About the Role

SimCorp is seeking a deeply technical FinOps professional to own Azure cost efficiency across the organization. The role focuses on improving cloud and AI economics through technical optimization, automation, governance, and informed design decisions. Working between Engineering and Finance, you will collaborate with architects, DevOps teams, and leadership to improve price-to-performance outcomes across mission-critical investment management software. This is a greenfield, engineering-focused position with direct ownership and influence over cost-related decisions.

Key Responsibilities

- Optimize Azure usage by right-sizing compute families and SKUs and removing orphaned resources.
- Shape commitment strategies and assess price-to-performance trade-offs across Compute, Service Bus, Storage, NetApp, SILK, and Exadata@Azure.
- Build Power BI and FinOps Toolkit reporting and automate cost anomaly detection.
- Lead shift-left cost-efficiency discussions with DevOps teams before infrastructure is provisioned.
- Establish governance for AI workload costs, including cost per token, model, and inference.
- Own forecasting models used by Finance and develop defensible cloud-spend plans.
- Continuously identify and replace inefficient services with more cost-effective alternatives.
- Translate technical decisions into margin and business-value outcomes.
- Challenge engineering decisions where they create unnecessary cost.

Required Skills

- Extensive experience with Azure infrastructure and cloud cost management.
- Ability to interpret architecture diagrams and cloud cost reports.
- Strong understanding of cloud billing data and the FOCUS specification.
- Proficiency with SQL and Python, or DAX, for working directly with billing data.
- Demonstrated experience delivering measurable cost savings.




- Confidence engaging with and challenging senior engineers.
- Commercial judgment and the ability to connect technical choices with business value.
- Strong ownership and comfort working with ambiguity.

Preferred Skills

- FinOps Certified Practitioner certification.
- Experience with Terraform.
- Direct experience managing costs for AI or machine-learning workloads.

Cloud Platforms & Technologies

Cloud Providers

- Microsoft Azure

FinOps and Cost Management

- FinOps Toolkit
- FOCUS specification

Programming and Query Languages

- SQL
- Python
- DAX

Infrastructure as Code

- Terraform

Azure Services and Infrastructure

- Compute
- Service Bus
- Storage
- NetApp
- SILK
- Exadata@Azure

Reporting and Analytics

- Power BI

FinOps Responsibilities

- Right-size Azure compute and remove unused or orphaned resources.
- Develop commitment strategies and evaluate price-to-performance trade-offs.
- Automate cost reporting and anomaly detection.
- Introduce cost controls for AI models, inference, and token usage.
- Maintain forecasting models for Finance.
- Improve cloud-spend visibility and planning.
- Support cost-efficient architecture and infrastructure decisions.
- Identify opportunities to replace inefficient services.

Benefits

- Attractive salary.
- Bonus scheme.
- Pension.
- Versátil working hours and working arrangements across APAC and EMEA.
- Hybrid work model requiring two office days per week, with remote work available on other days.

Why You Might Be Interested

This role offers direct ownership of Azure and AI cost efficiency in a greenfield FinOps environment. You would work closely with Engineering, DevOps, architects, Finance, and leadership while delivering measurable savings. The position combines technical cloud expertise, automation, forecasting, and business-value analysis across mission-critical software.

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