Full-Stack Engineer

Clera; München; Vor Ort; EUR 80.000 - 130.000; Vollzeit

Zusammenfassung

Clera is seeking a hands-on, high-ownership software engineer to join a small, product-focused team building AI-powered sales automation software for distributors and manufacturers. You will work across the full stack to design, ship, and scale complex web applications handling large volumes of unstructured data, integrating with ERP and CRM systems.

The role emphasizes fast-paced delivery, strong architectural ownership, and direct impact on the core product.

Qualifikationen

• At least 2 years of full-time engineering experience.
• Strong proficiency building end-to-end web apps with Next.js/React frontend and Python backend.
• Backend-capable full-stack profile with scalable API design.
• Experience designing scalable APIs and reusable backend structures.
• Experience building data pipelines for large-scale unstructured data.
• Proficiency with PostgreSQL and relational data modeling.
• Hands-on experience with Docker and Kubernetes.
• Experience with AWS/Azure/GCP and modern CI/CD workflows.
• ML/NLP tech including embeddings, vector databases, RLHF, with production deployments preferred.
• Product-minded with track record shipping complex apps.
• Ability to articulate past engineering decisions clearly.

Aufgaben

• Own the architecture and design of AI systems end-to-end.
• Collaborate with engineers across the full stack to deliver features.
• Build data pipelines for large-scale unstructured data.
• Deploy and manage software in cloud environments using CI/CD.
• Make backend scalable, stable, and efficient as usage grows.
• Develop reusable components and well-structured API layers.
• Write clean, maintainable code with careful test coverage.

Kenntnisse

Next.js/React frontend

Python backend

API design

Data pipelines

PostgreSQL

Docker

Kubernetes

Cloud platforms

CI/CD

ML/NLP embeddings

Vector databases

RLHF production

Full-stack

Communication of decisions

Tools

PostgreSQL Tools

Jobbeschreibung

About The Role

This is a hands-on, high-ownership engineering role on a small, product-focused team building AI-powered sales automation software for distributors and manufacturers. You will work across the full stack to design, ship, and scale complex web applications that process large volumes of unstructured data and integrate with enterprise ERP and CRM systems. The work is fast-paced and has direct impact on the core product.

About The Role

This is a hands-on, high-ownership engineering role on a small, product-focused team building AI-powered sales automation software for distributors and manufacturers. You will work across the full stack to design, ship, and scale complex web applications that process large volumes of unstructured data and integrate with enterprise ERP and CRM systems. The work is fast-paced and has direct impact on the core product.

What You'll Do

• Own the architecture and design of AI systems end-to-end.
• Collaborate with other engineers across the full stack to deliver features at pace.
• Build data pipelines to process large-scale unstructured data efficiently.
• Deploy and manage software in cloud environments using modern CI/CD practices.
• Make the backend scalable, stable, and efficient as usage grows.
• Develop reusable components and well-structured API layers.
• Write clean, maintainable code with sensible test coverage.

What We're Looking For

• At least 2 years of full-time professional engineering experience; working-student or internship-only backgrounds do not qualify.
• Strong proficiency building end-to-end web applications with Next.js/React on the frontend and Python on the backend.
• Backend-capable full-stack profile rather than a frontend-focused one.
• Solid experience designing scalable APIs and reusable backend structures.
• Experience building data pipelines for large-scale unstructured data.
• Proficiency with PostgreSQL and relational data modeling.
• Hands-on experience with Docker and Kubernetes for containerization and deployment.
• Experience with at least one major cloud platform (AWS, Azure, or GCP) and modern CI/CD workflows.
• Practical experience with ML/NLP technologies, including embeddings, vector databases, and RLHF, with production deployments preferred.
• Experience with ML model serving and inference pipelines in production environments is a plus.
• A product-minded mindset with a demonstrable track record of shipping complex applications.
• Ability to clearly articulate past engineering decisions and accomplishments.

Compensation & Benefits

• Salary range: 80,000 to 130,000 EUR annually, depending on experience.
• Visa sponsorship is not available for this role.

Location

On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person in Munich on a full-time basis; limited hybrid arrangements are not on offer.