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Mid-Level Cloud FinOps Engineer – Multi-Cloud Cost Optimization

This position is no longer accepting applications(closed Jul 23, 2026).

Unleash the Power of Cloud Optimization — Drive Cost Efficiency and Strategic Insights!

Krakow-based opportunity with hybrid work model.

As a Mid-Level Cloud FinOps Engineer, you will be working for our client, a leading global bank’s IT organization. You will join a dynamic team dedicated to optimizing cloud resource utilization and reducing infrastructure costs across multiple cloud platforms. Your expertise will help shape innovative strategies for cost management and operational excellence in a fast-paced, enterprise environment, fostering impactful technological transformations and career growth.

Your main responsibilities:

  • Operate across multi-cloud production environments (AWS, Azure, GCP), managing live workloads to analyze logging patterns, identify pain points, and understand cost drivers.
  • Utilize native cloud logging and monitoring services (CloudWatch/CloudTrail, Azure Monitor/Log Analytics, GCP Cloud Logging) and ensure integration with SIEM and observability tools.
  • Query and analyze log data using KQL, CloudWatch Logs Insights, SQL/BigQuery to detect trends, anomalies, and gaps.
  • Design and enhance logging architecture and lifecycle management, including retention policies, tiering, and compliance controls.
  • Drive storage and logging cost optimization by tuning retention, applying filtering/sampling, tiering to lower-cost storage, and implementing compression and partitioning strategies.
  • Develop and present quantifiable cost-saving proposals, including baseline vs. target analysis, assumptions, and potential recurring or one-off impacts.
  • Communicate complex technical findings clearly to both technical teams and non-technical stakeholders.

You’re ideal for this role if you have:

  • Minimum of 3 years of hands-on experience in cloud operations and FinOps across two or more public cloud platforms (AWS, Azure, GCP).
  • Strong knowledge of native logging/monitoring services and their integration with SIEM and observability solutions.
  • Proven ability to query, analyze, and troubleshoot log data using KQL, CloudWatch Logs Insights, SQL, or BigQuery.
  • Solid understanding of logging architecture, lifecycle management, retention policies, tiering, and compliance considerations.
  • Experience in identifying and implementing cost reduction strategies for cloud logging and storage.
  • Capacity to produce well-supported optimization proposals with clear analysis, assumptions, and forecasted savings.
  • Excellent communication skills suitable for engaging both technical and non-technical audiences.

It is a strong plus if you have:

  • Certifications in AWS, Azure, or GCP.
  • Experience with automation and scripting related to cost management.
  • Knowledge of cloud security and compliance standards.

Language Required for the role:

  • Fluent English language skills, with excellent verbal and written communication.

Eligibility for the role:

  • Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

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