Mid-Level Cloud FinOps Engineer – Multi-Cloud Cost Optimization
~13.9k - 16.9k PLN13 900 - 16 900 PLN/ mies.B2B
Brak informacji o wynagrodzeniu
MidFull-time·B2B·Umowa o pracę
#390364·Dodano wczoraj·0
Źródło: ITDSTech 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.
ITDS
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