Incident Management, Microservices, Large-scale distributed systems, Disaster Recovery, Event-driven systems, Infrastructure as Code, Cloud-native architectures, Observability and monitoring, APIs and service-oriented architectures, High availability and fault tolerance, distributed databases, Root Cause Analysis, Capacity Planning, Kubernetes and container orchestration

Machine Learning, Aws Services, Big Data Technologies, Software Development Lifecycle, Design Patterns, Coding Standards, build processes, code reviews, source control management, engineering practices and patterns, testing certification, livesite operations

Distributed Systems, Cloud Architecture, marketplace fulfillment, scalable platforms, engineering practices and patterns, Generative AI, on-demand service platforms

Java, Node.js, Microservices, RDBMS, Docker, Distributed Systems, Rest Apis, Kubernetes, Python, NoSQL databases, event-driven architectures, cloud platforms, CI CD, observability solutions

Distributed Systems, Python, Microservices, AWS, DevOps practices, CI CD pipelines, Full Stack engineering, cloud platforms, observability tools

New Relic, Splunk, Java, Grafana, Distributed Systems, Kubernetes, Python, Cloud Infrastructure, Docker, evaluation frameworks, agent orchestration frameworks, backend services, reasoning models, GenAI applications, AI agents, MCP, AutoGen, RAG, context management, cloud-native architectures, LangGraph, CI CD platforms, monitoring platforms