Senior Infrastructure Engineer (Kubernetes)

Location: Hybrid in Berlin, Germany; only candidates local to the posting location will be considered.

Company

hirify.global provides mobile advertising and consumer experience technology connecting telcos, advertisers, publishers, and consumers across devices.

What you will do

• Design, build, and operate large-scale distributed systems and data platforms for reliability, scalability, and cost efficiency.
• Drive platform standardization through GitOps/ArgoCD adoption, unified CI/CD pipelines, and developer ownership across business lines.
• Build and operate Kubernetes infrastructure, including Spark-on-Kubernetes and data and ML platform tooling.
• Implement MLOps and data-pipeline capabilities for model training, deployment, and serving in partnership with ML and Data teams.
• Improve observability, automation, and cost optimization while participating in on-call rotations, incident response, and blameless postmortems.

Requirements

• 8+ years of experience in infrastructure, platform, or back-end engineering, building robust distributed systems.
• Deep experience with AWS or GCP and proficiency in Go, Java, Python, or Scala.
• Strong hands-on experience building and operating Kubernetes infrastructure stacks.
• Familiarity with Spark, Kafka, data lakes, Databricks, or comparable data and ML infrastructure.
• Experience with infrastructure as code, CI/CD, GitOps, modern observability tooling, and production on-call operations.

Nice to have

• Experience leading large migrations or platform-standardization programs across multiple teams.
• Background in high-throughput, low-latency systems such as real-time bidding or event streaming.
• Experience with FinOps and cost governance at scale.

Culture & Benefits

• Hybrid work environment based in the posting location.
• Work within a global organization serving mobile advertising and app markets.
• Inclusive, equitable, and culturally diverse workplace.
• Opportunity to contribute to platform capabilities used across multiple engineering workstreams.