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Amazon

Solutions Architect - Vaga Afirmativa para Mulheres, LATAM CSC SA

Sao Paulo, Sao Paulo, BRA

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
BR
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Do you get energized helping customers solve complex problems—not just on a whiteboard, but by building alongside them?

We're looking for a Solutions Architect to join our CSC Brazil team, working with enterprise customers across the full breadth of their cloud journey. You'll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward.

We value practitioners—people whose judgment is grounded in real-world experience building and shipping solutions. You'll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business—you'll bring curiosity, technical depth, and a bias for action.

If you thrive in ambiguity, adapt quickly when priorities shift, and measure your success by the outcomes you help customers achieve—we'd love to hear from you.

We value diversity in all its forms — we believe that teams made up of people with different backgrounds, experiences, perspectives, and ways of thinking are more creative, innovative, and resilient. Here, every voice matters and contributes to our collective growth.

  • Key job responsibilities
  • - Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads

- Work hands-on with customer and partner teams—building prototypes, proofs of concept, and production-ready architectures together

- Guide customers through cloud migrations—helping them move workloads efficiently and securely

- Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences

- Share knowledge broadly through workshops, technical content, and community engagement

  • A day in the life
  • In this role, you'll engage directly with customers to understand their business objectives and technical requirements, then architect cloud solutions that address their specific needs. You might spend your morning collaborating with a startup to design their initial cloud infrastructure, then transition to working with an enterprise team on migrating complex legacy systems to AWS. Throughout your day, you'll partner with AWS specialists and customer teams to validate architectural decisions, troubleshoot challenges, and ensure solutions align with both technical best practices and business goals. You'll also contribute to improving our architectural guidance and resources based on real-world customer experiences, helping shape how we support organizations of all sizes.
  • About the team
  • You'll be part of the AWS CSC Solutions Architecture team. We work with enterprise customers across industries—helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. Our team values builders who are curious, collaborative, and customer-obsessed. We learn from each other, support each other's growth, and celebrate diverse perspectives. Whether you're presenting to executives or coding alongside engineers, you'll find a team that values both technical depth and human connection.

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.

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.

Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

Basic qualifications

  • - 2+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • - Knowledge of cloud computing concepts and design considerations
  • - 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
  • - Experience scripting languages and coding skills for one (1) or more of the following: Ruby, C/C++/C#, Node.JS, Java, Python, and PHP
  • - Experience in English-language communication skills, both written and verbal
  • - AI literacy: Familiarity with large language models (LLMs), core machine learning concepts, model types (supervised, unsupervised, generative), prompt engineering basics, and generative AI use cases relevant to enterprise customers (e.g., document processing, code generation, conversational AI).

Preferred qualifications

  • - Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics
  • - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
  • - Experience architecting, migrating, or building solutions on cloud platforms, with hands-on experience with AWS services. Desirable knowledge of AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Quick, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, etc.
  • - AI/ML certifications: AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty certification desired. Equivalent certifications from other cloud providers are also welcome.

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.

Original posting on Amazon's site ↗

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