4 Ofertas de Cloud Services en Chile
Delivery Consultant - Cloud Infrastructure, Professional Services
Publicado hace 24 días
Trabajo visto
Descripción Del Trabajo
The AWS Professional Services (ProServe) 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.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Cloud Infrastructure to join our team at Amazon Web Services (AWS). This is a hands-on role, and 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 - Cloud Infrastructure 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.
This is a customer facing role. You could be required to travel to client locations and deliver professional services as needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
A day in the life
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: 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 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 inspire us to embrace our uniqueness.
Mentorship & Career Growth: We raise our performance bar as we strive to become Earth's Best Employer. You'll find knowledge-sharing, mentorship and career-advancing resources here to help you develop as a professional.
Work/Life Balance: We value work-life harmony. Success at work should not require sacrifices at home, which is why we strive for flexibility in our working culture. When we feel supported in the workplace and at home, we deliver our best work.
Basic Qualifications
- 5+ years of experience in cloud architecture and IT implementation, with AWS expertise preferred.
- Demonstrated expertise in cloud services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Proficiency in programming/scripting languages and modern development methodologies.
- Track record of leading enterprise-scale software delivery, architecture design, and migration planning.
- Able to communicate effectively in English within technical and business settings
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience
Preferred Qualifications
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Delivery Consultant - Cloud Infrastructure, Professional Services
Hoy
Trabajo visto
Descripción Del Trabajo
The AWS Professional Services (ProServe) 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.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant - Cloud Infrastructure to join our team at Amazon Web Services (AWS). This is a hands-on role, and 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 - Cloud Infrastructure 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.
This is a customer facing role. You could be required to travel to client locations and deliver professional services as needed.
Key job responsibilitiesAs an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration 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
- 5+ years of experience in cloud architecture and IT implementation, with AWS expertise preferred.
- Demonstrated expertise in cloud services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Proficiency in programming/scripting languages and modern development methodologies.
- Track record of leading enterprise-scale software delivery, architecture design, and migration planning.
- Able to communicate effectively in English within technical and business settings.
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent combination of education and practical experience.
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-LjbffrCloud AI Engineer, Professional Services, Google Cloud
Publicado hace 2 días
Trabajo visto
Descripción Del Trabajo
For Mexico applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
**Minimum qualifications:**
+ Bachelor's degree in Computer Science or equivalent practical experience.
+ 6 years of experience building machine learning solutions and working with technical customers.
+ Experience designing cloud enterprise solutions and supporting customer projects to completion.
+ Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
+ Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.
+ Ability to communicate in English fluently as this is a customer-facing role.
**Preferred qualifications:**
+ Experience working with recommendation engines, data pipelines, or distributed machine learning.
+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
+ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
+ Understanding of the auxiliary practical concerns in production machine learning systems.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you will work with key Google Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Be a trusted technical advisor to customers and solve complex machine learning challenges.
+ Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.
+ Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
+ Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
+ Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Cloud AI Consultant, Professional Services (English)
Publicado hace 2 días
Trabajo visto
Descripción Del Trabajo
For Only Mexico City Applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience in project management and delivering technical solutions.
+ Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
+ Experience with technical client service (e.g., consulting).
+ Ability to communicate in English fluently, in order to interact with clients.
**Preferred qualifications:**
+ Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
+ Experience designing and deploying with one or more of the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
+ Experience in designing and deploying agentic AI workflows for business process automation.
+ Experience implementing AI solutions in contact center environments.
+ Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
+ Excellent verbal and written communication, presentation and problem-solving skills.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Consultant, you will work directly with Google's most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. To be successful, you know how to navigate ambiguity, you are a technical expert in your field, and you can deliver customer success. You have excellent client-facing communication and project management skills.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities:**
+ Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
+ Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices.
+ Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
+ Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
+ Travel approximately 30% of the time for client engagements, as required.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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