Senior Data Platform Engineer

We are hiring on behalf of an established international technology company whose core platform processes high-throughput real-time data at massive global scale.

As a Senior Data Platform Engineer you will take operational ownership of a self-hosted data platform running on Kubernetes and private-cloud infrastructure. The position combines data infrastructure administration Platform Engineering and Site Reliability Engineering.

The strongest candidate will bring hands-on production experience with at least one database streaming platform or distributed data system together with practical Kubernetes knowledge and a strong interest in developing broader data-platform expertise.

This is not a traditional data engineering analytics or ticket-based operations position. You will maintain the infrastructure underneath the work of data engineers analysts and data scientists while contributing to architectural decisions about how the platform should evolve.

Stack:

• Data environment: PostgreSQL Kafka/Redpanda Elasticsearch Apache Druid Spark and Airflow
• Platform environment: Kubernetes OpenStack Terraform Helm/Kustomize ArgoCD/Flux Prometheus and Grafana

Salary: PLN gross monthly on an employment contract (open to negotiations)

Working model: 2 days per week in the Krakow office OR fully remote if you live outside of Krakow

Recruitment process:

1. A call with Motife recruiter
2. Short online coding assessment followed by two technical and system-design interviews
3. Final meeting with the CTO

• Take operational ownership of a self-hosted production data platform.
• Administer and support distributed data technologies such as PostgreSQL Kafka/Redpanda Elasticsearch Druid Spark or Airflow.
• Monitor data ingestion streaming storage replication capacity and performance.
• Diagnose production problems across data flows and platform infrastructure.
• Plan and execute upgrades configuration changes and performance improvements.
• Help establish reliable backup recovery and disaster-recovery practices.

• Participate in the on-call rotation and respond to production incidents.
• Define and improve monitoring alerting dashboards KPIs and SLOs.
• Investigate complex failures and coordinate their resolution.
• Conduct root-cause analyses and translate findings into preventive improvements.
• Create and maintain runbooks and operational documentation.
• Reduce recurring incidents and manual operational work through automation.

• Support data services running on Kubernetes and private-cloud infrastructure.
• Develop your expertise in operating stateful Kubernetes workloads including persistent storage replication disruption management and safe upgrades.
• Automate infrastructure and platform configuration using tools such as Terraform Helm Kustomize or equivalent.
• Improve deployment processes using GitOps and automated delivery practices.
• Contribute to safe repeatable and observable platform changes.

• Participate in architectural discussions and help shape the future technology stack.
• Challenge existing solutions when a more reliable or scalable approach is available.
• Translate operational and data-platform requirements into supportable technical solutions.
• Work closely with globally distributed technical teams and business stakeholders.
• Use AI-assisted engineering tools pragmatically while maintaining strong quality controls.

• Hands-on experience administering operating or supporting at least one production data system such as:
  • PostgreSQL or another substantial database platform;
  • Kafka Redpanda or another event-streaming platform;
  • Elasticsearch;
  • Hadoop;
  • Spark or Airflow infrastructure;
  • another distributed or high-volume data technology.
• Understanding of relevant operational concepts such as data ingestion data flows partitioning replication consumer lag capacity performance and recovery.
• Practical exposure to Kubernetes including deploying supporting or troubleshooting applications running on it.
• Experience monitoring production systems and resolving technical incidents.
• Experience automating infrastructure or operational work using Infrastructure as Code configuration management or scripting.
• Ability to write review or explain scripts and automation code.
• Strong ownership mindset and ability to work independently.
• Clear written and spoken English.

Join a high-impact engineering team and take ownership of the reliability and future direction of a large-scale self-hosted data platform. If you are strongest in Kubernetes Platform Engineering or SRE and want to deepen your expertise in data infrastructure we would like to hear from you.

Required Experience:

Senior IC