FinOps Cloud Engineer @ Mindbox Sp. z o.o. v Česko

Odpovědnosti

1. Identify cost optimisation levers (e.g., ingestion, retention, tiering, sampling rules) and prioritise actions by ROI.
2. Build and deploy automation and IaC for logging and storage cost optimisation; ensure rollback and post-validation processes.
3. Leverage cloud-native monitoring/logging tools to analyse large-scale usage data and uncover cost drivers.
4. Document and deliver structured optimisation proposals, projecting measurable savings.
5. Improve tagging and allocation models to increase chargeback/showback accuracy.
6. Define and maintain cloud guardrails and policies (retention standards, quotas, alerts).

O pozici / o projektu

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

We are looking for an experienced FinOps Cloud Engineer to deliver end-to-end cost governance and optimisation across a multi-cloud environment (Azure, AWS, and GCP) . This hands-on role combines engineering depth (automation, IaC, scripting) with FinOps practice (governance, allocation, savings forecasting) to build sustainable controls, lower cloud spend, and embed cost-aware behaviours across engineering teams.

You’ll play a pivotal role in analysing patterns, building automation for logging/observability and storage cost controls , implementing guardrails, and driving measurable savings at scale—all while ensuring compliance with strict governance and operational frameworks.

Sounds like your kind of challenge?

• Flexible cooperation model
• Hybrid work setup – 6 days per month from the office
• Collaborative team culture – work alongside experienced professionals eager to share knowledge 
• Continuous development – access to training platforms and growth opportunities 
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 
• High quality equipment – laptop and essential software provided 

Detail pracovní nabídky

• Hybridní práce

Zaměstnavatel nabízí následující model hybridní práce:

6x/msc