Senior Software Engineer - 26217
Description
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead 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. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a 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 at Enverus. We pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. Small, fast paced, and highly collaborative, this team values 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 async 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
Work directly with power market domain experts to build features that require deep understanding of both the 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 NoSQL 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)
Technology Stack:
Python, Go, Rust, Kafka, MySQL, ClickHouse, Kubernetes, Docker, AWS, Argo, Grafana, Sentry, Honeycomb, Terraform, Pulumi, Claude, AWS Bedrock, LangChain, AgentCore
This role is eligible for: Variable Compensation