring a Director of Software Engineering to build and lead the software organization responsible for our internal application layer. Reporting directly to the CTO, this leader will own the architecture, roadmap, and delivery model for software products that support Fervo's rapidly scaling business. This is an opportunity to build production software at the intersection of energy infrastructure, industrial operations, data, and AI. The systems you build will help teams across Fervo improve workflows, connect information, and make more informed decisions as the company grows. The ideal candidate is both an engineering leader and a product-minded builder: someone who can work closely with internal stakeholders, understand complex business and operational needs, and lead a team that ships durable, high-impact software., * Own the internal application architecture. Define and maintain the architecture for Fervo-built applications, including application patterns, service boundaries, integrations, deployment models, observability, and application-level security. Partner closely with data, IT, cybersecurity, and business stakeholders to ensure Fervo's software ecosystem is scalable, secure, maintainable, and built to evolve with the company. * Build business-facing software products. Lead the development of internal applications that translate data and operational context into clearer workflows, better visibility, and more effective decision-making. These may include workflow tools, reporting systems, dashboards, automation capabilities, and AI-enabled applications. * Work forward-deployed with operational teams. Embed directly with drilling engineers, wellfield operators, power plant technicians, and commercial leads to understand their workflows and pain points. Rapidly prototype and ship MVPs into live production environments, iterate with real users, and bring operational learnings back to the core engineering and data platform teams. * Lead a product-oriented engineering model. Build a software team that works closely with stakeholders across the business to translate ambiguous needs into deployed software. Balance embedded discovery with centralized architecture and engineering discipline so that Fervo's software ecosystem compounds over time. * Build and lead the software engineering team. Hire, manage, and grow a team of full-stack engineers, backend engineers, and product managers. Establish engineering culture, delivery practices, technical standards, and operating rhythms that allow a small, high-leverage team to move quickly while building durable systems. * Advance Fervo's use of AI-enabled applications. Partner with technical and business leaders to identify, prioritize, and deliver practical AI-enabled software capabilities. Focus on production-grade tools that improve workflows, reduce manual effort, and support better decision-making. * Establish engineering standards for the application stack. Set the practices that support high-quality software delivery, including CI/CD, testing, code review, documentation, observability, incident response, and application security. Partner with IT and cybersecurity on identity, access management, infrastructure standards, and enterprise security requirements. * Manage vendor and integration relationships. 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