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Mid-senior fullstack role in Bangalore with broad cloud and AI skills increases applicant competition.
Requires regulated-industry experience and security/cloud/LLM expertise, reducing cross-industry transferability.
Explicit 6–10 years, regulated-industry experience, and multi-stack cloud/AI/security requirements raise filtering strictness.
Lead design and development of multi-tiered full stack applications with production deployments on AWS.
Integrate AI/ML capabilities using OpenAI APIs, AWS Bedrock, RAG pipelines, and related technologies securely in regulated environments.
Oversee secure development practices aligned with cloud governance frameworks like OWASP, NIST 800-53, ISO 27001.
6–10 years of experience in full stack development with AWS production deployments.
Technical skills: Frontend (JavaScript/TypeScript, React.js, REST API, HTML/CSS), Backend (Python with FastAPI/Flask, PostgreSQL/SQL Server), AWS services (EC2, S3, CloudFront, WAF, Glue, Elastic Beanstalk, Fargate, Secrets Manager, Glacier).
Experience with AI/ML integration (OpenAI APIs, AWS Bedrock, RAG pipelines, PGVector, OpenSearch).
Familiarity with secure development practices and cloud governance frameworks (OWASP, NIST 800-53, ISO 27001); experience in regulated industries (finance, healthcare, insurance).
Experienced in designing cleanly separated, multi-tiered architectures across presentation, business, and data layers.
Demonstrated expertise in secure AI/ML integration in production within regulated domains.
Certified or knowledgeable in relevant security/cloud standards (e.g. AWS Certified Developer, CCSK, CCSP) with strong AWS and DevOps skills (Terraform, Git, CI/CD).