About the role
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, lifecycle, sizing), 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
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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