Experience 15yrs Architecture\: Microservices, event-driven systems, distributed design Frontend\: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven) Backend\: Python, Node.js, Java, .NET Core, C# Databases\: SQL, NoSQL (Postgres, Oracle) Cloud\: AWS (e.g. Certified Developer/Architect) DevOps\: GitHub Actions / Jenkins Containers\: Docker, Kubernetes Observability\: Prometheus, Grafana, OpenTelemetry (any industry tool Knowledge of Workflow technologies - Pega, Appian, Power, Temporal, StepFunctions (any of these) Incident Management\: Lead and manage P1/P2 incidents from detection to resolution, coordinating cross-functional teams (Infra, App, Network Data Technologies\: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift) Security\: Secure-by-design systems, threat modelling Understand how AI and machine learning can enhance software engineering workflows and productivity Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs) Use AI powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development Are curious about agentic systems and AI experimentation in real-world product environments