Gorilla - Energy data applications

Backend Engineer

• Designing and scaling the data platform powering pricing, forecasting, and analytics applications.
• Lead architectural decisions across the platform to ensure scalability, reliability, and performance in high-load, data-heavy environments.
• Drive cross-functional technical initiatives with Product Managers, Designers, and Engineers.
• Mentor and support other engineers through design reviews, pair programming, and knowledge sharing.
• Design and build distributed systems handling complex workflows and large volumes of energy data.
• Take ownership of critical components, ensuring quality and resilience.
• Influence technical direction and culture and contribute to strategic planning and roadmaps.

Lead/Staff Backend Engineer

• Scale and maintain infrastructure behind the data platform serving energy companies.
• Deliver high-performance, distributed SaaS solutions for pricing, forecasting, and analytics.
• Contribute to the reliability, scalability, and performance of backend systems handling millions of data points.
• Build and evolve backend focusing on data infrastructure, distributed systems, and service reliability.
• Collaborate with product managers, architects, QA, and fellow engineers to deliver robust backend services.
• Develop and maintain backend software in Python prioritizing performance, reliability, and maintainability.
• Implement new features and extend existing systems while maintaining high engineering standards.
• Troubleshoot and resolve production issues to support platform stability and uptime.
• Review code and contribute to a culture of high-quality, maintainable engineering practices.
• Write documentation for peers and internal users to ensure clarity and knowledge sharing.

Lead/Staff Backend Engineer

Backend Engineer, Python