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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Finops Engineer - Cloud, SaaS & Estate Cost - **Company:** Shine Germany GmbH - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Data Centers, Citrix Systems, Delivery Pipeline, Advanced Reports, Nutanix, Terraform, Software Version Control, Data Pipelines, Vmware - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=04128f809cf93f9a ## About the Role * 5+ years in FinOps, cloud cost engineering, or infrastructure engineering with substantial cost ownership - you've operated a real cost base, not just read the billing console * Hands-on cloud fluency on at least one of AWS, GCP or Azure, with working knowledge of the others' billing and commitment models (CUDs, savings plans, reservations, enterprise agreements) * Engineering-grade automation skills: you build pipelines, write code against billing and licensing APIs, and treat attribution as configuration in version control - comfortable working in Terraform, not around it * Practical use of AI tooling in your own work - for analysis, report generation, investigation - with judgment about where it's dependable and where it isn't * Experience making cost legible to non-specialists: showback or chargeback, unit economics, presentations to finance and engineering leadership that led to decisions * Comfort with incomplete data and inherited mess - you can build a defensible picture from partial sources and state clearly what's known, estimated, and unknown * Delivery attitude: you ship a working v1 of the cost picture and improve it, rather than waiting for perfect data that never arrives, * SaaS spend management at portfolio scale: licence optimization, renewal negotiation support, shadow-IT discovery * On-premises and hybrid cost experience: outsourced infrastructure contracts (e.g. Kyndryl or similar), virtualization licensing (VMware, Citrix, Nutanix), data-centre unit economics * Experience supporting a migration or consolidation program with cost analysis - you know what keep/move/end numbers look like when they're actually used * FinOps Foundation certification or equivalent practice familiarity * Background in regulated industries (fintech, accounting, banking) * Experience in a post-acquisition environment where multiple estates were brought under one view ## Description The numbers behind every lifecycle decision. When a product's future is decided, you own the keep/move/end analysis: what it costs to run where it is, what migration costs, what a true sunset saves. Your numbers are what make retirement fundable and commitment planning safe. Cost automation, built with AI. Reporting, anomaly detection, investigation and forecasting built as automated pipelines - using AI tooling as a working instrument, not a demo. If a cost question has to be answered by hand twice, automating it is your job. Deep investigation, on demand. When Finance, a tribe lead, or leadership asks why a number moved, you can take it apart to the driver - service, workload, contract, or licence - and come back with an answer that holds up. Granular when it matters; we do not optimize for bolts. What you'll do day-to-day * Build and maintain the attribution layer hands-on: tagging standards and allocation rules as code in the Terraform module library, cost data pipelines, showback with Finance per tribe and per product. * Bring the SaaS portfolio under management - one inventory of tools, owners, contracts, renewal dates and per-seat cost, with each team seeing its own bill. * Extend the same visibility over the on-premises estate: Kyndryl contracts, Nutanix, Citrix and VMware licensing and capacity, mapped to the products that depend on them and to their lifecycle dates. * Produce the keep/move/end numbers for open product lifecycle decisions, and keep them current as decisions firm up. * Automate reporting and anomaly detection with AI-assisted tooling - dashboards that answer questions before they're asked, alerts on spend that moves without a reason. * Prepare the commitment strategy: unit economics per cloud, a committed-spend baseline that respects the retirement plan, and the analysis behind the hosting strategy decision - so that when the lifecycle decisions are final, the commitment cycle is ready to execute, not starting from scratch. * Work with Finance on the cost-per-unit-of-delivery measure and the quarterly cost presentation to tribes - one definition, one number. * Investigate specific cost questions raised by teams and leadership, in detail, and turn recurring questions into automated answers., * Cost attribution coverage across cloud, SaaS and on-prem - trending toward 100%, with unattributed spend held under 5% * Inventory of the SaaS portfolio and on-prem contracts: complete, current, and owned * Time to answer a cost question - trending down, because the answer is increasingly automated Decisions * Keep/move/end numbers delivered for every open lifecycle decision, on time and defensible * The cost-per-unit-of-delivery measure defined and baselined with Finance * Commitment strategy ready when lifecycle decisions land - savings captured against a baseline that respects the retirement plan, not despite it Trust * Finance and tribe leads use your numbers without re-deriving them * Qualitative signal: teams bring you cost questions early, rather than discovering the answer at quarter close What this is not This is not a procurement role, a controller role, or a slideware role. It's not penny-hunting: we report and investigate in detail, but we don't optimize for bolts - the leverage is in attribution, lifecycle decisions, commitments and the SaaS portfolio, not in shaving cents off individual workloads. ## Related Videos - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Mastering AWS Cost Optimization: Real-world technical and operational cost-saving best practices](https://www.wearedevelopers.com/videos/1408-mastering-aws-cost-optimization-real-world-technical-and-operational-cost-saving-best-practices) - [Generating code with Angular schematics](https://www.wearedevelopers.com/videos/129-generating-code-with-angular-schematics) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)