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

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.