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Tier-1 employer, metro Bangalore location, mid-level generalist cloud/platform role increases applicant competition.
Core cloud and infrastructure skills transferable, but OT/industrial experience preference increases domain specificity.
Explicit 5-8 years plus mandatory cloud, hybrid, and infrastructure skills enforce stringent filters.
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Design, implement, and evolve cloud-first and hybrid infrastructure platforms supporting engineering analytics, ML/AI, and GenAI workloads focusing on performance, security, and cost-effectiveness.
Lead infrastructure initiatives across architecture, design, deployment, and operational transition collaborating with cross-functional teams including cloud engineers, cybersecurity, and operations.
Ensure secure, scalable, and compliant infrastructure that enables reliable data movement and access to support analytics and AI solutions with measurable business outcomes.
5-8 years of experience in infrastructure architecture, cloud platform engineering, or related technical roles.
Bachelor’s degree in Computer Science, IT, Engineering, or related field, or equivalent experience.
Strong expertise in cloud platforms (AWS, Azure), hybrid architectures, virtualization (e.g., VMware, containers), infrastructure as code, and enterprise networking fundamentals.
Experience supporting industrial, enterprise, or engineering environments with cloud and hybrid infrastructure deployments.
Experienced working at the intersection of engineering, IT/OT, cybersecurity, and data platforms with an infrastructure-first mindset focused on cloud and hybrid environments.
Proven ability to translate complex infrastructure and security requirements into practical, scalable technical designs delivering operational reliability and cost optimization.
Demonstrated skills in collaboration across infrastructure architects, security, operations, and engineering teams to deliver secure, automated, and standardized platform solutions supporting AI and analytics workloads.