secure coding , Machine Learning, Virtualisation, Programming Languages, Scalability, Devops, Performance, DevSecOps, Bug Tracking Tools, Database Design, Agile, Software Engineering, automation, architectural security patterns, Ai, technology stacks, availability, Optimisation, containerised workloads, architecture, wikis, cloud-native solutions, code repositories

Unix, Hibernate, Linux, Soa, Xml, Javascript, Json, Automation, microsoftSQL

Java, Github, Maven, Ant, Eclipse, Cursor, Redis, Sql, Google Cloud, Intellij, Microservices, Elasticsearch, Git, REST, JUnit, Docker, Gitlab, Azure, Kubernetes, Spring Framework, AWS, My Eclipse IDE, Amazon Q

Ml, Github, multi-tenancy, Containers, Jenkins, Gcp, Distributed Systems, Kubernetes, AWS, Event-driven architecture, DevOps practices, SRE, API-first platforms, Ai, CI CD tools, Google Cloud Build, Open Banking, Cloud-native technologies, FDX, ISO 20022, Service mesh

Distributed Systems, System Design, API design, Data Intelligence, AI-driven automation, performance optimization, event-driven systems, cloud-native architectures

MLops, Docker, Distributed Systems, Kubernetes, data engineering and processing for AI ML applications, deep learning frameworks, DevSecOps practices, modern software engineering practices, large language models, scalable architectures, automated testing frameworks, cloud-native architectures, AI ML technologies, CI CD implementation

Ml, Github, multi-tenancy, Containers, Jenkins, Gcp, Distributed Systems, Kubernetes, AWS, Event-driven architecture, DevOps practices, SRE, Ai, API-first architecture, CI CD tools, Google Cloud Build, Open Banking, Cloud-native technologies, FDX, ISO 20022, Service mesh