FinOps Cloud Engineer

Role: FinOps Cloud Engineer

Location: Krakow, Poland(Hybrid, 3 days work from office)

6 Months contract(Sub-contract or B2B contract)

Rate: 185 PLN per hour

Responsibilities:

• Identify quantify and deliver cloud cost optimisation opportunities across Azure AWS and GCP
• Analyse logging observability and storage usage patterns to identify key cost drivers
• Optimise log ingestion routing retention sampling exclusion rules storage tiering and lifecycle policies
• Prioritise optimisation opportunities based on projected savings implementation effort risk and return on investment
• Implement cost optimisation changes using Terraform scripting CICD pipelines and other automation tools
• Build repeatable automation for logging and storage cost optimisation across enterprise multicloud environments
• Analyse cloud logging data directly using native cloud monitoring and analytics tools
• Produce structured optimisation proposals business cases and projected savings forecasts
• Develop rollback plans and perform postimplementation validation for optimisation changes
• Improve tagging labelling cost allocation showback and chargeback processes
• Define and maintain FinOps policies and guardrails covering retention standards quotas budgets and cost s
• Conduct optimisation clinics with platform SRE application security and product teams
• Produce executivelevel reporting covering cost trends forecasts actual savings risks and optimisation progress
• Monitor cloud environments for cost regression and automate drift detection
• Create and maintain runbooks controls technical documentation and operational procedures
• Ensure all optimisation activities comply with governance operational risk security and change management requirements

To be successful in this role you should have:

• Handson experience with at least two public cloud platforms across Azure AWS and GCP
• Strong experience with native cloud logging monitoring storage and cost management services
• Strong understanding of logging and observability architecture including ingestion routing retention and storage cost drivers
• Proven experience analysing largescale logging data and identifying measurable cost reduction opportunities
• Strong Azure knowledge covering Log Analytics Azure Monitor Diagnostic Settings Storage Accounts Event Hub Sentinel Azure Policy and Cost Management
• Knowledge of AWS services such as CloudWatch Logs S3 Lifecycle Management Cost Explorer and Cost and Usage Reports
• Knowledge of GCP services such as Cloud Logging Log Router Log Sinks BigQuery Cloud Storage Lifecycle Policies and Billing Exports
• Strong automation experience using Terraform Python andor Bash
• Experience implementing repeatable deployment patterns through GitHub Actions or Azure DevOps
• Practical knowledge of FinOps principles cost allocation showback chargeback optimisation levers and cost governance
• Experience implementing cloud governance standards policies and automated guardrails
• Experience producing savings forecasts business cases and structured optimisation proposals
• Strong communication and stakeholder management skills
• Ability to present technical findings and financial recommendations to senior engineering stakeholders
• Experience working within compliance operational risk and change control frameworks
• Cloud platform certifications and FinOps Foundation certifications are desirable
• Experience working in financial institutions or regulated enterprise environments is advantageous