Sr. Distributed Systems Engineer, Autobidder Platform

Description:
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.

Responsibilities:
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

Requirements:
A passion for sustainable energy
Proven ability to define and develop products
Proven ability to develop and operate resilient systems, embedded and/or cloud
Excellence in a couple of languages (e.g., Scala and Python) and proficiency in others
Comfortable in a Linux environment
Proven ability to work across the stack in a fast-paced environment
Proven ability to collaborate and design software solutions with multiple stakeholders
Degree in Computer Science, Engineering, or equivalent experience
Bonus: familiarity with building ETL pipelines, model training workflows, and productionizing models for low latency operations