Senior Data Platform Engineer

We are hiring on behalf of our client an established and profitable international technology company operating within a larger global group. Its mission-critical product platform processes tens of billions of data points and supports hundreds of millions of searches every day.

As a Senior Data Platform Engineer you will take operational ownership of a self-hosted open-source data platform following its migration from bare-metal virtual machines to Kubernetes on OpenStack. Your focus will be on stabilising maintaining automating and continuously improving the platform that supports data engineering analytics and data science teams.

This is a hands-on role at the intersection of Platform Engineering and Site Reliability Engineering. You will work closely with architects and technical leaders contribute to architectural decisions and act as a key point of contact for the platforms reliability and evolution. This is not a traditional data engineering analytics or ticket-based operations role.

Key takeaways:

Stack: Kubernetes OpenStack Terraform Helm/Kustomize ArgoCD/Flux Apache Druid Redpanda/Kafka Spark Airflow PostgreSQL Elasticsearch Prometheus Grafana

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

Working model: 2 days per week in the Krakow office; remote work within Poland may be considered for an excellent match

Location: Krakow nearby Rondo Matecznego

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

Responsibilities:

Platform Ownership

• Own the operational health and ongoing development of a self-hosted data platform running on Kubernetes and OpenStack.
• Operate production systems including Apache Druid Redpanda Spark Airflow PostgreSQL and Elasticsearch.
• Participate in platform stabilisation upgrades bug fixes capacity planning and performance improvements following the infrastructure migration.
• Build reliable operating patterns for stateful Kubernetes workloads including storage replication disruption management and rolling upgrades.

Reliability and Incident Management

• Define and monitor the KPIs alerts dashboards SLOs and error budgets required to maintain platform reliability.
• Build observability coverage using Prometheus Grafana logging and distributed tracing.
• Participate in the on-call rotation respond to production incidents and coordinate the resolution of major platform issues.
• Drive root-cause analysis post-incident reviews runbooks and preventive improvements.

Infrastructure and Automation

• Codify infrastructure and platform configuration using Terraform Helm or Kustomize and GitOps practices.
• Improve CI/CD processes to make platform changes safe repeatable and easy for the wider team to support.
• Automate recurring operational work and reduce manual intervention across the platform.
• Apply appropriate security secrets management backup and disaster-recovery practices.

Architecture and Collaboration

• Contribute to architectural discussions and help shape the future technology stack rather than simply maintaining the existing design.
• Partner with globally distributed architects SREs data engineers analysts and data scientists.
• Translate platform requirements into scalable and supportable technical solutions.
• Use AI-assisted engineering tools pragmatically while maintaining strong quality controls for production infrastructure.

Requirements:

Platform and SRE Expertise

• Strong hands-on experience in Platform Engineering Site Reliability Engineering DevOps or infrastructure engineering.
• Advanced knowledge of Kubernetes in production particularly stateful workloads persistent storage disruption management and safe upgrades.
• Production experience with Infrastructure as Code and configuration management using tools such as Terraform Helm or Kustomize.
• Practical experience with GitOps and automated delivery ideally using ArgoCD Flux or comparable tooling.
• Experience owning production systems participating in on-call rotations and resolving complex incidents.

Data Platform Experience

• Hands-on experience operating Kafka Redpanda or another production event-streaming platform.
• Experience administering or supporting at least one additional data technology such as Spark Airflow PostgreSQL Elasticsearch Hadoop or Apache Druid.
• Good understanding of data ingestion streaming partitioning replication consumer lag capacity and performance.
• Experience implementing monitoring alerting dashboards and structured root-cause analysis.
• You do not need experience with every technology in the stack. Apache Druid Spark Redpanda and OpenStack can be learned if you bring strong Kubernetes platform reliability and data infrastructure fundamentals.

Collaboration and Mindset

• Strong ownership mindset and the ability to operate independently in a small high-impact team.
• Confidence contributing to architectural discussions and challenging existing solutions when improvements are possible.
• Openness to learning unfamiliar technologies and using modern AI-assisted development tools.
• Clear written and spoken English for collaboration across Poland Canada India and Sweden.

What we offer:

• Private medical care through Lux Med
• Creative tax relief through KUP applicable to up to 85% of eligible work
• Hybrid working model with two office days per week
• Remote work within Poland considered for an excellent match
• Access to Claude Code and an AI-enabled engineering environment

Apply now

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