Full Stack Engineer

E-Solutions; Berlin; On-site; EUR 90,000 - 130,000; Full time

Job summary

E-Solutions in Berlin is seeking a skilled backend engineering professional to design, develop, and deploy scalable web applications across frontend and backend systems. You will own core product architecture, ensuring performance, reliability, and maintainability, while building and integrating AI solutions, including agent frameworks, RAG pipelines, and vector databases.

Key responsibilities include optimizing databases, implementing CI/CD pipelines, and establishing robust monitoring,

Qualifications

• Proficiency in Go, Python, or Java.
• Experience with PostgreSQL, MongoDB, and Redis; query optimization and caching.
• Cloud & DevOps: Docker, Kubernetes, Terraform, Ansible, and CI/CD.
• AI engineering: experience with AI agents, RAG architectures, and vector databases.
• Monitoring & Observability: Prometheus, Grafana, and OpenTelemetry or Jaeger.
• CS fundamentals: data structures, algorithms, concurrency, and distributed systems.

Responsibilities

• Design, develop, and deploy scalable web applications across frontend and backend systems.
• Own core product architecture, ensuring performance, reliability, and maintainability.
• Build and integrate AI solutions, including agent frameworks, RAG pipelines, and vector databases.
• Optimize database performance, caching, and distributed data processing.
• Implement CI/CD pipelines, infrastructure automation, and container orchestration.
• Establish robust monitoring, logging, and distributed tracing practices.

Skills

Go

Python

Java

AI agents

Monitoring & Observability

Distributed systems

Data structures

Concurrency

Tools

Docker

Kubernetes

Terraform

Ansible

CI/CD

PostgreSQL

MongoDB

Redis

Prometheus

Grafana

OpenTelemetry

Jaeger

Vector databases

Job description

• Design, develop, and deploy scalable web applications across frontend and backend systems.
• Own core product architecture, ensuring performance, reliability, and maintainability.
• Build and integrate AI solutions, including agent frameworks, RAG pipelines, and vector databases.
• Optimize database performance, caching, and distributed data processing.
• Implement CI/CD pipelines, infrastructure automation, and container orchestration.
• Establish robust monitoring, logging, and distributed tracing practices.

Required Technical Skills

• Backend Engineering: Proficiency in Go, Python, or Java.
• Databases: PostgreSQL, MongoDB, and Redis, including query optimization and caching.
• Cloud & DevOps: Docker, Kubernetes, Terraform, Ansible, and CI/CD.
• AI Engineering: Experience with AI agents, RAG architectures, and vector databases.
• Monitoring & Observability: Prometheus, Grafana, and OpenTelemetry or Jaeger.
• Computer Science Fundamentals: Data structures, algorithms, concurrency, complexity analysis, and distributed systems.