Work on designing hybrid cloud architecture patterns, product evaluations, and enablement efforts to build solutions using IaaS, PaaS, and SaaS capabilities. Stay up to date with industry trends and advancements in AI technologies including GenAI and apply them to build new capabilities. Strong understanding of private and public cloud technologies, architectures, network designs, etc., along with working experience of one of the major public cloud service providers - AWS, GCP, or Azure. GCP experience preferred. Knowledge of GenAI services on GCP, AWS or Azure. Proven experience and understanding of working with AI & ML technologies. Understanding of platform architecture, high availability, fail-over, disaster recovery planning, and implementation considerations based on service level agreements. Knowledge of business intelligence solutions such as Tableau, Qlik, etc. and analytics solutions such as H2O, Dataiku, Google Vertex AI, etc. Exposure to Big Data technologies like Hadoop, Spark, Hive, Impala, HBase, YARN, etc. using distribution from Cloudera or MapR. Cloudera experience preferred. Hands on work with one of the major programming languages Java, Python, Ruby, etc. Working knowledge of container technologies, Kubernetes, Infrastructure as Code (IaC), and CI/CD. Excellent written and verbal communication skills. Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities. Self-starter able to work with minimal supervision and in a global team of members with diverse skills and backgrounds. Experience in moving application workloads from on-premises Hadoop platforms to GCP (Google Cloud Platform) IaaS services like Google Cloud Engine, and Google Cloud Storage and/or PaaS services like Dataproc, Big Query, and Big Table. Bachelor's degree required, 8 or more years of experience in Computer Science, Applications, or relevant technologies ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Oct 29, 2025 ------------------------------------------------------