As a Python Backend Engineer, you’ll play a vital role in scaling and maintaining the infrastructure behind our data platform. We deliver high-performance, distributed SaaS solutions that help energy companies make faster, smarter decisions, from pricing to forecasting and analytics. In this role, you’ll contribute directly to the reliability, scalability, and performance of our platform, working on critical backend systems that support millions of data points flowing across teams and products.
You’ll combine hands-on engineering with collaboration across functions to help shape the way we build, deploy, and operate software at Gorilla.
Your RoleYou will join the team responsible for building and evolving the backend of our platform, focusing on data infrastructure, distributed systems, and service reliability. You’ll work closely with product managers, architects, QA, and fellow engineers to deliver robust and scalable backend services that meet the needs of both our internal teams and customers.
Your responsibilities will include:
Collaborate with cross-functional teams to understand business needs and translate them into scalable backend solutions.
Develop and maintain backend software using Python with a focus on performance, reliability, and maintainability.
Implement new features and extend existing systems while maintaining high engineering standards.
Troubleshoot and resolve issues in production, supporting 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.
Proven experience of +5 years as a Backend Engineer in Agile development environments.
Proficiency in Python and familiarity with programming paradigms like object-oriented, functional, and event-driven.
Knowledge of data structures, algorithms, and their practical applications.
Experience working in Unix-based environments, including shell scripting and basic system admin tasks.
Understanding of version control (Git), branching strategies, and code review processes.
Familiarity with AWS and deploying services in cloud environments.
Experience with DevOps practices, CI/CD pipelines, and automation tools.
Basic understanding of networking fundamentals (e.g., TCP/IP, HTTP) and distributed systems.
Experience working with databases and understanding their operational characteristics.
Good problem-solving and debugging skills with strong attention to detail.
Excellent collaboration and communication skills.
Awareness of security best practices in backend development.
A growth mindset with the ability to adapt quickly to new tools and technologies.
