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Julius Baer

Senior Azure FinOps Engineer 100% (f/m/d)

Julius Baer is hiring a Senior Azure FinOps Engineer 100% (f/m/d) in Madrid, Spain. Level rates it ; you can apply on Julius Baer.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 190 other open roles at Julius Baer.
  • The role was posted within the past two weeks.

AI in this role

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

As a Senior Azure FinOps Engineer, you will be a senior technical member of our Cloud Engineering team, specializing in Azure cost optimisation, FinOps engineering, automation, and cloud consumption analytics.
You will analyse Azure usage and cost data, identify optimisation opportunities, and implement technical solutions that improve the cost efficiency and transparency of our Azure platform.
Working closely with cloud engineers, architects, application teams, and FinOps stakeholders, you will combine deep Azure engineering knowledge with FinOps expertise to ensure cloud solutions are scalable, reliable, and cost-efficient.
This is a hands-on engineering role focused on technical implementation, automation, data analysis, and continuous optimisation.

YOUR CHALLENGE

  • Analyse Azure consumption and utilisation data and implement cost optimisation across workloads and platform services, including rightsizing, lifecycle optimisation, architectural improvements, reservations, savings plans, and licensing optimisation.
  • Develop tooling and automation to identify idle, underutilised, oversized, or incorrectly configured Azure resources and support continuous optimisation.
  • Design and implement automation for cost management, reporting, anomaly detection, and governance using PowerShell, Azure CLI, APIs, KQL, and Infrastructure as Code.
  • Build and improve dashboards, queries, alerts, and cost insights using Azure Cost Management, Azure Monitor, Log Analytics, Azure Resource Graph, Power BI, and related Azure capabilities.
  • Develop technical solutions for tagging, cost allocation, showback, and chargeback across the Azure platform.
  • Work with cloud engineers and architects to optimise the cost efficiency of Azure architectures and services, including compute, storage, databases, networking, and Azure Kubernetes Service (AKS).
  • Support engineering teams with cost estimates and technical financial analysis for new architectures, services, and platform changes.

YOUR PROFILE

  • Strong experience in Azure cost optimisation and FinOps.
  • Proven experience analysing Azure consumption and resource utilisation, identifying technical root causes of cost inefficiencies, and implementing sustainable optimisation solutions.
  • Strong technical understanding of Azure services, subscriptions, management groups, resource governance, tagging, networking, compute, storage, and cloud-native architectures.
  • Practical experience with Azure Cost Management, Azure Monitor, Log Analytics, Azure Resource Graph, KQL, or comparable Azure analytics capabilities.
  • Hands-on experience with SQL, scripting and automation using PowerShell, Azure CLI, Python, REST APIs, or similar technologies.
  • Experience with Infrastructure as Code, preferably Terraform or Bicep, and integrating optimisation or governance controls into automated cloud engineering processes.
  • Practical understanding of Azure purchasing and optimisation models, including Reservations, Savings Plans, licensing, and resource rightsizing.
  • Experience working with enterprise-scale Azure environments; experience in banking, financial services, or other regulated industries is an advantage.

Required Education and Skills

  • Degree in Computer Science, Information Technology, Engineering, Business Information Systems, or a comparable discipline (HF/FH/University), or equivalent professional experience.
  • Strong analytical and problem-solving skills with a pragmatic, self-driven, and hands-on engineering mindset.
  • Experience with CI/CD and engineering practices in enterprise Azure environments; experience with AKS is an advantage.
  • Azure certifications such as AZ-104 or AZ-305 and FinOps certifications are desirable.
  • Ability to communicate technical findings and recommendations clearly to engineers, architects, and non-technical stakeholders.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

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How we rate this

Senior Azure FinOps Engineer 100% (f/m/d) at Julius Baer rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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