Experience in Python (Programming Language)
Languages
Experience
5+ years
Role
Senior
Description
About ELITEX:
Our company has devoted teams of professionals with strong technical expertise and mentoring backgrounds, providing a full cycle of software development.
At ELITEX every employee's voice matters, processes are smooth and deprived of useless bureaucracy, and working conditions are great.
About the Project:
A software service provider based in Germany with a dynamic team of over 50 creative experts from various fields.
Here, authenticity, individual talent development, and open communication are at the core of everything we do. We rely on respect, trust, and responsibility. As an innovation-driven company, we invest in new ideas. We know that the best results come from teamwork. We make mistakes – but we learn from them. We are open-minded and bold when it comes to exploring new paths.
Our DNA is centered around creating sustainable solutions with a strong commitment to excellence. We thoroughly analyze our projects in advance. That’s why we deliver what we promise. Our consulting is honest and customer-oriented.! Important: The position must be based in Düsseldorf or near the city. Alternatively, the candidate must be willing to relocate there.
Work arrangement:
You must come to the office three times a week!
Responsibilities:
- Implementing best practices for automation, scalability, and system reliability on high-traffic web applications hosted with Kubernetes
- Participating in continuous improvement processes, with a focus on supporting full-stack developers managing complex deployments (in development environment)
- Supporting in maintaining customer infrastructure across Kubernetes upgrades and software supply chain changes
- Supporting our company adopt and implement DevOps and MLOps best practices: In this position, you will have up to 25% of your working time for learning and experimenting, based on the needs and direction of the company
Requirements:
- Strong practical experience with Kubernetes
- Expertise with helm, including writing and maintaining custom Helm charts
- Hands-on experience with cloud platforms (Google Cloud Platform or similar)
- Experience running production workloads on Kubernetes
- Experience setting up and managing CI/CD pipelines
- Familiarity with GitOps and continuous delivery tools such as flux CD
- Solid understanding of infrastructure-as-code tools (ideally Terraform)
- Familiarity with linux, shell scripting and/or Python
- Experience with observability, understanding how to set up and use logging, metrics, tracing, alerting
- Experience with creating machine learning pipelines or willingness to learn it on the job
- Fluency in English
Nice to have:
- Experience with on-call duty
- Experience with data engineering, MLOps and training AI workloads, metaflow
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