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Generic fullstack Lead title, mid-level range, and Bangalore location drive high applicant competition.
Preference for regulated-industry, secure cloud and LLM experience increases domain specificity and reduces transferability.
Explicit 6–10 years, mandatory fullstack, AWS, security, AI/LLM and certifications create high filtering strictness.
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Lead full stack development projects with production deployments on AWS, ensuring multi-tiered architecture design with clean separation of layers.
Design and integrate AI/ML solutions including RAG pipelines, semantic search, and secure LLM deployment in production environments.
Ensure secure development practices and adherence to cloud governance frameworks within regulated industry contexts such as finance, healthcare, or insurance.
6–10 years of experience in full stack development with AWS production deployments.
Proficiency in JavaScript/TypeScript (React.js), Python (FastAPI or Flask), REST API development, and SQL databases (PostgreSQL or SQL Server).
Experience with AWS services including EC2, S3, CloudFront, WAF, Glue, Elastic Beanstalk, Fargate, Secrets Manager, Glacier.
Familiarity with secure development practices and cloud governance frameworks (e.g., OWASP, NIST 800-53, ISO 27001).
Experienced operating in regulated industries such as finance, healthcare, or insurance with security and compliance focus.
Hands-on expertise integrating AI/ML technologies (OpenAI APIs, AWS Bedrock) and advanced search/data vectorization (PGVector, OpenSearch).
Strong architectural background with ability to design scalable multi-tier systems and lead technical teams effectively.