FinOps Cloud Engineer

LTM; Kraków; Hybrid; PLN 248,000 - 262,000; Part time

Job summary

LTM in Krakow, Poland, is seeking a FinOps Cloud Engineer on a 6-month contract (sub-contract or B2B) with hybrid work (3 days in office). You will identify cost optimizations across Azure, AWS, and GCP, and implement changes using Terraform and CI/CD pipelines.

The role requires hands-on multi-cloud experience, strong cost governance skills, and the ability to present savings forecasts to senior stakeholders. Compensation is 185 PLN per hour on a 6-month engagement.

Qualifications

• Hands-on experience with at least two public cloud platforms (Azure, AWS, or GCP).
• Strong experience with cloud logging, monitoring, storage, and cost management services.
• Understanding of logging and observability architecture: ingestion, routing, retention, and storage cost drivers.
• Proven ability to analyse large-scale logging data and identify cost reductions.
• Azure expertise: Log Analytics, Monitor, Storage, Sentinel, Cost Management, Policy.
• AWS knowledge: CloudWatch Logs, S3 Lifecycle, Cost Explorer, Cost and Usage Reports.
• GCP knowledge: Cloud Logging, Log Router, Log Sinks, BigQuery, Billing Exports.
• Automation with Terraform, Python, and Bash.
• Experience deploying with GitHub Actions or Azure DevOps.
• FinOps principles, cost governance, showback, and chargeback.
• Cloud governance standards and automated guardrails.
• Ability to present savings forecasts and business cases.

Responsibilities

• Identify and deliver cloud cost optimisation opportunities across Azure, AWS, and GCP.
• Analyse logging, observability and storage usage to identify key cost drivers.
• Implement cost optimisation changes using Terraform and CI/CD pipelines.
• Build repeatable automation for logging and storage cost optimisation across multi-cloud.
• Produce structured optimisation proposals and forecasts of savings.
• Develop rollback plans and validate changes post-implementation.
• Define and maintain FinOps policies, guardrails, retention standards and budgets.
• Produce executive-level reporting on cost trends, savings, and risks.

Skills

Multi-cloud (Azure AWS GCP)

Cloud cost optimization

Terraform automation

GitHub Actions / Azure DevOps

Logging & observability

Communication with stakeholders

Tools

Terraform

GitHub Actions

Azure DevOps

Python

Bash

Job description

Role

FinOps Cloud Engineer

Location

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

Contract

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

Role Description

FinOps Cloud Engineer

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

6 Months contract (Sub-contract or B2B contract)

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 processesDefine 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