As a Cloud Cost 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, SaaS 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
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.