FinOps Cloud Engineer

do 145 PLN/ godz./ godz.B2BB2B (netto)

NieokreśloneHybryda·KrakowFull-time·B2B

#465320·Dodano 4 dni temu·0

Źródło: RITS Professional Services

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Tech Stack / Keywords

Azure AWS GCP Terraform Python BashAzure MonitorCloudWatch LogsBigQuery GitHub Actions

Podsumowanie oferty

You’ll identify and deliver cloud cost optimisation opportunities across Azure, AWS, and GCP, initially focusing on logging, observability, and storage. You’ll build automation and IaC controls to reduce costs and prevent cost regression across a multi-cloud estate.

Wymagania

Strong working knowledge of Azure core services, identity, networking, and governance, and good knowledge of AWS and GCP cost drivers and pricing mechanics.
Knowledge of Azure Log Analytics, Azure Monitor, Diagnostic Settings, Storage Accounts, Event Hub, Sentinel, Azure Policy, and Cost Management.
Knowledge of AWS CloudWatch Logs, S3 lifecycle, and Cost Explorer/CUR.
Knowledge of GCP Cloud Logging, Log Router/Sinks, BigQuery, Storage lifecycle policies, and Billing exports.
Knowledge of IaC/automation using Terraform, CI/CD with GitHub Actions or Azure DevOps, and policy-as-code.
Practical understanding of FinOps principles, including cost allocation, showback/chargeback concepts, optimisation levers, and cost governance.
Understanding of cloud governance/compliance approaches and implementing guardrails in enterprise environments.
Hands-on experience with at least two public cloud platforms (AWS, Azure, and/or GCP), including their native logging and monitoring services.
Strong understanding of logging/observability architecture, including log ingestion and routing, retention policies, and storage cost drivers.
Proven ability to analyse logging data at scale to identify cost drivers and deliver measurable cost reduction opportunities.
Demonstrated experience building and deploying automation at scale using Python, Bash, and/or Terraform, including CI/CD and repeatable deployment patterns where applicable.
Experience producing savings forecasts, building business cases, and writing structured optimisation proposals with clear assumptions and impacts.
Strong communication skills, with experience presenting technical analysis and recommendations to senior technical stakeholders and influencing outcomes.
Experience working in a highly governed enterprise environment, operating within compliance, operational risk, and change control frameworks.

Obowiązki

Optimisation delivery:

Identify opportunities across ingestion, retention, tiering, sampling, routing, and exclusion rules; prioritise them by ROI and risk.
Implement changes via automation/IaC with rollback plans and post-change validation.
Build and deploy automation for logging and storage cost optimisation across a multi-cloud estate at enterprise scale.
Access and analyse logging data directly using cloud-native tooling to identify cost drivers and reduction opportunities.
Produce optimisation proposals with projected savings forecasts.
Operate within client governance and compliance standards, obtaining appropriate approvals before implementing changes.

FinOps governance:

Support tagging/label and allocation model improvements for chargeback/showback accuracy.
Define and maintain policies/guardrails, such as default retention standards, workspace quotas, and budget alerts.

Stakeholder management:

Run optimisation clinics with platform/app teams; agree actions, owners, timelines, and expected savings.
Produce executive-ready reporting for senior stakeholders, covering trends, forecast versus actual, and risks.
Present technical findings and recommendations to cloud platform leads and senior engineering stakeholders.

Operational excellence:

Create runbooks, controls, and documentation; ensure changes pass risk/compliance checks.
Monitor for cost regression and create automated drift detection.

RITS

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