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Strong Tier-1 brand and metro location increase applicant density despite senior specialization.
Cloud architecture and AI skills transfer across industries, though financial/regulatory experience is preferred.
Explicit 12+ years and mandatory cloud, architecture, and AI skills create strict filtering criteria.
Lead design and development of scalable, secure enterprise platforms and digital products with an emphasis on cloud-native, API-first architectures and AI-driven solutions.
Define end-to-end solution architectures for complex business problems and establish engineering standards focused on distributed systems, microservices, event-driven architectures, and cloud platforms (AWS, GCP, Azure).
Drive cloud transformation initiatives including containerization, Kubernetes, AI integration, and provide technical leadership from architecture through deployment and operational support.
Minimum 12+ years of software engineering experience with expertise in large-scale enterprise applications and solution architecture.
Hands-on experience with cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
Practical experience implementing AI and Generative AI solutions including LLM integrations and RAG architectures.
Proficiency in Java and/or Python; Work Experience Required: 12+ years explicit; Notice Period: Not explicitly mentioned in the JD.
Demonstrated ability to lead complex, technical architecture and engineering efforts in regulated, enterprise or financial services contexts.
Strong background in distributed systems, microservices, cloud-native deployments, and AI-driven solution design with hands-on coding capability.
Experienced in collaborating with cross-functional teams to influence and drive technology strategies and operationalize AI responsibly in large environments.