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FinOps Engineer & Consultant (m/w/d)

  • Hybrid
    • Munich, Berlin, Germany

If you’re ready to take on the challenges of aligning interests across departments, creating sustainable FinOps practices, and being a catalyst for transformation, we would love to hear from you.

Job description

As a FinOps Engineer & Consultant at Cortex Reply, you'll build the platforms, pipelines, and automation that give enterprises real-time control over their technology spend. This is a hands-on engineering role at the intersection of infrastructure, automation, and financial analytics - turning raw billing data into actionable, automated optimisation. 

We work with the FinOps Foundation, shape industry standards, and expand the discipline into AI, sustainability, and beyond. 

Your Tasks

Cost Visibility & Tooling Engineering 

  • Design integrations across AWS, Azure, and GCP billing APIs 

  • Architect data pipelines that normalise and unify multi-cloud, SaaS, and on-prem spend data 

  • Build dashboards, cost views, and real-time alerting using BI and observability tools 

Automation & Policy Enforcement 

  • Design automated cost controls: policy-as-code guardrails (tagging, sizing, lifecycle), event-driven automation for idle resource cleanup and budget notifications 

  • Write reusable Terraform modules embedding cost-awareness into provisioning 

Infrastructure Optimisation 

  • Generate rightsizing recommendations and remediate waste across cloud, SaaS, AI, and on-prem workloads 

  • Optimise Kubernetes workloads, storage tiers, network egress, and managed service configurations 

Cost Allocation & Tagging Engineering 

  • Design and enforce tagging frameworks at scale 

  • Implement automated compliance checks and remediation workflows 

  • Build showback/chargeback systems mapping spend to business units, products, and teams 

Cross-Functional Collaboration 

  • Partner with DevOps, Platform, and SRE teams to embed FinOps into existing workflows 

  • Enable engineering self-service through tools, APIs, and integrations that surface cost context 

  • Collaborate with finance to translate engineering data into business reporting 

Thought Leadership 

  • Develop FinOps blueprints and playbooks 

  • Contribute trainings, talks, and publications 

  • Expand offerings into FinOps for AI, FinOps for SaaS, or sustainability tracking 

Client Advisory & Consulting 

  • Act as a technical consultant to client teams - conduct assessments, lead workshops, and translate engineering solutions into business outcomes during client-facing engagements 

  • Contribute to solution design proposals and project scoping, ensuring technical feasibility aligns with client expectations and timelines 

What We Offer

  • Competitive compensation 

  • Professional development through challenging projects and training opportunities 

  • A diverse, international team with a strong knowledge-sharing culture 

  • Opportunities for thought leadership: conferences, publications, certifications 

  • A collaborative, supportive team environment

Job requirements

  • Degree in Computer Science, IT, Engineering, or related field 

  • Proficiency in English and German (min. B2 each) 

  • Residence in Germany with work eligibility 

  • Willingness to travel occasionally 

  • Excellent communication skills for technical and non-technical audiences 

  • Understanding of agile frameworks and consulting experience 

  • Experience with at least one major cloud provider (AWS, Azure, or GCP) 

  • Python, Terraform, SQL 

  • Familiarity with cloud billing models, pricing structures, and usage metering 

  • Understanding of container-based architectures and Kubernetes basics 

  • Proactive, self-organised mindset 

Nice to Have 

  • Cloud certifications or FinOps Practitioner certification 

  • Familiarity with cloud cost management tools (e.g. Cloudability, Flexera, Kubecost, Infracost) 

  • Exposure to SaaS management, on-prem licence optimisation, or AI cost management 

  • Automation/orchestration tools: n8n, Step Functions, Cloud Workflows 

  • Observability platforms: Datadog, Prometheus, Grafana, CloudWatch 

  • BI tools: Power BI, Looker, Grafana dashboards 

  • AI/ML workload cost management (GPU economics, training vs. inference spend) 

  • SaaS licensing optimisation or on-prem infrastructure cost modelling 

Here you can find more information about Cortex Reply and how we process your data.

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