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Sr. Distributed Systems Engineer, Autobidder Platform

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Tesla
Full Time position
Listed on 2026-06-03
Job specializations:
  • Engineering
    Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Overview
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  addition to working on the real-time platform, you will help build out our offline data platform for model training and simulations.

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

Qualifications

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 product ionizing models for low latency operations

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