Java Technical Lead Analyst

Job Qualifications

• Qualification:
• Graduate/Post Graduate degree in engineering or computer science streams
• Demonstrable analytical and quantitative skills
• 12-15 years of hands on experience in technical design and delivery of enterprise applications especially in the Cards and Payments space
• Demonstrable experience of having led and directed engineering teams
• Core Technical competencies :
• Past roles as a technical/engineering lead with demonstrable experience having led and directed software development teams
• Past roles with Design, Development experience working with cards or retail bank applications and/or packages an advantage
• Engineering talent with working knowledge and experience integrating and/or transforming enterprise Mainframe systems to modern event driven, distributed & cloud technologies, forward-compatible and open to continuous learning will be a big plus
• Extensive experience in having led technical teams, implemented innovative solutions and been responsible for delivery of enterprise solutions in any one of the following technologies:
• Core Java (1.7 or higher), J2EE, Spring framework, Spring boot, RHEL OpenShift
• IBM z/OS, COBOL, JCL, CICS, VSAM, DB2 with hands on experience in a SYSPLEX/CICSPLEX environment and experience with modernizing Mainframe applications
• Hands on experience wiring with microservices architecture, API gateway.
• Good exposure to various Database technologies (DB2/Oracle/MongoDB)
• Experience in designing applications that produce/consume SOAP/Rest web services and/or Open APIs
• Experience working with modern messaging pub/sub technologies like, Kafka, Solace etc.
• Proficiency with version control systems (e.g., Git) and modern CI/CD practices.
• Hands-on knowledge of CI/CD pipelines, deployment tooling and infrastructure-level concepts, including ELK, Docker, Kubernetes, Azure Cloud, and AWS S3.
• Agile Methodologies: Solid experience working in and practicing Agile development methodologies.
• AI and Prompt Engineering: Wide exposure to and practical experience with smart AI tools and the ability to seamlessly embed AI tools in daily workflows.