FinOps Engineer & Consultant (m/w/d)

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

• 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 .