Experienced Full Stack Backend Engineer at fast growing Berlin AI company
Vor 5 Tagen
At Nomitri, our ambition is bold: to become a leading worldwide player in Edge AI and Computer Vision. Smoothly running backends and cloud-to-edge deployment pipelines as well as dashboards and monitoring tools empowering customers, operators, and engineers to see and trust that our AI solutions are running reliably and at scale will be crucial to achieve this vision.
By joining us, you'll play a key role in achieving worldwide success by shaping how our already world-class AI systems are delivered and experienced at scale.
The RoleWe are looking for an experienced Full Stack Engineer with strong backend skills and practical broader experience crossing into cloud deployments and frontend development to join our engineering team in Berlin. You will help us design, build, and deploy our backend systems and key applications that make our AI solutions transparent, scalable, and user-friendly — from log collection services to customer-facing KPI dashboards and automated monitoring and diagnostics tools up to secondary cloud AI modules.
This is a role for someone who enjoys working across the stack and shaping and owning complete solutions: developing web applications end-to-end, ensuring smooth deployment across devices and cloud environments, and translating customer requirements into user-friendly features and frontends.
Location: Berlin, Germany (hybrid: 3 days in-office, 2 days remote)
Why This Role MattersAs we expand our AI solutions, the smooth and scalable deployment and maintainability through continuous diagnostics as well as visibility features like customer facing dashboards are becoming as critical as the deep-tech itself. By joining us, you will:
Develop core backend features that take our edge based AI features to the next level
Scale deployments across on-prem and cloud environments, ensuring robust delivery of our AI stack.
Empower customers with real-time dashboards and KPIs that turn data into actionable insights.
Strengthen our operations by building monitoring and diagnostics services that ensure system reliability.
Strengthen the backend team, complementing existing engineers to ensure peer review and backend operations don't rely on a single person.
Your work will directly enhance both customer experience and our ability to deliver at scale.
What You'll DoImplement backend services and APIs (RESTful, and optionally GraphQL) to support higher-level AI features and frontend functionality.
Design, develop, and maintain responsive dashboards and web applications for internal and external users.
Ensure smooth containerized GitOps based deployments (Docker, Kubernetes, ArgoCD) across devices and environments.
Integrate with and optimize CI/CD pipelines (GitLab CI/CD, Jenkins) for automated builds, testing, and deployment.
Deploy and maintain applications on cloud platforms (AWS, GCP) as well as on-premise environments.
Collaborate with ML, DevOps, and product teams to ensure seamless integration of dashboards and backend systems.
Job requirements What You Bring (Must-Have Skills)Broad expertise in full stack web application development (frontend & backend).
Backend: Strong experience with Java, , Python, or Ruby — and RESTful API development.
Frontend: Solid proficiency in React, Angular, or — with proven ability to build clean, intuitive dashboards.
Containerization: Solid hands-on experience with Docker and orchestration (Kubernetes).
CI/CD: Experience setting up and maintaining CI/CD pipelines (GitLab CI/CD, Jenkins, etc.).
Cloud & On-Prem: Proven experience deploying web applications in both cloud and on-prem environments.
Familiarity with GraphQL for optimized API queries.
UI/UX sensibility — able to design dashboards that are both functional and visually appealing.
Experience handling real-time data streams (WebSockets, live KPIs).
Understanding of web application security (OAuth, JWT, secure API practices).
Knowledge of monitoring tools like Prometheus, Grafana, ELK stack.
Experience with data visualization techniques for technical and non-technical users.
Exposure to serverless architectures (AWS Lambda, Google Cloud Functions).
Comfortable in a hybrid setup (3 days office / 2 days).
Thrive in a fast-learning environment and enjoy solving tough problems.
Take ownership of your workstreams and care about running systems staying healthy.
Comfortable in participating in active yet open minded discussions
Enjoy being able to drive product development ideas and work in fast iterative cycles
Willing to step in during critical issues, even outside core hours.
Motivated by direct impact and product ownership.
Enjoy working in a DevOps-rich, collaborative, senior engineering team.
The chance to build with us the backend systems, deployment pipelines, dashboards, tools, and services that make AI systems truly usable at scale.
A world-class engineering team (ex-Facebook, ex-Amazon, Cambridge, ex-Qualcomm, ex-ASML, and more).
A culture that values impact over politics: flat, international, fast-moving, and respectful.
Long-term stability as a wholly owned subsidiary of GK Software, Europe's leading POS software provider.
A Berlin-first culture with hybrid flexibility.
Not what you're looking for? Not a problem, stay connected with us via LinkedIn or look into our website , in case more fitting job opportunities are available in the future.
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