Location: Berlin, Germany (hybrid: 3 days in-office, 2 days remote)
Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries — operating in complex edge + cloud setups and processing millions of events daily.
We’re looking for a highly analytical, hands-on engineer who enjoys digging into complex systems, solving real-world problems, and growing into a key role at the intersection of support, infrastructure, and AI systems.
What you'll do
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Monitor and analyze live systems across stores using logs, telemetry, and video data.
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Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments).
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Support and validate deployments - from preparation to rollout in production.
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Act as a technical interface to customers during rollouts and incident resolution.
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Work closely with engineering to identify root causes and improve system robustness.
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Build internal tools, scripts, and automated checks to scale support and operations.
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Document recurring issues and establish best practices for troubleshooting.
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Occasionally support on-site deployments across Germany and Europe.
What you bring
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Hands-on experience with Linux systems (CLI, debugging, system interaction).
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Comfortable working with Git in collaborative environments.
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Programming experience (e.g. Python, C++, or similar) - you can debug and write small tools/scripts.
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Basic understanding of networking fundamentals (e.g. connectivity, services, ports).
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Mandatory - Fluent German and English, with the ability to communicate clearly in technical contexts.
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Strong analytical mindset - you enjoy investigating issues and finding root causes.
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High ownership and reliability, especially in customer-facing situations.
Nice to have
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Experience with Docker or containerized environments.
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Basic knowledge of databases or data analysis (SQL, scripting).
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Exposure to distributed or edge systems (on-prem + cloud).
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Familiarity with monitoring, alerting, or observability tools.
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Experience with computer vision, video systems, or AI-based applications.
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Background in technical support, field engineering, or system deployment.
Why join Nomitri?
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Real-world impact: Your work directly affects live systems used in stores across multiple countries.
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Steep learning curve: Deep exposure to Linux, networking, distributed systems, and AI-powered applications.
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Bridge role: Grow beyond support into infrastructure, DevOps, or MLOps over time.
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Hands-on from day one: Work on real deployments, not just internal tooling.
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Close to the product: Collaborate directly with core engineers and influence system improvements.
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Learn from top engineers: Work closely with a highly experienced, international team (ex-Meta, Amazon, Qualcomm, ASML, …).
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Strong growth potential: Ideal role for ambitious engineers who want to quickly expand their technical scope.
Sounds good? If you enjoy solving real problems in complex systems and want to grow fast — we should talk. Not what you’re looking for? Not a problem, stay connected with us via LinkedIn or look into our website www.nomitri.com, in case more fitting job opportunities are available in the future.
