Bachelor’s degree in Computer Science, Engineering, Information
Technology, or equivalent practical experience.
8+ years of professional IT experience.
4+ years of experience in cloud, platform engineering, DevOps,
automation, application modernization, or related areas.
Hands-on experience with AWS, Azure, and/or Google Cloud.
Experience delivering cloud migration and cloud platform
modernization initiatives, including assessment, planning,
dependency analysis, landing zones, migration waves, cutover, and
validation.
Experience with Terraform, Bicep or another Infrastructure as
Code technology.
Experience with CI/CD, containers, Kubernetes, automation, and
cloud-native application patterns.
Strong scripting or programming skills in Python, PowerShell,
Bash, or a comparable language.
Practical experience using AI coding assistants or agentic
development tools.
Understanding of LLMs, generative AI applications, RAG, prompt
engineering, agents, and model APIs.
Ability to review, secure, test, and productionize AI-generated
code.
One or more relevant professional certifications, such as:
Certified Kubernetes Administrator (CKA) or Certified
Kubernetes Application Developer (CKAD).
AWS Certified Solutions Architect – Associate or Professional.
AWS Certified AI Practitioner.
Microsoft Certified: Azure AI Fundamentals or Microsoft
Certified: Azure Solutions Architect Expert.
Relevant NVIDIA AI, Generative AI, or AI infrastructure
certification.
Claude Certified Architect or an equivalent AI architecture
certification.
Strong consulting, communication, technical writing, and
customer-facing skills.
