data engineering , Java, Capacity Management, Networking, Apache Spark, Sql, Google Cloud, Iam, Python, Inference cost optimisation, GenAI, Subnet design, Consumption modelling, Containerisation, Agent orchestration frameworks, Caching strategies, Observability stacks, LLM-based platforms, DNS routing, GCP security, Private connectivity

cloud, DevSecOps, Apis, Microservices, platform engineering, enterprise delivery, observability

Apis, Microservices, DevSecOps, Cloud

Generative AI, Data analytics tools and techniques, QA monitoring and control testing frameworks, Sampling methodologies, Regulatory reporting governance

platform ownership, cloud-based platforms, APIs integrations, data and AI

test automation, Distributed Systems, Selenium, Finacle, Databases, Test Scenarios, Java, Apis, Test Plans, Jira, Sql, Postman, Agile delivery, messaging queues, enterprise application integrations, batch processes, mainframe-based systems, Karate, automated scripts, Playwright, SDLC testing methodologies, SunCBS, microservices architecture, service mesh architecture, Core Banking systems, AI-assisted software testing

Amazon Web Services, Data Security, Information Security, Cyber Risk Management, Microsoft Azure, technology risk management, network and system infrastructure security, tokenisation, Privacy, SOC 2, digital asset custody, MAS Technology Risk Management Guidelines, MAS Guidelines on Outsourcing, third-party risk management, NIST SP 800-53, third-party AI services, smart contracts, model risk, AI governance, distributed ledger technology, ISO IEC 27001, OSPAR, Singapore regulatory frameworks