Distributed Systems Engineer, Autobidder Platform (Energy Software)

4 Months ago • All levels • Devops

Job Summary

Job Description

Develop and maintain highly available, low-latency distributed services for the real-time Autobidder platform. This platform automates data ingestion, forecasting, optimization, market bidding, monitoring, and real-time energy dispatch for industrial battery sites and Tesla Virtual Power Plants (VPPs). Scale infrastructure to support hundreds of gigawatt-hours globally, ensuring performance, resilience, and fault tolerance. Build offline data platforms for model training and simulations. Collaborate with algorithm engineers and market operations. Contribute to operational and engineering excellence. The role involves designing, developing, and maintaining distributed systems, building offline tooling, and collaborating with various stakeholders to deliver Autobidder solutions in new markets.
Must have:
  • Experience with Scala, Akka, Kubernetes, and Python
  • Expertise in developing and operating resilient systems
  • Ability to work across the stack in a fast-paced Linux environment
  • Excellent coding skills (Scala and Python)
  • Collaboration and design skills with multiple stakeholders
Good to have:
  • Familiarity with building ETL pipelines
  • Experience with model training workflows and productionizing models

Job Details

What to Expect

In this role, you will develop and maintain distributed, highly available, low-latency services that power the real-time Autobidder platform. This platform provides automated data ingestion, forecasting, optimization, market bidding, monitoring, and real-time energy dispatch for a growing fleet of large industrial battery sites powered by Tesla Megapacks, as well as Tesla Virtual Power Plants (VPPs). You will play a key role in scaling our infrastructure to support hundreds of gigawatt-hours globally, ensuring performance, resilience, and fault tolerance at scale. In addition to working on the real-time platform, you will help building out our offline data platform for model training and simulations.

Our team is comprised of engineers who are passionate about distributed systems, scaling, and functional programming, working primarily with Scala, Akka, Kubernetes, and Python. We collaborate closely with algorithm engineers and market operations to rapidly iterate and improve the platform. 

This role offers the opportunity to make a direct impact in the sustainable energy space while tackling complex engineering challenges.

What You’ll Do
  • Design, develop, maintain, and operate highly available distributed software systems
  • Design and develop offline tooling and simulation platforms
  • Develop systems and tooling that enable market operations at various levels of automation
  • Collaborate with algorithms engineers and trading analysts to deliver Autobidder solutions in new markets
  • Collaborate with algorithm engineers to design solutions around new algorithmic trading strategies
  • Contribute to a culture of operational and engineering excellence
  • Learn fast and have a bias for taking action
What You’ll Bring
  • Degree in Computer Science, Engineering, or equivalent work experience
  • Excellence in two (or more) coding languages, e.g. Scala and Python
  • Proven ability to define and develop products, with expertise in developing and operating resilient systems (embedded and/or cloud)
  • Proven ability to work across the stack in a fast-paced Linux environment
  • Proven ability to collaborate and design software solutions with multiple stakeholders
  • A passion for sustainable energy

 

Preferred, additional (bonus) skills:

  • Familiarity with building ETL pipelines, model training workflows, and productionizing models for low latency operations

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