Software Developer

Validates foundational knowledge of Git and GitHub concepts, repository workflows, collaboration, DevOps practices, project management, and platform security and administration.

Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.

Validates the ability to integrate foundation models into applications and business workflows on AWS, including RAG/vector stores, agentic solutions, safety/governance, optimization, and testing/troubleshooting.

Validates ability to secure AWS workloads by designing detection, incident response, infrastructure controls, IAM, data protection, and governance to meet security and compliance requirements.

Assesses business-focused knowledge of generative AI concepts and Google Cloud gen AI offerings, including selecting use cases, improving model output, and driving secure and responsible adoption across an organization.

Validates skills to design, build, deploy, secure, and monitor Azure solutions across compute, storage, integrations, and app services using Azure SDKs and developer tools.

Assesses technical and managerial competence to design, engineer, implement, and manage an organization’s information security posture across eight security domains.

Validates ability to implement, orchestrate, and operate data pipelines on AWS, including selecting data stores, managing schemas/lifecycles, ensuring data quality, and applying security and governance best practices.

Evaluates a candidate’s ability to design, implement, operate and govern cloud security across architecture, data, platforms, applications, operations, and legal/risk/compliance requirements.

Assesses the ability to apply agile principles and practices across frameworks to lead teams, manage product work, and deliver value using iterative delivery, feedback, and continuous improvement.

Assesses ability to design, plan, provision, secure, optimize, and operate scalable and cost-effective solutions on Google Cloud using Well-Architected principles.

Assesses ability to design, configure, and operate security controls on Google Cloud across identity and access, network perimeter and segmentation, data protection, security operations, and compliance-aligned governance.

Validates foundational knowledge of the AWS Cloud, including cloud concepts, security and compliance, core services and use cases, and AWS billing, pricing, and support resources.

Validates baseline cybersecurity knowledge and skills to assess threats, implement secure architecture and operations, and manage risk, governance, and compliance across enterprise environments.

Assesses foundational knowledge and practical skills for installing, operating, and troubleshooting networks across fundamentals, access, IP connectivity/services, security, and automation.

Validates intermediate-level skills to detect and analyze threats, manage vulnerabilities, execute incident response, and communicate security findings using common frameworks, tools, and reporting practices.

Validates ability to design secure, resilient, high-performing, and cost-optimized solutions on AWS based on the AWS Well-Architected Framework.

Assesses foundational knowledge of AI and machine learning concepts and how they map to Azure AI services, including responsible AI, computer vision, NLP, and generative AI workloads.