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Cloud Efficiency Engineer at Veritaz

Veritaz AB

Okänd ort

Previous experience is desired

16 days left
to apply for the job

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are currently looking for an experienced Cloud Efficiency Engineer.

What You Will Work On

  • Analyze infrastructure usage and identify cloud optimization opportunities
  • Drive cost efficiency initiatives across cloud-native platforms
  • Optimize Kubernetes resource allocation and workload placement
  • Improve platform performance while maintaining service stability
  • Execute rightsizing and autoscaling initiatives
  • Troubleshoot resource contention and performance bottlenecks
  • Optimize compute utilization and infrastructure consumption
  • Analyze and improve JVM-based application performance
  • Implement measurable cloud cost reduction initiatives
  • Collaborate with engineering and data teams to support optimization programs
  • Strengthen operational efficiency through automation and platform improvements
  • Support long-term scalability and reliability objectives

What You Bring

  • Minimum 5 years of experience in cloud infrastructure engineering
  • Proven hands-on experience with cloud cost optimization and resource efficiency
  • Deep expertise in Google Cloud Platform or strong equivalent experience in AWS or Azure with readiness to work in GCP environments
  • Strong understanding of cloud compute models, pricing structures, and infrastructure utilization
  • Extensive experience optimizing Kubernetes / GKE workloads in large-scale environments
  • Experience with rightsizing, autoscaling, and troubleshooting resource contention
  • Strong Java knowledge and experience supporting JVM-based services
  • Practical experience with GC log analysis, heap tuning, and runtime optimization
  • Demonstrated ability to implement measurable optimization initiatives
  • Strong understanding of balancing performance improvements with reliability and stability requirements
  • Structured and data-driven approach to infrastructure decision-making
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