AI Developer - ASE

Aspire Software

This role requires true end-to-end ownership from concept and technical design to implementation, automated testing, deployment, and productive customer usage. You are responsible for turning ideas and requirements into scalable, maintainable, and fully operational features. That includes designing clean architectures, implementing across frontend and backend, writing automated tests, integrating into CI/CD pipelines, and ensuring reliable behavior in our cloud environment.

You will work across the full stack:

• Building modern, scalable frontend applications with React and TypeScript
• Designing and implementing robust backend services using Jakarta EE
• Developing and maintaining clean, well-structured RESTful APIs
• Designing sound data models and working with relational databases
• Deploying and operating services in AWS-based environments
• Supporting containerized deployments (Docker) and CI/CD pipelines
• Ensuring comprehensive automated test coverage (unit, integration, E2E)

Your focus will include:

• Developing new product features
• Integrating customer-driven project work into the core platform
• Removing legacy layers and consolidating functionality into a scalable SaaS architecture
• Continuously improving performance, reliability, and maintainability

Responsibilities

• End-to-End Full Stack Development
• Translate concepts and requirements into scalable technical designs.
• Design, develop, and maintain frontend and backend systems using React, TypeScript, and Jakarta EE.
• Build new product features from concept to production deployment.
• Refactor and migrate legacy project layers into the core SaaS platform.
• Integrate customer-specific requirements into maintainable, product-grade functionality.
• Ensure performance, scalability, security, and maintainability across the stack.

Testing & Quality Ownership

• Design and implement automated test cases (unit, integration, and end-to-end where appropriate).
• Ensure features are fully test-covered before release.
• Review, test, and validate other developers work.
• Contribute to improving overall test strategy and coverage.
• Take shared responsibility for production stability quality is owned by engineering.

Architecture & Engineering Standards

• Contribute to architectural decisions and technical roadmaps.
• Drive best practices in system design, code quality, and testing.
• Actively participate in code reviews and technical discussions.
• Mentor other engineers and raise overall engineering standards.

SaaS Operations & DevOps

• Support CI/CD pipelines and deployment workflows.
• Work with Docker-based containerization.
• Troubleshoot production issues in AWS environments.
• Improve observability, performance, and reliability.
• Contribute to infrastructure and operational improvements when required.

AI-Supported Engineering

• Use AI-powered development tools to improve productivity and quality.
• Integrate AI capabilities where they provide real customer or workflow value.
• Critically assess AI-generated outputs before integrating into production.