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Cloud Cost Engineer & Consultant (m/w/d)

Cortex Reply
CompanyCortex Reply
CategoryEngineering
LocationMunich
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen14 Jul 2026 (the employer did not state a posting date)
Last verified9 Aug 2026
SourceEmployer ATS (recruitee)
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Description
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, 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