JD:
Technical Skills
- Frontend: React TypeScript design systems (e.g. Figma-based token-driven)
- Backend: Python Core C#
- Databases: SQL NoSQL (Postgres MongoDB)
- Data Technologies: AWS-native tools (DynamoDB Aurora S3 Glue Athena Redshift)
- Architecture: Microservices event-driven systems distributed design
- Cloud: AWS (e.g. Certified Developer/Architect) Azure
- DevOps: GitHub Actions Jenkins
- Containers: Docker Kubernetes
- Security: Secure-by-design systems threat modelling
- Testing: Unit regression contract testing CI/CD automation
- Observability: Prometheus Grafana OpenTelemetry (if relevant)
AI & Emerging Technology
- 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
JD:Technical SkillsFrontend: React TypeScript design systems (e.g. Figma-based token-driven)Backend: Python Core C#Databases: SQL NoSQL (Postgres MongoDB)Data Technologies: AWS-native tools (DynamoDB Aurora S3 Glue Athena Redshift)Architecture: Microservices event-driven systems distributed desig...
JD:
Technical Skills
- Frontend: React TypeScript design systems (e.g. Figma-based token-driven)
- Backend: Python Core C#
- Databases: SQL NoSQL (Postgres MongoDB)
- Data Technologies: AWS-native tools (DynamoDB Aurora S3 Glue Athena Redshift)
- Architecture: Microservices event-driven systems distributed design
- Cloud: AWS (e.g. Certified Developer/Architect) Azure
- DevOps: GitHub Actions Jenkins
- Containers: Docker Kubernetes
- Security: Secure-by-design systems threat modelling
- Testing: Unit regression contract testing CI/CD automation
- Observability: Prometheus Grafana OpenTelemetry (if relevant)
AI & Emerging Technology
- 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
View more
View less