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Senior leadership role at a strong brand reduces applicant volume but still attracts experienced candidates.
Enterprise Java/cloud/GenAI skills transfer across industries, though corporate actions domain is preferred.
Explicit 13–16 years, specific Java/cloud/AI requirements, and mentoring expectations make hiring filters strict.
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Lead development of high-performance, scalable full-stack applications focusing on Java backend and cloud-native microservices.
Integrate and embed GenAI and LLM tools into software platforms to enhance engineering productivity and quality.
Own platform evolution including APIs, containerized deployments, and AI-augmented development workflows.
13–16 years of full-stack development experience in enterprise environments.
Strong expertise in Java and cloud-native application development including microservices and containerization (Docker, Kubernetes).
Experience integrating AI/GenAI developer tools and LLM APIs.
Bachelor’s degree in computer science or related field (or equivalent practical experience).
Experienced senior engineer with a strong background in scalable architectures, DevSecOps, and performance tuning within enterprise software.
Proven track record in embedding AI/ML capabilities into developer workflows and delivering end-to-end cloud-native solutions.
Demonstrated leadership in mentoring teams, driving engineering best practices, and innovating with emerging AI technologies.