We invite a Freelance DevOps / FinOps Engineer to join our team. 

About us

  • On the market since 2002;
  • Operational departments and development hubs worldwide.

Project description

The project is running workloads on both Azure and AWS cloud providers. The goal is run a FinOps program across the projects: cost governance, tooling that lets application teams see and understand their cloud spend, and regular FinOps sessions with application owners that turn findings into real savings. You'll join a small dedicated team with a delivery coordinator as the hands-on cloud and cost optimization specialist. Results are measured by technical KPIs and by the savings actually achieved on cloud consumption.

Requirements

  • 4+ years of hands-on DevOps or cloud engineering experience.
  • Practical experience with both Azure and AWS, including their pricing models and native cost tools (Azure Cost Management, AWS Cost Explorer, CUR).
  • A track record of cloud cost optimization with measurable results.
  • Terraform in production use.
  • Daily work with the IT teams.
  • Ability to explain and defend recommendations in front of application owners who are not FinOps people.
  • Autonomy and reliability in a part-time remote setup.
  • Python and SQL for data analysis.
  • Databricks (the project is currently adopting it).
  • BI and reporting tools (Power BI or similar).
  • FinOps Certified Practitioner or equivalent.
  • Kubernetes cost optimization.
  • Experience in large multi-entity organizations.
  • Fluent English (Upper-intermediate and above).
  • Fluent French (Upper-intermediate and above).

Responsibilities

  • Analyze Azure and AWS consumption, find optimization opportunities (rightsizing, reservations and savings plans, storage tiers, idle resources, architecture choices) and estimate the expected savings.
  • Work directly with application teams on complex usage optimizations and help them implement the changes, including in Terraform.
  • Run studies on new topics (pricing models, new services, cost allocation approaches) and turn them into practical recommendations.
  • Contribute to governance: tagging and allocation rules, budgets, alerts, policies.
  • Help the data engineer define what cost data to collect and how to present it in reports.
  • Take part in FinOps sessions with application owners and help track the savings achieved.

We offer

  • Part-time, contract job.
  • About 20 hours per week.
  • Fully remote, with working hours overlapping the CET business day.

Recognize yourself? We are waiting for your CV!

Please, fill in the form and we will contact you in case if your experience suits our offer

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