+ Cloud Cost Optimization Engineer 17823

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