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Established employer and Bangalore metro increase interest, but senior specialization reduces candidate pool.
Deep enterprise cloud, platform, and GenAI expertise required, moderately transferable across industries.
Explicit 12+ years requirement plus many mandatory tech, architecture, and leadership qualifications.
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Drive technical vision, architecture, and engineering strategy across cloud-native and AI-powered enterprise platforms.
Lead modernization programs including monolith to microservices transformations, cloud migration, and platform consolidation.
Architect and implement AI solutions including Generative AI, Agentic AI workflows, and enterprise cloud platform engineering across AWS, Azure, and GCP environments.
12–18+ years of software engineering experience with proven leadership in enterprise technology transformation.
Expert-level experience in PHP (Laravel/Symfony), Java Spring Boot, distributed systems, and cloud-native architectures.
Deep expertise in AI/ML concepts including Generative AI, Agentic AI, Prompt Engineering, and operationalizing ML models.
Bachelor's or Master's degree in Computer Science, Engineering, IT, AI, or related field.
Proven track record as Principal Engineer, Staff Engineer, or Enterprise Architect leading multi-team technology strategies.
Experience with large-scale modernization and cloud transformation projects using microservices, Kubernetes, and Infrastructure-as-Code.
Strong in AI/ML and Generative AI with hands-on experience using Azure OpenAI, AWS Bedrock, Google Vertex AI, and building AI agent workflows.