FinOps Engineer & Consultant (m/w/d)

Cortex Reply DE

Berlin

Vor Ort

EUR 90.000 - 130.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Cortex Reply DE in Berlin seeks a FinOps Engineer & Consultant to design platforms and automation for real-time cost control and optimisation. You'll turn raw billing data into actionable insights and automate cost governance across cloud and on-prem workloads.

You will collaborate with DevOps, Platform, and SRE teams to embed FinOps into workflows and contribute to client engagements with scalable cost solutions.

Qualifikationen

  • Experience designing and implementing FinOps tooling and cost governance.
  • Ability to build data pipelines and dashboards for cost visibility.
  • Strong scripting and automation skills.

Aufgaben

  • Design integrations across AWS, Azure, and GCP billing APIs.
  • Architect data pipelines unifying multi-cloud and on‑prem spend data.
  • Build dashboards, cost views, and real-time alerts.

Kenntnisse

Python
SQL
Cloud cost management
English (B2)

Ausbildung

Degree in Computer Science/IT/Engineering

Tools

Terraform
Kubernetes

Jobbeschreibung

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
  • 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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