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Founding Engineer

Job Overview

Location

Munich

Job Type

Full-time

Category

Engineering

Date Posted

August 8, 2026

Full Job Description

đź“‹ Description

  • • Join a small, ambitious team building the core software platform that controls and optimises industrial battery storage assets across Europe.
  • • As a Founding Engineer, you will have outsized ownership across the full stack — from real-time optimisation algorithms and backend services to operator-facing dashboards and cloud infrastructure.
  • • Your work will directly shape both the product and the trajectory of the company at a critical early stage.
  • • This is an on-site, full-time position based in Munich, Germany.
  • • Visa sponsorship is available.
  • • Own and build the core product powering real-time optimisation and forecasting for industrial energy assets.
  • • Develop backend services and mixed-integer optimisation algorithms to process high-frequency data in real time.
  • • Design and scale distributed infrastructure to support thousands of battery systems in production.
  • • Build intuitive frontend dashboards that allow battery operators to monitor, control, and analyse their assets.
  • • Implement containerised, CI/CD-driven deployment pipelines and maintain production observability.
  • • Collaborate directly with founders and customers to define product features and translate operational requirements into engineering solutions.
  • • Iterate rapidly based on feedback from live deployments.
  • • Required:
  • • Experience with real-time data processing and optimisation or forecasting systems.
  • • Proven ability to design and operate scalable distributed backend systems for large-scale deployments.
  • • Solid Python backend development skills, including mixed-integer optimisation.
  • • Frontend development proficiency with JavaScript/TypeScript and React (Next.js preferred); experience with Tailwind CSS.
  • • Containerisation and modern deployment practices — Docker, Kubernetes, and CI/CD for production services.
  • • Experience with observability and monitoring tooling (e.g. Prometheus, Grafana, OpenTelemetry).
  • • Database design and data modelling experience (e.g. PostgreSQL or MySQL).
  • • Cloud infrastructure experience with AWS, GCP, or Azure.
  • • Startup experience (company under 3 years old and fewer than 50 employees qualifies).
  • • Bachelor's or Master's degree in Computer Science, Mathematics, or Electrical Engineering with a grade better than 2.0 (German grading scale).
  • • Fluency in German — the majority of customers communicate in German.
  • • Nice to Have:
  • • Background or hands-on experience in the energy industry (battery storage, renewables, grid management, or similar).
  • • Demonstrated track record of deploying optimisations in live production systems.
  • • Compensation & Benefits:
  • • Salary: €70,000 – €100,000 per year, depending on experience.
  • • Founding-stage equity and meaningful ownership in the company's success.
  • • High-impact role with direct influence over product and company direction.
  • • Visa sponsorship available for qualified candidates.
  • • LOCATION
  • • This is a fully on-site role in Munich, Germany. You will be working day-to-day with a tight-knit founding team in the office.

Skills & Technologies

Python
JavaScript
TypeScript
React
Next.js
Onsite
€70k-100k
Degree Required

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About Clera

Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.

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