Cloud Solution Architect (CSA) - Azure Cloud-native and AI Applications
Technology, Data & Digital · IT Infrastructure & Security · Cloud Engineering · Data Science · Software Engineering
In short
We are seeking a motivated Cloud Solution Architect specializing in Azure Cloud-native and AI Applications. This customer-facing role involves designing, building, and deploying solutions, removing technical obstacles for customers, and co-developing strategic solutions. A strong background in software development, DevOps, and team collaboration is essential.
Responsibilities
- Understand and analyze customer technical environments to align architectural solutions with business objectives.
- Lead technical architecture projects, ensuring scalable, secure, and reliable solutions.
- Collaborate with customers and partners to define project scopes and technical requirements.
- Develop and implement software solutions using agile methodologies (SCRUM/Agile).
- Create and maintain CI/CD pipelines using Azure DevOps or GitHub.
- Implement security practices and infrastructure as code (IaC).
- Apply observability practices, unit tests, load tests, design patterns, and code best practices.
- Contribute to the creation of technical documentation and progress reports.
Requirements
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 7+ years experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
- Proficiency in written, reading, and conversational Brazilian Portuguese and English.
- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management.
- Enterprise-scale technical experience with cloud native applications through software design, development, deployment and app refactoring/migrations.
- Understanding of large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud).
- Experience with scalable architecture using Web application server technologies and Application Cloud Services like Azure Services (App Service, API management, serverless technologies, container orchestration, microservice frameworks, SDKs).
- Knowledge of Azure, Terraform, and other infrastructure as code tools.
- Experience with software development practices like DevOps and CI/CD tool chains (e.g., Jenkins, Azure DevOps, Git, GitHub, Visual Studio).
- Proven experience in software development, with solid foundation in Software Engineering Fundamentals, being able to design and build production-level solutions that are scalable, secure, and reliable.
- Proficiency in agile methodologies and SCRUM.
- Strong understanding of AI and Generative AI technologies.
- Ability to learn quickly and adapt to a dynamic environment, being passionate about learning and driven by challenges.
- Ability to work collaboratively in a team environment.
- Strong communication and problem-solving skills to solve customer problems through cloud technologies.
Desired Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
- 6+ years experience working in a customer-facing role (e.g., internal and/or external).
- 6+ years experience leading technical projects.
- Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
- Experience in Data & AI projects.
- Experience with observability and system monitoring practices.
- Experience with third-party solution integration and microservices.
Benefits
- Consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- Possibility to request assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
#Cloud#Azure#AI#Solutions Architecture#Customer Success