דרושים Fsi Specialist Cap Markets ב-אמזון ב-Brazil, São Paulo

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.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 artifactsAbout the team
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.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.

8+ years of experience in cloud architecture and implementation.Bachelor’s degree in computer science, engineering, or related field.1+ year experience working with technologies related to large language models including LLM architectures, model evaluation, adapters, model customization including pre-training and fine-tuning techniques.7+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture as well as to machine learning, deep learning, NLP, CV, GNN, or distributed training.10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

AWS experience preferred, with proficiency in a wide range of AWS services (e.g.; EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)AWS Professional level certifications (e.g., Solutions Architect, DevOps Engineer Professional) preferredExperience with automation and scripting (e.g.,Terraform, Pyhton)Knowledge of security and compliance standards (e.g., HIPAA, GDPR)Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiencesPhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.Spanish B2+ is a plus

Amazon Web Services (AWS) is looking for an experienced and motivated technologist who possess a unique balance of industry knowledge, technical depth and strong interpersonal skills. As the AWS Financial Services Senior Solutions Architect, you will work with some of the world’s largest financial services companies, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address industry business problems and accelerate the adoption of AWS services.Financial Services Solutions Architects are viewed as experts in their domain, and support customer engagements when those engagements require deep and authoritative industry expertise, and a keen understanding of architectural and technical requirements. The Solutions Architects will influence the definition of the technical strategy for their industries by:
• Identifying patterns
• Defining technical trends that can affect the industry
• Publishing reference architectures
• Building industry quickstarts and other development kits
• Collecting technical best practices in the industry
Key job responsibilities• With the broader Financial Services team, develop technical elements of the strategic plan for accelerating adoption of AWS across the industry
• You will be responsible for establishing technical credibility in the sales cycle (personally or with the broader technical team) by supporting discussions across our Financial Services customers and partners
• Educate customers of all sizes on the value proposition of AWS within Financial Services, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, service engineering teams and support
• Serve as a technical domain expert on deploying Financial Services industry workloads and applications on AWS
• Architect solutions leveraging AWS technology, including solution development and potentially demonstrate technical feasibility through mechanisms including proof-of-concepts and/or prototypes
• Travel may be required for this role, up to 25%About the team
Diverse Experiences
AWS 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.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

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

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.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 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.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

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

Artificial Intelligence (AI) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.Key job responsibilities
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
About the team
About 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 or equivalent with 5+ years of relevant experience, or Master’s degree in computer science or equivalent with 3+ years of experience.
- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- 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.
- Able to communicate effectively in English and Portuguese within technical and business settings

- Ph.d degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2.
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Spanish B2+ is a plus

Key job responsibilities
Strategic customer engagement:Adoption program development:Track and analyze adoption metrics to measure effectiveness and identify areas for continuous improvement.Product feedback loop:Collect and communicate customer feedback, insights, and requirements directly to AWS Go-To-Market and product teams.
Diverse ExperiencesAmazon 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.Work/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.

- 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Bachelor's degree in science, technology, engineering, math, business or equivalent
- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams

- PMP certification, or SCRUM/Agile, SAFe certification
- Experience implementing cloud services including migrations and modernization projects or similar

Key job responsibilities
A day in the life
About 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 AWS
Work/Life BalanceMentorship 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.

- Bachelor's degree
- 7+ years of relevant GTM, Sales, or Consulting experience
- 5+ years of Analytics experience

- - Exceptional interpersonal and communication (both written and verbal) skills.
- - Experience communicating with both technical and non-technical stakeholders across multiple teams, as well as internal and external executive stakeholders. ·
- - Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.
- - Experience and success in negotiating complex deals with customers and partners.
- - Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.
- - Deep understanding of cloud technologies, including public and hybrid cloud platforms.
- - Technical background in engineering, computer science, or MIS a plus.

Why This Role* Deep technical expertise (still hands-on)
* Scalable mechanism design (programs, frameworks, enablement)
* Startup empathy (credible in front of developers and co-founders)
* AI/data native perspective (helping startups turn data into their moat)This role offers the chance to shape how AWS engages startups at scale — while working at the frontier of cloud + data + AI innovation.
Key job responsibilities
Technical Leadership & Mechanism Building* Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
* Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
* Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
* Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.Principal SAs for Startups should have depth and expertise in one of the following technical domains, but the technical curiosity to become proficient in all:* ML/AI Infrastructure:
* Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
* Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
* Build and optimize model serving architectures and inference systems for cost and latency.
* Cloud Native & Kubernetes:
* Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
* Ensure security, compliance, and observability in containerized workloads.
* DevOps & Reliability:
* Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
* Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
* Data Strategy & Foundations:
* Advise startups on proprietary data strategy as a moat: collection, quality, labeling, governance.
* Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
* Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
* Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).* Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
* Translate insights into actionable guidance for startups and scalable mechanisms for the org.
* Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.Scaling & Developer Enablement* Build repeatable solutions and reference architectures addressing common startup pain points.
* Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
* Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance.About 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 AWSWork/Life BalanceInclusive Team CultureMentorship 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.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
- Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
- Technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
- Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.

- Experience building, deploying, and operating systems and infrastructure at hyperscale.
- Contributions to open-source or developer communities.
- A portfolio of technical publications, talks, or thought leadership.
- The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.