Software Development Lifecycle, Gcp, Agile Methodologies, AWS, AI tools, performance engineering principles, platform scalability programs, distributed tracing, cloud infrastructure performance engineering, Hyperforce, CI CD pipelines, data fluency, observability

Frameworks, Programming Languages, AI capabilities, large scale distributed systems

.NET, .Net Core, Linq, Web Api, Mq, CSS, Ibm Mq, Kafka, Rest Api, JQuery, Sql, React, Html5, Entity Framework, Mvc, GHCP, Agentic AI framework

.NET, .Net Core, Linq, Web Api, Mq, CSS, Ibm Mq, Kafka, Rest Api, JQuery, Sql, React, Html5, Entity Framework, Mvc, GHCP, Agentic AI framework

Generative AI, cloud-native infrastructure, distributed software systems, API Gateways

Java, Rabbitmq, Docker, Kafka, Azure, Kubernetes, Redis, Google Cloud, Go, Azure Managed Redis, Observability

Power Bi, Advanced Excel, Workday, Adaptive, AI Tools, Compensation, Total Rewards, Workforce Planning, Hr Operations, Hr Analytics

scalable architecture , PostgreSQL, Distributed Systems, Python, AWS, Java, Software Development, Scala, Node.js, Redshift, Sql, Gcp, MongoDB, Azure, Go, Relational Databases, object-oriented design, Trino, Scheduling, non-relational databases, event-driven architecture, large-scale system design, SaaS applications, locking, software development best practices, distributed systems concepts, queues, workload distribution

Java, Gcp, Distributed Systems, System Design, Node.js, API design, Azure, Python, AWS, Go

Java, Spring Batch, Ec2, Spring Boot, Kubernetes, Spring Framework, AWS, AI-enabled engineering practices, EKS