Senior FinOps Cloud Consultant

GFT Technologies gft.com Open · verified Oct 24, 2026

Kraków Senior Cloud

At a glance

Senior Cloud role at GFT Technologies. Kraków.

Pay not stated Cloud salary

RoleCloud

SenioritySenior

LocationKraków

PostedOct 21, 2026 · 3d ago

Role brief

devopsroles summary, based on the employer's posting.

What you'll do

Find savings in cloud logging, observability and storage, then estimate the impact and build business cases
Examine log flows, retention and storage patterns to pinpoint the main cost drivers
Automate approved cost changes with Infrastructure as Code and deployment pipelines, including rollback and validation
Set cost allocation, policies, budgets and guardrails, then watch for regressions and detect drift
Run optimisation sessions and present technical recommendations and cost reports to engineering and executive audiences

What you bring

Hands-on work with at least two of Azure, AWS and GCP, with strong knowledge of Azure services and cost controls
Experience analysing logging at scale and reducing costs across logging, observability or storage
You can build and deploy automation with Python, Bash or Terraform, and use Infrastructure as Code patterns
You understand FinOps practices, cost governance, allocation and forecasting, along with cloud risk and change controls

Who this fits

This senior consulting role suits someone who can combine cloud engineering and cost analysis, then explain recommendations to technical and senior stakeholders. You’ll work hybrid from the client’s Kraków office six days a month.

From the employer

Type of contract: B2B contract

Salary range: 135 - 170 PLN/H

What will you do?

As a Senior FinOps Cloud Consultant, 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.

Your tasks

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

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
Openness to work hybrid from our client's office (Kraków) 6 days a month