17 beste Stellen als aws cloud solution architect in berlin, be – aktuell auf Personalsuche

Customer Engineer EMEA
Nebius —Berlin
- Homeoffice
Direkt bewerben
Tech Lead (f/d/m)
CEEZER —Berlin
- Vollzeit
- Hybrides Arbeiten
- Führungserfahrung
Direkt bewerben
Solutions Engineer, Service Provider - EMEA
Kentik —Berlin
- Homeoffice
- Mit Reiseanteil
Direkt bewerben
Engineering Manager - Site Reliability & Observability (x/f/m)
Doctolib —Berlin
- Vollzeit
- Führungserfahrung
Direkt bewerben
Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)
Databricks —Berlin
4 Tage
Partner Account Manager, WWPS Global Defence Partners
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
1 Tag
Senior Account Executive, Greenfield Enterprise DE
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Master
Senior Account Manager, Public Sector Germany
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Bachelor
- Führungserfahrung
Staff Security Engineer, GSOC
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
Direkt bewerben
Enterprise Account Executive
MongoDB —Berlin
Account Executive
RevStar —Berlin
- Vollzeit
- Homeoffice
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1 Tag
Principal Consultant - ServiceNow (m/w/d)
Devoteam N Platform Germany —Berlin
- Per E-Mail
- Hybrides Arbeiten
- Teamleitung
- Personalentwicklung
Direkt bewerben
1 Tag
SAP Integration Architect
Parloa —Berlin
- Mit Reiseanteil
Direkt bewerben
Staff Security Engineer, CSIRT
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
Direkt bewerben
Solutions Architect
MongoDB —Berlin
- Homeoffice
- Bachelor
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Engineering Manager - Observability & Reliability Engineering Obsession (x/f/m)
Doctolib —Berlin
- Vollzeit
- Führungserfahrung
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Account Executive, Greenfield Enterprise DE
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Master
9 Std.

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Customer Engineer EMEA

Nebius
Berlin

Direkt bewerben

Details zur Stelle

Vollständige Stellenbeschreibung

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from Europe.

Your responsibilities will include:

Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
Experience with Kubernetes and Python programming.
Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
Customer-centric approach with a proven ability to build trust and foster long-term relationships.
Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
Proven experience mentoring technical teams and driving team growth.
Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Benefits & Perks:

Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Direkt bewerben

Erweiterte Suche

aws cloud solution architect Jobs in berlin, be

Customer Engineer EMEA

Tech Lead (f/d/m)

Solutions Engineer, Service Provider - EMEA

Engineering Manager - Site Reliability & Observability (x/f/m)

Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)

Partner Account Manager, WWPS Global Defence Partners

Senior Account Executive, Greenfield Enterprise DE

Senior Account Manager, Public Sector Germany

Staff Security Engineer, GSOC

Enterprise Account Executive

Account Executive

Principal Consultant - ServiceNow (m/w/d)

SAP Integration Architect

Staff Security Engineer, CSIRT

Solutions Architect

Engineering Manager - Observability & Reliability Engineering Obsession (x/f/m)

Account Executive, Greenfield Enterprise DE

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Ich möchte aktuelle Job-E-Mails für Stellen als aws cloud solution architect in berlin, be erhalten

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