Senior DevOps Engineer (all genders) | Data Platform at Kaufland e-commerce
May no longer be active — verify on the employer site
At a glance
- Company
- Kaufland e-commerce
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Permanent
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Kaufland e-commerce job
- 🏢 Kaufland e-commerce has 12 jobs here, 12 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Kaufland e-commerce if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Operate and own self-hosted Apache Kafka clusters and Schema Registry: ACLs, quotas, certificates, upgrades, DR and capacity planning.
- Run Debezium-based CDC pipelines and BigQuery sinks: manage connectors, snapshots, offsets, replica lag and sink loaders.
- Manage Kubernetes workloads including Navarch orchestration: resource management, autoscaling, debugging and cost control.
- Implement and maintain IaC and GitLab CI/CD automation to replace manual ticketing for access and infra changes.
- Maintain observability and cost monitoring (Datadog, Slack alerts); tune retention, logging and infra spend.
- Participate in triage rotation (approx. 1 week in 3) to handle ingestion, schema alerts and access requests; automate repetitive tasks.
- Act as senior technical partner in design reviews and multi-quarter initiatives; help evolve BigQuery and data architecture.
Requirements:
- Several years operating production infrastructure with on-call experience and demonstrated incident ownership and remediation.
- Deep hands-on Kafka operations knowledge: sizing, partitioning, rebalancing, replication/ISR and upgrades.
- Production experience with Debezium or other cross-system DB replication patterns and sink architectures.
- Strong Kubernetes experience managing stateful workloads, autoscaling and observability in production.
- Proficiency with IaC and CI/CD tools (Terraform/Ansible, GitLab pipelines) and scripting (Python/SQL).
- Practical cost-awareness and observability skills (Datadog or similar) and ability to trade off reliability vs cost.
- Good English communication and ability to collaborate with data engineers, analysts and product owners.
Responsibilities
You will manage and operate the Apache Kafka backbone, Debezium data pipelines, and Kubernetes-based workloads. Additionally, you will act as a senior technical partner to drive design reviews and automate infrastructure management.
Requirements
You must have several years of experience in production infrastructure operations, including on-call rotations and deep expertise in Apache Kafka and Kubernetes. Proficiency in Python, SQL, and Infrastructure as Code tools like Terraform or Ansible is required, along with fluent English skills.
Key skills
- Apache Kafka — in 29 other listings on The Stack
- Kubernetes — in 569 other listings on The Stack
- Python — in 1173 other listings on The Stack
- SQL — in 527 other listings on The Stack
- Terraform — in 463 other listings on The Stack
- Ansible — in 54 other listings on The Stack
- Debezium — in 2 other listings on The Stack
- Google Cloud Platform — in 51 other listings on The Stack
- GitLab CI/CD
- Datadog
- Infrastructure as Code
- Data replication
- System architecture
- Observability
- BigQuery
On The Stack (as of 2026-11-03)
Frequently asked questions about Kaufland e-commerce
Is this Senior DevOps Engineer (all genders) | Data Platform role still open?
It was posted on 2026-08-31. Listings more than 30 days old may no longer be active, so check Kaufland e-commerce's site before applying.
Does Kaufland e-commerce offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Kaufland e-commerce's site.
Where is this role located?
The listing gives the location as Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Apache Kafka, Kubernetes, Python, SQL, Terraform, Ansible, Debezium, Google Cloud Platform, GitLab CI/CD, Datadog, Infrastructure as Code, Data replication, System architecture, Observability, BigQuery.