Production-level hands-on experience with TypeScript, React, Next.js, and modern CSS frameworks (e.g., Tailwind CSS).
Production-level hands-on experience with Node.js (Express/NestJS) and/or Python (FastAPI/Django).
Experience with relational databases (PostgreSQL/AWS Aurora) and vector data stores (Amazon OpenSearch Serverless, pgvector, or Pinecone).
Deep familiarity with AWS services (Lambda, ECS/EKS, S3, API Gateway, DynamoDB) and/or GCP services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub).
Experience with Infrastructure as Code (Terraform, AWS CDK, or GCP Deployment Manager).
Experience with Amazon Bedrock (interacting with Foundation Models like Claude or Llama), Google Vertex AI, LangChain/LlamaIndex, and RAG architectures.
Proficiency with Docker and CI/CD platforms such as GitLab CI.
Experience with automated testing frameworks (Jest, PyTest, Playwright, or Cypress).
Strong focus on code quality, architecture, and design; ability to review and refactor code rigorously to ensure maintainability and prevent technical debt.
DevOps mindset with the ability to safely deploy, monitor, and maintain applications in cloud-native environments.
Advanced proficiency with AI coding assistants (Cursor, GitLab Duo, or Claude Code).
Preferred
Experience establishing developer platforms or internal tooling to improve team velocity.
Background in advanced cloud security and IAM role management.
AWS Certifications (e.g., AWS Certified Developer, DevOps Engineer, or Machine Learning Specialty).
Experience with observability tools (Datadog, AWS CloudWatch, Google Cloud Monitoring, or Google Cloud Logging).
