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Strong Tier-1 brand, generalist fullstack title, metro location, and broad skillset increase competition.
Deep Databricks, GenAI, and senior data-application expertise reduce cross-industry transferability.
Multiple explicit years, mandatory tech stack, and certifications create very strict shortlisting filters.
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Lead design and build of scalable, distributed data applications on AWS Databricks platform.
Integrate GenAI and agentic AI technologies to automate application development lifecycle.
Ensure application architecture meets security, compliance, scalability, and enterprise standards while mentoring engineers.
12+ years IT experience with Bachelor's degree in a technical field.
Strong experience (10+ years) with full stack development using Java, Python, Spring Boot, Angular/ReactJS or similar.
5+ years designing distributed, event-driven, API-first systems with focus on reliability and security.
Deep expertise with AWS (EC2, EKS/ECS, IAM, API Gateway, S3, Lambda), Databricks Lakehouse (Unity Catalog, Delta Lake, MLflow), LLM/GenAI ecosystem (LangChain, LangGraph), and SQL/NoSQL databases.
Experienced in architecting complex, data-centric applications with strong system design skills across AWS and Databricks.
Demonstrated ability to lead engineering teams, influence best practices, and manage security and compliance in regulated environments (e.g. SOX, GDPR).
Proficient with DevOps tools and practices including CI/CD pipelines, automated testing, and cloud security best practices.