Technical Requirements

Languages & Frameworks

• Preferred: JavaScript / TypeScript

• Also considered: Python, PHP, Java, or any object-oriented language

• Frontend: React.js (preferred), but experience with Angular or Vue is also valued

Databases

• Relational: MySQL (preferred), PostgreSQL, though experience with other RDBMSs is also considered

• Non-Relational:MongoDB (preferred), experience with other NoSQL databases is a plus

• Data Warehousing: BigQuery (preferred) or other DW platforms is a differentiator

Cloud & Infrastructure

• Preferred: Google Cloud Platform (GCP)

• Also considered: AWS or Azure

• Containers & Systems: Docker, Linux

Architecture & DevOps

• Microservices

• Message Queuing

• Git

• CI/CD *(GitHub Actions, Cloud Build)*

Modern Practices

• Application Prototyping

• AI Programming *(GitHub Copilot, Cursor, OpenAI, etc.)

• Software/Solution Architecture

Other

• Data Warehousing (DW)

• Automated testing (unit, integration, and functional)

• Documentation tools (Jira, Confluence, Lucid)

Responsibilities

• Design, develop, test, and deliver scalable, secure, reliable, and user-friendly software solutions

• Collaborate with stakeholders to gather requirements, propose solutions, and align deliverables with business goals

• Participate actively in agile ceremonies (Scrum), design discussions, and retrospectives

• Document architectures and solutions using diagrams, prototypes, and clear code documentation

• Work in controlled development environments using Docker and modern DevOps practices

• Develop full stack applications using modern languages and both relational and non-relational databases

• Use AI-assisted tools to accelerate development while maintaining code quality and readability

• Implement automated testing *(unit, integration, functional)* to ensure fast feedback and reliability

• Operate and support cloud environments *(preferably GCP, but also AWS/Azure)* ensuring high availability and performance

• Create and maintain automated CI/CD pipelines for continuous delivery

• Monitor and improve production systems, ensuring uptime and quick incident resolution

• Practice code review, pair programming, and knowledge sharing, fostering technical excellence within the team

• Maintain adaptability and a mindset of continuous improvement, leveraging automation to eliminate repetitive tasks