דרושים Specialist Sa - Container Solution Architects ב-אמזון ב-Mexico, Mexico City

Key job responsibilities
Key job responsibilities
In this role, you will:
• Work with engineering and the supply chain team to set program cost targets at a commodity level for your project.
• Track the program actual costs versus target to identify program deltas and corrective actions to bring back on track.
• Attend program new product introduction meetings to understand the cost implication of engineering and/or process changes as related to your product fully loaded cost targets.
• Work with the OEM to set your product purchase order cost for the upcoming period.
• Manage purchase price variance claims resulting from engineering changes, component obsolescence or forecast variance.
• Drive the supply chain and operations team to provide detailed cost reduction forecast that enable you to meet and exceed your product goals.
• Host executive management cost reviews that deep dive through every aspect of your product cost.
• Finalize the optimum supply chain and sourcing plan for your product and drive the cross-functional team to ensure its implementation.A day in the life

- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- 5+ years of managing complex technology projects working directly with engineering teams
- 5+ years in supply chain and/or manufacturing for complex systems/devices
- Excellent analytical and communication skills; meticulous attention to details
- Experience in relevant industries with a holistic view and keen business acumen
- Technical aptitude and familiarity with the design and working of complex systems
- Proven track record of complex and creative problem solving and the desire to create new processes or simplify and improve on current ones
- Proven ability to influence others, facilitate agreement among stakeholders with different interests

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, 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.About AWSWork/Life Balance
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.

- Bachelor's degree in computer science or equivalent
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

- Master's degree in computer science or equivalent
- Experience in computer architecture
- Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training.

Key job responsibilities
In this role, you will need to be technically capable and credible in your own right as well as effective in shaping the customer-facing and technical skills of your team. In addition to technical knowledge and leadership experience it is important to have a solid understanding of the Startup journey. We are looking for technical builders who love the idea of working with early-stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. You will also have a solid understanding of the unique challenges startups face and how technology can empower their businesses.
A day in the life
Hire, on-board, train, and develop new Solutions Architects

- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

Key job responsibilities• Working closely with our product and field teams, you will help enable new capabilities for our customers to develop and deploy Container based services on AWS infrastructure
• Design best in class Container infrastructure solutions for all stages of customer and product lifecycles.
• You will have the technical depth and business experience to deploy container strategies.
• Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment.
• You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
• Thought Leadership - Evangelize and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Act as a technical liaison between customers and the AWS teams to provide customer driven product improvement feedback.
• Develop and support an AWS internal community of related subject matter experts.
A day in the lifeAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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 AWSWork/Life BalanceMentorship and Career GrowthWe’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.

- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- Associate's degree or above
- Experience architecting/operating solutions built on AWS
- 3+ years of experience in designing architectures, implementation experience and workload migrations to the Cloud in migration and modernization services (Kubernetes, Container services)

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.Key job responsibilities
• Working closely with our product and field teams, you will help enable new capabilities for our customers to develop and deploy data workloads on AWS infrastructure.• Design best in class DATA solutions for all stages of customer and product lifecycles.• You will have the technical depth and business experience to deploy data strategies, analytics, ML/AI and storage• Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment.• You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.• Thought Leadership - Evangelize and stay ahead of FSI trends, regulations, and compliance requirements. Develop industry-specific solutions and represent AWS at key events and conferences and public-speaking events such as AWS Summit, AWS re: Invent, etc.• Act as a technical liaison between customers and the AWS teams to provide customer driven product improvement feedback.• Develop and support an AWS internal community of related subject matter experts and develop blogs, whitepapers and reference architectures
A day in the life
In this role, you will immerse yourself in the dynamic world of cloud architecture, working closely with leading financial institutions to design, scalable, and secure cloud solutions. Your day will be filled with engaging challenges, from conducting technical deep-dives and workshops to presenting innovative solutions and proof of concept implementations to C-level executives. You will be at the heart of AWS's mission to empower customers business with the best in cloud technology, ensuring they use scalable, resilient, and cost-efficient architectures. Working closely with account Solution Architects and other customer facing teams.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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 AWSWork/Life BalanceMentorship and Career GrowthWe’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.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of IT development or implementation/consulting in the software or Internet industries experience

- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities
- 3+ years of experience in Financial Services Industry, communicating across technical and non-technical audiences, including at the C-level

What You'll Do:
- Dive deep with both customers and internal stakeholders to determine technical requirements, architectures, and outcomes
Identify, refine, document, and distribute content on use cases across many verticals
Be creative to resolve technical and commercial blockers- Create and capture best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts)
- Contribute to the growth of the Solutions Architecture organization by hiring, coaching and mentoring others.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience in a variety of industries, including energy, utilities, agriculture, finance, healthcare, media and entertainment, telecommunications, and manufacturing.

Possessing a deep understanding of AWS products and services, as a Senior Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI 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 strategies for implementing AI solutions on AWS. As a trusted advisor to our customers, you will provide guidance on industry trends, emerging technologies, and innovative solutions, leading the implementation process while ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective AI implementation strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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 AWSMentorship and 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

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of experience in cloud architecture and implementation
- 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.
- Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models
- Ability to communicate effectively in English (B2+) within technical and business settings

- Ph.d degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learnine Associate)
- Experience with automation and scripting (e.g., Terraform, Python)
- Experience with AWS AI services such as SageMaker, Bedrock, and other ML services
- Portuguese B2+ is a plus