Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.
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 Y ou'll D o:
Challenges You'll Face:
What you'll have:
Our Technology Stack:
What We Offer
Not e
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.
This role is eligible for: Variable Compensation
Salary Range: 170000
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 Y ou'll D o:
- 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 technologie
- 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)
Not e
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.
This role is eligible for: Variable Compensation
Salary Range: 170000
Enverus Austin, Texas, USA Office
2901 Via Fortuna, Austin, TX, United States, 78746
Similar Jobs at Enverus
Big Data • Information Technology • Software • Analytics • Energy
The Commercial Title Examiner conducts title searches, resolves defects, and ensures property titles are clear for energy projects, acting as a subject matter expert.
Top Skills:
Integrity Title PlantRamquest
Big Data • Information Technology • Software • Analytics • Energy
Lead client-facing technical engagements for interconnection and transmission planning, deliver trainings and presentations, support sales pursuits, onboard and train users, analyze interconnection study results, troubleshoot client issues, provide product feedback, and deepen client relationships to expand product adoption. Attend industry events and travel ~10%.
Big Data • Information Technology • Software • Analytics • Energy
The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.
Top Skills:
AnalyticsGenerative AiSaaS
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
