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

~13.9k - 16.9k PLN/ mies.B2B
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MidFull-time·B2B·Umowa o pracę
#390364·Dodano wczoraj·0
Źródło: ITDS
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Tech Stack / Keywords

AWSAzureAzure MonitorBigQueryCloudTrailCloudWatchGCPGCP Cloud LoggingKQLLog AnalyticsSQL

Firma i stanowisko

You will be working for a leading global bank's IT organization, joining a dynamic team focused on optimizing cloud resource utilization and reducing infrastructure costs across multiple cloud platforms in a fast-paced, enterprise environment.

Wymagania

  • Minimum 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.
  • Experience in identifying and implementing cost reduction strategies for cloud logging and storage.
  • Ability to produce well-supported optimization proposals with clear analysis and forecasted savings.
  • Excellent communication skills for technical and non-technical audiences.

Nice to have:

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

Obowiązki

  • Operate across multi-cloud production environments (AWS, Azure, GCP), analyzing logging patterns and cost drivers.
  • Utilize native cloud logging and monitoring services (CloudWatch/CloudTrail, Azure Monitor/Log Analytics, GCP Cloud Logging).
  • Integrate logging services with SIEM and observability tools.
  • Query and analyze log data using KQL, CloudWatch Logs Insights, SQL/BigQuery to detect trends and anomalies.
  • Design and enhance logging architecture, including retention policies, tiering, and compliance controls.
  • Drive storage and logging cost optimization by tuning retention, filtering/sampling, tiering to lower-cost storage, and implementing compression and partitioning.
  • Develop and present quantifiable cost-saving proposals with baseline vs. target analysis.
  • Communicate complex technical findings to technical teams and non-technical stakeholders.

Inne informacje

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

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