DevOps/Cloud
Cloud Cost Optimization Engineer – 17823
Stockholm, Sweden
Onsite
Job Summary
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Posted Date
May 22, 2026
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Work Type
Onsite
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Deadline
2026-05-25
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Schedule
Full-time
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Location
Stockholm, Sweden
Job Description
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
If this sounds interesting please send your CV at cv@veritaz.se
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