
Hi there, we are Gorilla. We are a software scale-up shaping the future of energy retail. Our mission is to empower enterprises to unlock the power of their data, with data-driven pricing, forecasting and reporting solutions that streamline operations and lower risk.
11 - 50 employees
Founded 2018
April 17

Hi there, we are Gorilla. We are a software scale-up shaping the future of energy retail. Our mission is to empower enterprises to unlock the power of their data, with data-driven pricing, forecasting and reporting solutions that streamline operations and lower risk.
11 - 50 employees
Founded 2018
• Join Gorilla and help shape the digital backbone of the energy transition. • As a Lead/Staff Backend Engineer, you'll play a pivotal role in designing and scaling our data platform. • We're committed to delivering high-performance, data-intensive SaaS solutions that help our clients maximize ROI. • You’ll work at the intersection of deep technical expertise and strategic thinking. • You're responsible for evolving and scaling the core API and data systems that support our pricing, forecasting, and analytics applications. • Balance hands-on development with strategic contributions across teams. • Lead architectural decisions, ensuring scalability, reliability, and performance in high-load, data-heavy environments. • Drive cross-functional technical initiatives with Product Managers, Designers, and fellow Engineers. • Mentor and support other engineers, fostering technical growth and best practices.
• Expertise in Python • Extensive experience with relational databases and data modeling for high-throughput systems. • Deep understanding of distributed systems design and the trade-offs involved in consistency, availability, and partition tolerance. • Proven track record of working on data-intensive and high-load backends, ideally within SaaS environments. • Familiarity with cloud platforms, especially AWS, and experience with infrastructure-as-code and container orchestration. • Strong architectural intuition and ability to drive clarity in ambiguous, complex technical situations. • Leadership experience through mentoring, leading initiatives, or shaping engineering practices across teams. • Experience in defining and improving DevOps pipelines, observability, and platform reliability. • Strong communication skills and a collaborative mindset—able to build alignment across stakeholders. • Proactive and pragmatic: able to balance technical excellence with delivery impact.
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