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Mid-level cloud role in Bangalore with common 4-5yr requirement and generalist scope increases candidate competition.
Cloud-native and distributed-systems focus requires specific experience, but skills are moderately transferable across industries.
Explicit 4–5 years requirement plus mandatory cloud, distributed systems, and production service ownership increases shortlisting strictness.
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Build and own cloud-native services and APIs supporting AI-enabled workflows with end-to-end responsibility including development, testing, release, and production operations.
Contribute to data modeling and system design decisions emphasizing scalability, reliability, and security in distributed systems.
Support production environments by troubleshooting issues, implementing fixes, and participating in CI/CD pipelines and deployment processes.
4 to 5 years of relevant experience in building and operating production cloud services.
University degree in computer science, mathematics, IT, or relevant professional experience with qualified technical training.
Strong knowledge of distributed systems, cloud-native architectures, scalability, reliability, and security.
Experience with automation, CI/CD pipelines, service ownership, and working under minimal supervision.
Experienced in designing and operating scalable, reliable, and secure cloud-native distributed systems with AI integration at the system level.
Comfortable owning full lifecycle of software including deployment and production support in an AI-first engineering environment.
Skilled at collaborating with senior engineers and using AI development tools while applying strong engineering judgment.