You'll have - 

• Bachelor's degree in Computer Science, Engineering, Information Systems, or similar field or relevant professional experience, education, and training. 

• Minimum 2+ years of experience in software engineering, with a focus on cloud infrastructure engineering in an multi cloud ecosystem including architecture, deployment and management of enterprise cloud solutions. 

• Extensive hands on experience with major cloud platforms such as AWS, Azure, or Google Cloud (AWS is most preferred ) 

• Extensive hands on experience in  implementing, and managing cloud infrastructure platforms using  Kubernetes, Control Plane architecture, Custom Resource Definitions (CRDs), auto scaling of Kubernetes clusters using Karpenter or related tools. Crossplane experience would be a good to have.  

• Experience in integrating observability tools such as Splunk, Cortex, Thanos etc 

•  Strong hands-on programming skills in languages such as Python, GoLang, Java, JavaScript  

• Hands-on experience implementing and supporting modern software architectural principles and patterns (REST, domain-driven design, Devops, microservices, etc.) 

• Experience with implementing and integrating AI, Machine Learning, GenAi and related data solutions with exposure A2A and MCP protocols  preferred  

• Ability to build and maintain relationships with multiple peers and cross-functional partners