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Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Mar 31, 2025. Cortex Reply scores B on the Alion truth index.

Overview
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We build digital colleagues: AI that holds a real job inside your business, live in weeks, with the governance, security and cost control to keep it there.

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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