Senior DevOps Engineer (all genders) | Data Platform

About This Opportunity

Our talent team is representing a confidential e-commerce technology organization in Germany seeking a Senior DevOps Engineer to own and operate a critical data platform infrastructure. This role offers remote work across Germany or hybrid options in Cologne, Darmstadt, Düsseldorf, or Berlin. You'll work alongside senior data engineers in a flat-hierarchy environment, managing production-grade streaming, replication, and orchestration systems that process thousands of daily tasks.

Responsibilities

• Run and own a self-hosted Apache Kafka infrastructure end-to-end, managing ACLs, client quotas, certificates, upgrades, and disaster recovery protocols
• Operate change data capture pipelines using Debezium, overseeing connectors, snapshots, offsets, replica lag, and sink loaders into cloud data warehouse environments
• Manage workloads on Kubernetes including a proprietary workflow orchestrator executing approximately 7,500 SQL and Python tasks daily, owning resource management, autoscaling, and complex debugging scenarios
• Automate access management and implement infrastructure as code across CI/CD pipelines, replacing manual processes with code-driven policies
• Own observability strategy and infrastructure cost optimization across Kafka, sink loaders, Kubernetes resource usage, and log volume expenses
• Participate in rotational triage duties (one week in three) handling ingestion requests, schema alerts, and analyst support while driving automation through AI-assisted review processes
• Serve as senior technical partner driving design reviews and multi-quarter initiatives, with opportunity to grow into cloud data warehouse architecture including access frameworks, partitioning strategy, and data modeling
• Optional participation in 24/7 on-call rotation

What We're Looking For

• Several years of production infrastructure operations experience with personal accountability, including on-call rotation; ability to explain specific failure scenarios, permanent fixes implemented, and data-driven trade-off decisions
• Deep hands-on expertise in Apache Kafka broker operations including cluster sizing, partition rebalancing, replication, ISR behavior, and version upgrades
• Production experience operating cross-system data replication, ideally Debezium on Kafka Connect, or database replication using binlog, GTID, WAL, or agent-based pipelines
• Strong production Kubernetes experience with resource management, autoscaling expertise, and sharp debugging skills for complex failure modes
• Infrastructure and access management as code across multiple environments using tools like Terraform and Ansible (or Pulumi, Helm, or similar), following strict least-privilege IAM principles; GCP experience preferred or transferable AWS/Azure knowledge
• Production-grade Python and SQL skills with cost-conscious approach to query performance, scanning volume, and data pruning
• Comfort in low-process, Kanban-driven environments where senior engineers self-organize, rotate triage duties, and prioritize automation over manual repetition
• Fluent English (C1 level) with ability to thrive in international team settings
• Optional skills valued: object-oriented design, data modeling/dbt, cloud data warehouse architecture, orchestration frameworks (Airflow, Dagster), stream processing (Beam, Flink, Spark), or workflow automation

How We Work With You

When you apply through Get A Job.ai, our recruiting team conducts an initial screening to understand your background and match you with our client's requirements. If there's a strong fit, we submit your profile to the hiring organization and coordinate all interview stages on your behalf. Please apply exclusively through our platform and do not contact the client directly, as this allows us to best represent your interests throughout the process.

Pay

Compensation details will be discussed during the screening process based on your experience level and our client's budget for this position.

Equal Opportunity

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