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Mid-level fullstack with AWS/LLM in Bangalore at a known firm yields high applicant density.
Core fullstack and cloud skills are transferable but regulated-industry experience increases fit sensitivity.
Explicit 6–10 years, mandatory fullstack/AWS/DevOps/ML integration skills make shortlisting highly strict.
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Own full stack development with production-grade deployments on AWS, focusing on multi-tiered architecture design.
Integrate AI/ML solutions such as OpenAI APIs, RAG pipelines, and semantic search into secure production environments.
Ensure adherence to secure development practices and cloud governance frameworks in regulated industry projects.
6–10 years of full stack development experience with production deployments in AWS.
Proficient in frontend technologies: JavaScript/TypeScript, React.js, REST API, HTML/CSS; backend: Python (FastAPI/Flask), RESTful APIs, PostgreSQL/SQL Server.
Experience with AWS services including EC2, S3, CloudFront, WAF, Glue, Elastic Beanstalk, Fargate, Secrets Manager, Glacier.
Familiarity with secure development and cloud governance standards (e.g., OWASP, NIST 800-53, ISO 27001) and experience in regulated industries (finance, healthcare, insurance).
Demonstrated ability to design and implement multi-tiered software architectures on cloud platforms with strong security controls.
Hands-on experience integrating AI/ML technologies into live applications within regulated environments.
Certified or equivalent expertise in cloud development and security (AWS Certified Developer, CCSK, or CCSP).