Automotive
3
Mid/Senior
Software Engineering
Tech stack
Kubernetes
CI/CD (ArgoCD, Github Actions)
Monitoring, logging (Grafana/Prometheus/ElasticSearch)
Python
Data Science
Grape Up is a consulting & technology company helping enterprises create the most important applications by leveraging AI & cloud-native technologies and modern ways of delivering software. Our projects are based on cooperation with international clients from government and industries such as automotive, insurance and finance.
In cooperation with our client, we are building and operating an on-prem data platform used for large-scale engineering and R&D data processing. Our role focuses on Kubernetes-based infrastructure, automation, and close collaboration with data engineering teams to ensure scalability and reliability.
Responsibilities
- Maintain, operate, and continuously improve a Kubernetes-based, on-prem data platform supporting data engineering and analytics workloads
- Develop and maintain CI/CD pipelines and deployment processes using ArgoCD and GitHub Actions
- Ensure high platform reliability, scalability, and observability through proper monitoring and logging solutions
- Automate infrastructure and platform operations using Python, including scripts, Kubernetes operators, and DAGs
- Collaborate closely with data engineers and platform users to support and improve data processing environments
Requirements
- Strong hands-on experience with Kubernetes in production environments
- Experience with CI/CD pipelines and deployment automation (ArgoCD, Github Actions or similar tools)
- Solid knowledge of monitoring and logging in distributed systems (Prometheus, Grafana, Elasticsearch or equivalents)
- Proficiency in at least one programming language – preferably Python
- Good communication skills, both written and spoken
- Good command of English (B2+/C1)
Nice to have
- Familiarity with data processing and analytics tools such as Spark, Airflow, Jupyter, or Apache Iceberg
- Experience supporting data engineering or data science platforms
- Previous exposure to large, on-premises infrastructures and open-source–based ecosystems
Recruitment owner
Klaudia Jazowska
DevOps Engineer
TALENT POOL
apply now
Benefits
Employee referral
Knowledge platforms
Equipment
Integration activities
Employee referral
Knowledge platforms
Equipment
Integration activities
Lunch & Learn
In-house Tech Up
Language lessons
Lunch & Learn
In-house Tech Up
Language lessons
Conferences & training
Development plan
Feedback sessions
Business travel opportunities
Conferences & training
Development plan
Feedback sessions
Business travel opportunities
Check out the next steps of your recruitment process
Application
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HR & technical interview
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Meeting with the Manager
Learn more about the project you could be involved in.
Offer
We’re excited to welcome you onboard! Let’s discuss the details.
Feedback
If you’re not lucky this time, we’ll tell you what you can improve to join us in the future.
