Future Processing
3 months ago
Enterprise Cloud & FinOps Consultant
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Company information
- Company
- Future Processing
- Location
- Polska, mazowieckie, Warszawa Poland
- Posted
- 3 months ago
Job description
Join us as an Enterprise Cloud Consultant – a role where you will work closely with the business, translate objectives into cloud architecture (AWS/Azure) with AI elements, and then help deliver it. You will solve complex client problems, support presales, and ensure cost efficiency (FinOps). We are looking for someone who is equally comfortable at a whiteboard in workshops as they are in a terminal during deployment. We are looking for you if you have: Strong cloud experience: very good knowledge of AWS and/or Azure (architecture, PaaS services, security, networking) - minimum 5 years. Ability to encompass the entire solution: from architecture to delivery and operations (ownership). Practical experience with AI in the cloud: you can design solutions containing AI/ML components (e.g., managed AI services, LLMs, MLOps integrations), and in your daily work, you use AI copilots to accelerate engineering tasks (IaC, tests, documentation). Knowledge of FinOps (e.g., TCO calculations, showback/chargeback, storage/compute cost optimization). DevOps/Platform skills: CI/CD, IaC (e.g., Terraform), Kubernetes, monitoring/observability (e.g., Prometheus/Grafana/OpenTelemetry), SRE best practices. Understanding of the client's business perspective and experience in sales support/presales (workshops, proposals, presentations). Very good English – min. C1 spoken and written. Nice to have: Multicloud experience (AWS + Azure); GCP as an additional plus. Process modeling (e.g., BPMN) and conducting discovery. Cloud/FinOps/DevOps certifications (e.g., AWS/Azure Architect, CKA/CKAD, FinOps Certified). In this position, you will be responsible for: Designing cloud architecture (AWS/Azure; GCP desirable) with AI components as integral parts of the system. Analyzing business needs and translating them into technical solutions, cost models, and change roadmaps. Co-creating proposals and presales: discovery, scoping, estimations, solution presentations, and participation in prospect meetings. Implementation and coordination of delivery – from PoC/MVP to production, with an emphasis on quality, reliability, and observability. FinOps – designing for costs, TCO calculations, consumption and budget optimization mechanisms. Automation (CI/CD, IaC, DevOps) and security and compliance standards. Workshops with clients (ideation, target architecture, technology decisions) and building relationships at the business-IT interface. Mentoring and knowledge sharing in project teams. This position is covered by a bonus and commission system.
Required skills
- ci/cd
- monitoring
- ai
- presales
- aws
- kubernetes
- llm
- delivery
- bpmn
- gcp
- azure
- sre
- devops
- terraform
- prometheus
- grafana
- architecture
- observability
- workshops
- ml
- iac
- cost optimization
- finops
- mlops
- cka
- ckad
- platform engineering
- opentelemetry
- chargeback
- c1 english
- tco
- showback
- enterprise cloud
- cloud consultant
- aws certified
- azure certified
- finops certified
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