Description

• Lead software architecture and component design.
• Align solutions with business goals across the full delivery lifecycle.
• Drive AI-assisted engineering by selecting, standardizing, and governing AI tools to improve productivity, quality, and compliance.
• Provide technical troubleshooting and performance optimization.
• Resolve system issues and coordinate incident management across teams.
• Collaborate with Agile teams to guide:
  • Solution Design
  • Estimation
  • Requirement Refinement
• Identify and manage risks, proactively highlighting issues that may impact delivery or project success.
• Promote innovation and R&D by:
  • Evaluating new technologies
  • Building business cases
  • Enhancing solution capabilities
• Ensure engineering excellence through:
  • Code Reviews
  • Quality Assurance (including AI-generated code)
  • Team Capability Development
  • Ethical AI Practices
  • Cyber Risk Management

Qualifications:
Essential Skills

• Software Architecture & Component Design
• AI-Assisted Engineering
• DevSecOps
• Java / J2EE
• Spring Boot
• Angular
• Microservices Development
• MVC Architecture
• Dependency Injection
• API Integration
• OAuth2
• JWT Authentication
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• DevOps
• CI/CD Pipelines
• Testing Frameworks
• Containers
• Kubernetes
• OpenShift
• Code Review
• Quality Assurance
• AI Risk & Governance
• Cyber Security
• Performance Optimization
• Technical Leadership

Desirable Skills

• Not Specified

Keywords

• Digital
• DevOps
• Continuous Integration & Continuous Delivery (CI/CD)
• Advanced Java Concepts
• Angular 13+

Experience Required

• 8–10 Years

Key Skills

Education

Bachelor's degree