8 meilleures offres (devops engineer cloud) (à pourvoir)

Delivery Consultant - AI/ML, Professional Services - AWS Industries
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- Bar
- Informatique
- Niveau Doctorat
il y a 3 jours
Software Engineer - (Core DevOps)
Infomaniak Network SA —Genève, GE
- 100%
- Travail hybride
- Développement logiciel
- Python
- Travail à domicile
- Caisse de pension
il y a 3 jours
Software Test/Analyst Engineer
Inpeco —Novazzano, TI
- Anglais
- Niveau Master
- Esprit d'analyse
Postuler rapidement
il y a 2 jours
Technical Lead - Payment Modules & Acquirer Integrations
Wallee Group AG —Winterthour, ZH
- Travail hybride
- Conception de systèmes
- Anglais
- Java
Postuler rapidement
il y a 2 jours
Software Senior Engineer - Mobile APPs
ABB S.p.A. —Quartino, TI
- 100%
- Gestion du personnel
- Anglais
- Niveau Master
Postuler rapidement
il y a 2 jours
Software Senior Engineer - Desktop
ABB S.p.A. —Quartino, TI
- 100%
- Anglais
- Windows
- Niveau Master
Postuler rapidement
il y a 2 jours
System Engineer Software
Müller Martini AG —Zofingen, AG
- 100%
- Anglais
- Technologies de l'information
- Travail à domicile
- Réduction pour les employés
Platform Engineer (Kubernetes & Infrastructure) 80–100%
Prime21 AG —Suisse
- 100%
- Télétravail
- Anglais
- Bases de données
- Linux

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Delivery Consultant - AI/ML, Professional Services - AWS Industries

AWS EMEA SARL (Switzerland Branch) -
Genève, GE

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Détails de l'emploi

100%
Il y a 3 jours

Avantages

Logement

Qualifications

Informatique
Niveau Doctorat
HIPAA
Java
Niveau Master
AWS
Niveau Licence
Mentorat
Scripting
Systèmes de dossier médical électronique
S3
Compétences en communication
Python

Description complète du poste

DESCRIPTION

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

Experience developing software code in one or more programming languages (java, python, etc.)
Bachelor's degree in computer science or equivalent
3+ years of cloud architecture and solution implementation experience
2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

PREFERRED QUALIFICATIONS

AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Experience scripting for automation (e.g., Python, Perl, Ruby)
Knowledge of security and compliance standards including HIPAA and GDPR
Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
Master's degree in computer science, computer engineering, or related field, or PhD

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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devops engineer cloud emplois

Delivery Consultant - AI/ML, Professional Services - AWS Industries

Software Engineer - (Core DevOps)

Software Test/Analyst Engineer

Technical Lead - Payment Modules & Acquirer Integrations

Software Senior Engineer - Mobile APPs

Software Senior Engineer - Desktop

System Engineer Software

Platform Engineer (Kubernetes & Infrastructure) 80–100%

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