Software Engineering, automation, platform systems, secure development practices, CI CD infrastructure, AAMI standards, observability

Observability tools (Prometheus, CI/CD tools (Jenkins, RabbitMQ), Messaging systems (Kafka, Containerization (Docker, Distributed caching (Redis, OpenShift), Splunk), Azure DevOps), Hazelcast), Java, Spring Boot, Maven, Grafana, Elk, Gradle, Kubernetes, Git, Cloud platforms, Microservices architecture, Distributed systems design

Nosql, Java, Devops, Google Cloud Platform, Distributed Systems, Restful Apis, Python, Microservices, Sql, cloud-native application design

Node.js, Distributed Systems, AWS, Public-facing secure APIs, Engineering Management

.NET, .Net Core, Graphql, PowerShell, Node.js, Jasmine, Microservices, Angular, Rest Api, Typescript, Gitlab, Karma, Source Control, CI CD, OpenSearch, Code quality and security scanning tools, AI-assisted development tools, Automated testing frameworks

agentic AI-enabled engineering, incident response acceleration, legacy system modernization, modern technology solutions, automated test modernization, responsible AI risk controls, SDLC TLM automation, enterprise-authorized AI-assisted development, reuse-first strategies, Software Development Life Cycle toolchain, cloud native experience, resilience engineering, portfolio governance, post-trade technology platforms

C#, Design Patterns, Software Design, Entity Framework, Automation, jQuery, MS SQL, ASP.NET, Mvc, System Integration, Code Repository Management, Continuous Improvement, Delivery Metrics, Productivity Savings, Agile Delivery, Risk Management, Development Concepts, Database Structures, AI Initiatives, Estimation, Forecasting, Project Management, Planning, Engineering KPIs

content management systems , Scrum, AWS, Kubernetes, Azure, Gcp, microservices architectures, full-stack web development, resiliency testing, personalization platforms, Safe, SRE, monitoring and tracing, e-commerce, cloud platforms, Agile delivery, transactional experiences, Kanban, observability practices, AI tools and practices

design scalable and resilient software architectures, security principles and compliance requirements in cloud solutions, performance optimization and system monitoring in cloud environments, AI Data Solution Architecture, cloud infrastructure design and deployment best practices, AWS Architecture