Experienced Full Stack Backend Engineer at fast growing Berlin AI company

Nomitri; Berlin; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

World-class engineering team

Flat, respectful culture

Long-term stability

Hybrid flexibility

Job summary

An AI technology company in Berlin is seeking an experienced Full Stack Backend Engineer to join its team. This role emphasizes designing, building, and deploying scalable backend systems for AI solutions. Applicants should be skilled in Java, Node.js, Python, and have experience with Docker and Kubernetes. The position offers a hybrid work model with three days in the office and two days remote, creating a collaborative environment that values innovation and direct impact.

Qualifications

• Broad expertise in full stack web application development (frontend & backend).
• Strong experience with Java, Node.js, Python or Ruby and RESTful API development.
• Proficiency in React, Angular or Vue.js with ability to build clean, intuitive dashboards.
• Hands-on experience with Docker and Kubernetes.
• Experience setting up and maintaining CI/CD pipelines.

Responsibilities

• Develop core backend features that support edge AI services.
• Scale deployments across on-prem and cloud environments.
• Build real-time dashboards and KPIs that turn data into actionable insights.
• Create monitoring and diagnostics services to maintain system reliability.
• Implement RESTful APIs that support higher-level AI features.

Skills

Full stack web application development

Java

Node.js

Python

Ruby

RESTful API development

React

Angular

Vue.js

Docker

Kubernetes

CI/CD pipelines

AWS

GCP

Job description

Experienced Full Stack Backend Engineer – Berlin AI Company

Nomitri is seeking an experienced Full Stack Backend Engineer to join our engineering team in Berlin. The role focuses on designing, building, and deploying backend systems and key applications that make our AI solutions transparent, scalable, and user-friendly.

Location

Berlin, Germany (hybrid: 3 days in‑office, 2 days remote)

Responsibilities

• Develop core backend features that support edge AI services
• Scale deployments across on-prem and cloud environments, ensuring robust delivery of the AI stack
• Build real-time dashboards and KPIs that turn data into actionable insights
• Create monitoring and diagnostics services to maintain system reliability
• Implement RESTful APIs (and optionally GraphQL) that support higher‑level AI features and frontend functionality
• Design responsive dashboards and web applications for internal and external users
• Deploy containerized applications with Docker, Kubernetes and GitOps tools such as Argo CD
• Integrate and maintain CI/CD pipelines (GitLab CI/CD, Jenkins) for automated builds, testing and deployment
• Deploy and maintain applications on AWS, GCP and on-premise environments
• Collaborate with ML, DevOps and product teams to ensure seamless integration of dashboards and backend systems

Qualifications

• Broad expertise in full stack web application development (frontend & backend)
• Backend: Strong experience with Java, Node.js, Python or Ruby and RESTful API development
• Frontend: Proficiency in React, Angular or Vue.js with ability to build clean, intuitive dashboards
• Containerization: Hands‑on experience with Docker and Kubernetes
• CI/CD: Experience setting up and maintaining pipelines (GitLab CI/CD, Jenkins, etc.)
• Cloud & On‑Prem: Proven experience deploying web applications in both cloud and on‑prem environments

Nice To Have

• Familiarity with GraphQL for optimized API queries
• UI/UX sensibility for designing functional and visually appealing dashboards
• Experience with real‑time data streams (WebSockets, live KPIs)
• Understanding of web application security (OAuth, JWT, secure API practices)
• Knowledge of monitoring tools such as Prometheus, Grafana, ELK stack
• Experience with data visualization techniques for technical and non‑technical users
• Exposure to serverless architectures (AWS Lambda, Google Cloud Functions)

Who You Are (Cultural Fit)

• Comfortable in a hybrid setup (3 days office / 2 days home)
• Enjoy solving tough problems in a fast‑learning environment
• Take ownership of workstreams and ensure systems stay healthy
• Participate actively in open‑minded discussions
• Drive product development ideas within fast iterative cycles
• Willing to step in during critical issues, even outside core hours
• Motivated by direct impact and product ownership
• Happy working in a DevOps‑rich, collaborative senior engineering team

What We Offer

• The chance to build backend systems, deployment pipelines, dashboards, tools and services that make AI systems usable at scale
• A world‑class engineering team with experience from Facebook, Amazon, Cambridge, Qualcomm, 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