18 beste Stellen als cloud engineer in gilching, by – aktuell auf Personalsuche

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Sogeti —München
- Per E-Mail
- Azure
- Englisch
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Epsilon —München
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Landesamt für Digitalisierung, Breitband und Vermessung —München
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OMMAX GmbH —München
- Azure
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Allex Projects GmbH —München
- Machine Learning
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Bliro GmbH —München
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Senior DevOps Engineer (m/w/d) aka "Senior Sky Mechanic"
Byte - Bayerische Agentur für Digitales GmbH —München
- Vollzeit
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- Informatik
- Englisch
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Senior DevOps Engineer (w|m|d)
CraftingIT GmbH —München
- Vollzeit
- Azure
- DevOps
- Englisch
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
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Titel Principal DevOps Engineer (all genders)
Expleo Group —München
- Azure
- Informatik
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- Gleitzeit
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Solution Architect - Agile Teams
Altium —München
- Vollzeit
- Bachelor
- Mit Reiseanteil
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- Kostenloser Parkplatz
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Forward Deployed Engineer - EMEA
Tulip Interfaces —München
- Projektmanagement
- Ohne Hochschulabschluss
- Mit Reiseanteil
- Kostenbeteiligung am Arbeitsweg
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Platform Engineer - Neuraverse (Mensch)
Neura Robotics GmbH —München
- Vollzeit
- Englisch
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HCM4all GmbH —München
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(Senior) MLOps Engineer (m/w/d)
OMMAX GmbH —München
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Senior Forward Deployed Engineer | Germany
supermodular.ai —München
- Vollzeit
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- APIs
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Working Student CodeCraft Software Development Infrastructure (f/m/x)
BMW —München
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Platform Engineer - Neuraverse (Mensch)
Neura Robotics —München
- Vollzeit
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cloud engineer jobs near gilching, by

Founding Engineer

Clera
München

Direkt bewerben

Details zur Stelle

Vollzeit
70.000 € – 95.000 € pro Jahr
vor 1 Tag

Qualifikationen

Cloud-Infrastruktur
Cloud-Architektur
AWS
Python

Vollständige Stellenbeschreibung

About the Role

A fast-growing pre-seed cleantech startup in Munich is hiring its first engineering hire — a Founding Engineer who will work directly alongside the CTO to build and operate live systems that steer industrial energy assets and trade on short-term electricity markets.

This is a highly cross-functional, end-to-end role sitting at the intersection of cloud infrastructure, electricity market integrations, and machine learning. You will be central to delivering reliable 24/7 operations for customers in the industrial electrification space — helping heavy industry transition away from fossil fuels by leveraging AI-driven Power-to-Heat optimization and smart electricity market participation.

The company operates in the industrial energy / cleantech sector and uses proprietary AI algorithms to forecast revenue opportunities and automate cross-market trading strategies for Power-to-Heat assets, reducing both costs and CO₂ emissions for industrial clients.

What You'll Do

Operate and maintain a reliable cloud infrastructure enabling 24/7 asset steering and high-frequency trading with high availability, fault tolerance, and scalability.
Develop and improve interfaces to electricity markets (Day-ahead, Intraday, Control power) and hardware steering systems.
Expand and maintain a backtesting environment to support customer configurations, new trading algorithms, and new asset types.
Train, deploy, and monitor electricity trading models in production.
Within your first quarter: build a new asset type into the backtesting environment and design the cloud architecture for live operations.
Rapidly internalize customer needs and translate them into robust, production-grade technical solutions.

What We're Looking For

Required:

Strong fundamentals in computer science, mathematics, or physics — ideally from a top university background.
Proven track record shipping production code; hands-on experience with cloud infrastructure (ideally AWS) and Python.
Experience designing and operating cloud systems for 24/7 live operations.
Hands-on experience building or maintaining backtesting environments for trading algorithms and varied asset types.
Familiarity with electricity markets and the ability to design reliable market interfaces.
Ability to own workstreams end-to-end, deliver high-quality results independently, and escalate issues early.
Fluent in English; based in Munich or willing to work on-site in Munich most of the time.

Nice to Have:

Optimization and data-science experience: MILP, stochastic methods, RNNs, Reinforcement Learning.
Time-series forecasting in production environments.
Energy / climate-tech domain knowledge.
Fluent German.

The right mindset is valued over ticking every box — we encourage you to apply even if you don't meet every listed qualification.

Location

On-site in Munich, Germany (most of the time).
Visa sponsorship is not available — candidates must have the right to work in Germany.

Compensation & Benefits

Salary: $70,000 – $95,000 per year (USD equivalent).
Founding team equity participation typical of a pre-seed engineering hire.
High-impact role with direct influence over technical architecture and product direction from day one.
Work on meaningful problems at the frontier of industrial decarbonization and energy markets.

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