Staff Software Engineer - 26218

Pearl Street Technologies; Pittsburgh (Allegheny County); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Plan

Retirement Savings Plan 401(k)

Job summary

Enverus is seeking a Backend Platform Engineer at Staff/Principal level to drive AI-powered infrastructure, high-throughput data pipelines, and scalable back-end systems in a fast-paced energy analytics platform. You will own end-to-end architecture, collaborate with product and data science teams, and help shape engineering standards across the Marginal Unit Team.

You should have strong experience with Python/Go/Rust, Kafka, Kubernetes, cloud deployments (AWS/GCP), and a track record of

Qualifications

• BS in Computer Science, or equivalent experience.
• Significant experience with data-rich applications and pipelines.
• Experience in a highly complex domain (financial trading or power systems is a plus).
• Proven success delivering reliable and scalable software systems.
• Experience building backend applications using Python, Go or Rust.
• Experience using Kafka, SQL and No-SQL databases.
• Familiarity with Kubernetes on GCP or AWS.

Responsibilities

• Integrate AI-powered infrastructure and capabilities into our products.
• Design and maintain high-throughput data ingestion and processing pipelines.
• Build and support complex computing algorithms and infrastructures.
• Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technology.
• Lead architectural initiatives and influence engineering standards across team.

Education

BS in Computer Science

Tools

Kafka

Kubernetes

Docker

AWS

Argo

Grafana

Sentry

Honeycomb

Terraform

Pulumi

Langchain

Claude

Bedrock

Job description

Description

Backend Platform Engineer (Staff / Principal Level)

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.

As part of the Power & Energy Transition business unit, you’ll work on systems that support congestion analysis, forecasting, and grid optimization for renewable energy markets. Our platform combines distributed systems, machine learning, complex power flow analysis and optimization models with high-throughput data processing to deliver critical insights in real time.

We’re looking for engineers who enjoy solving difficult infrastructure and platform problems while collaborating closely with product, data science, and domain experts.

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.

What You’ll Do:

• Integrate AI-powered infrastructure and capabilities into our products

• Design and maintain high-throughput data ingestion and processing pipelines

• Build and support complex computing algorithms and infrastructures

• Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technology

• Lead architectural initiatives and influence engineering standards across team

Challenges You’ll Face:

• Highly complex domain (the power grid itself, and the markets that sit on top of it)

• Continuously evolving solution stack on the frontier of AI development

• Stability and observability of a distributed system involving dozens of semi-independent services

• Maintaining performance while working with complex computations on large-scale real-time data

What you’ll have:

• BS in Computer Science, or equivalent experience

• Significant experience working with data rich applications and pipelines

• Experience learning and working in a highly complex domain (financial trading or power systems is a plus)

• Proven success in delivering highly reliable and scalable software systems

• Experience working within and optimizing systems that perform expensive computations

• Experience building backend applications using Python, Go or Rust

• Experience using Kafka, SQL and no-SQL databases

• Familiarity with Kubernetes on GCP or AWS

Our Technology Stack:

• Python, Go, Rust

• Kafka, MySQL, ClickHouse

• Kubernetes, Docker, AWS, Argo

• Grafana, Sentry, Honeycomb

• Terraform, Pulumi

• Claude, AWS Bedrock, Langchain, AgentCore

What We Offer

• Fast paced environment with a strong team and interesting products

• Competitive Compensation Package

• Medical, Dental, and Vision Plan

• Retirement Savings Plan 401(k)

Scope and expectations will be calibrated based on experience level. Principal-level candidates are expected to drive technical strategy across multiple teams and influence architecture at organizational scale.