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Enverus is the leading energy SaaS company delivering highly-technical insights and predictive/prescriptive analytics
The Role
Design, build, and own backend Python services, high-throughput data ingestion pipelines, and AI/LLM-powered analyst agents (LLM tool integrations, prompt engineering, structured outputs). Contribute to architecture, observability, reliability, and operational support while collaborating with domain experts and optimizing compute-heavy systems.
Summary Generated by Built In
Description
Why YOU want this position
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, 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.
The Team:
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.
Performance Objectives
Competitive Candidate Profile
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
Why YOU want this position
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, 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.
The Team:
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.
Performance Objectives
- 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
Competitive Candidate Profile
- 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
Skills Required
- 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)
- Experience designing and maintaining high-throughput data ingestion and processing pipelines
- Proven success delivering highly reliable and scalable software systems
- Experience optimizing systems that perform expensive computations
- Experience using Kafka, SQL, and NoSQL databases
- Familiarity with Kubernetes on GCP or AWS
- Experience working in a highly complex domain (financial trading or power systems) is a plus
What the Team is Saying
Michael
Sr. Account Director
Melwyn
Director of Product
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The Company
What We Do
Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. Enverus is a portfolio company of Hellman & Friedman and Genstar Capital.
Why Work With Us
We are guided by our Core Values: One Team, Partners for Life, Courageous Innovation. Our goal is to foster a culture that’s inclusive, fun and encourages our teammates to grow, personally and professionally. At Enverus, we are a family, and our people will always be our most important asset.
Gallery
Enverus Offices
Remote Workspace
Employees work remotely.
Typical time on-site:
None
