Senior Software Engineer - Brno,Czechia

Overview

At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI. Our innovative solutions reshape how energy is consumed and managed by offering analytics and insights accessible anytime, anywhere, to help customers make better decisions and provide communities with clean, affordable energy.

The energy industry is changing fast, and Enverus leads the way in energy technology, creating intelligent connections across the entire energy ecosystem—from renewables, power and utilities to oil and gas and financial institutions.

Are you ready to help power the global quality of life? Join Enverus and be part of creating a brighter, more sustainable tomorrow.

As part of the Marginal Unit Team, you will be a key contributor to the fastest growing product line  pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. The team is small, fast-paced, and highly collaborative, valuing engineers who enjoy tackling difficult technical and domain problems while continuously learning from one another.

Engineers on this team own systems end-to-end, including architecture, implementation, observability, reliability, and operational support.

• Build and extend our AI-powered analyst agent, including LLM tool integrations, skill prompt engineering, and structured output pipelines using Claude via AWS Bedrock
• Implement and maintain backend Python services, REST APIs, and asynchronous task execution infrastructure
• Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technologies
• Design and maintain high-throughput data ingestion and processing pipelines
• Contribute to architectural discussions and influence how the team builds reliable, observable AI systems
• Collaborate with power market domain experts to build features requiring deep understanding of both software and the problem space

• BS in Computer Science, or equivalent experience
• 5+ years of software engineering experience, with strong Python backend development
• Experience building or integrating AI/LLM-powered features (tool use, structured outputs, prompt engineering)
• Significant experience working with data-rich applications and pipelines
• Proven success in delivering highly reliable and scalable software systems
• Experience working within and optimizing systems that perform expensive computations
• Experience using Kafka, SQL, and No
  
  SQL databases
• Familiarity with Kubernetes on GCP or AWS
• Experience learning and working in a highly complex domain (financial trading or power systems is a plus)

Python, Go, Rust, Kafka, MySQL, Click House, Kubernetes, Docker, AWS, Argo, Grafana, Sentry, Honeycomb, Terraform, Pulumi, Claude, AWS Bedrock, Lang Chain, Agent Core