Senior FinOps Cloud Consultant w Kraków, Polska

• Hands-on experience with at least two public cloud platforms: Azure, AWS, or GCP
• Strong knowledge of Azure core services, identity, networking, governance, and cost management
• Good understanding of AWS and GCP cost drivers and pricing mechanisms
• Experience with Azure Monitor, Log Analytics, Diagnostic Settings, Storage Accounts, Event Hub, Sentinel, Azure Policy, and Azure Cost Management
• Experience with AWS CloudWatch Logs, S3 lifecycle policies, Cost Explorer, or Cost and Usage Reports
• Experience with GCP Cloud Logging, Log Router, sinks, BigQuery, storage lifecycle policies, or billing exports
• Strong understanding of logging and observability architecture
• Knowledge of log ingestion, routing, retention policies, and storage cost drivers
• Experience analysing logging data at scale and identifying measurable cost reduction opportunities
• Experience building and deploying automation using Python, Bash, or Terraform
• Knowledge of CI/CD tools such as GitHub Actions or Azure DevOps
• Experience with Infrastructure as Code, policy as code, and repeatable deployment patterns
• Practical understanding of FinOps principles, cost allocation, chargeback, showback, optimisation levers, and cost governance
• Experience producing savings forecasts, business cases, and structured optimisation proposals
• Understanding of cloud governance, compliance, operational risk, and change control frameworks
• Strong communication and stakeholder management skills
• Ability to present technical analysis and recommendations to senior stakeholders

Nice to have

• AWS certification
• Microsoft Azure certification
• Google Cloud certification
• FinOps Foundation certification
• Experience working in a financial institution

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

• A culture of top performance
• Deep tech IT engineering & consulting
• 1200 skilled & top-class experts
• 77% of the team are regular/senior
• Products that contribute to a sustainable world
• Competitive salary and benefits
• Ambitious projects, trainings and tools you need to flourish
• Google Cloud Partner of the Year - for going above and beyond for customers

What will you do?

As a Senior Cloud Platform Engineer, you will identify, quantify, and deliver cloud cost optimisation opportunities across Azure, AWS, and GCP. You will combine cloud engineering, automation, Infrastructure as Code, and FinOps practices to reduce cloud costs, improve cost transparency, and implement sustainable governance controls across a multi-cloud environment.

,[Identify cloud cost optimisation opportunities across logging, observability, and storage services, Analyse log ingestion, routing, retention, tiering, sampling, and exclusion rules, Access and analyse logging data using cloud-native tools to identify key cost drivers, Build and deploy automation for logging and storage cost optimisation at enterprise scale, Implement approved optimisation changes using Infrastructure as Code and automated deployment pipelines, Prepare rollback plans and conduct post-change validation, Produce optimisation proposals, savings forecasts, and business cases with clear assumptions, Improve tagging, labelling, allocation, chargeback, and showback models, Define and maintain cloud cost policies, guardrails, retention standards, quotas, and budget alerts, Run optimisation sessions with platform, application, and engineering teams, Present technical findings and recommendations to senior engineering stakeholders, Prepare executive-level cost reports covering trends, forecasts, actual savings, and risks, Create runbooks, technical controls, and supporting documentation, Monitor cost regression and implement automated drift detection, Ensure implemented changes comply with governance, risk, and change management requirements] Requirements: Cloud platform, AWS, GCP, Networking, Azure Monitor, Storage, AWS CloudWatch, AWS S3, Cloud, BigQuery, Python, Bash, Terraform, CI/CD, GitHub Actions, Azure DevOps, Infrastructure as Code, Stakeholder management, Microsoft Azure, Google Cloud Additionally: Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.