Java, Cloudformation, Kafka, Node.js, Sql, Nosql, Cloud Architecture, Gcp, Docker, Terraform, Distributed Systems, Azure, Kubernetes, Python, AWS, Asynchronous processing, Event-driven design patterns, Go, Caching layers, GraphQL APIs, messaging systems, Stream processing technologies

Ruby On Rails, PostgreSQL, Agile Scrum, Test Driven Development, Service-Oriented Architecture, Object-Oriented Programming, Design Principles

containerization , API design, Backend Engineering, Data Modeling, Terraform, Distributed Systems, Kubernetes, cloud-native fundamentals, GitOps, resiliency patterns, async event-driven architectures, AI systems, Caching, rate limiting, RAG, agentic architectures, observability

Distributed Systems, Kafka, Microservices, ClickHouse, DevOps practices, Go

Distributed Systems, Typescript, Python, scalable system design, backend systems engineering, Go, cloud-native architectures, ML GenAI applications

Query Optimization, Java, MySQL, PostgreSQL, Software Design, Kotlin, Python, Database Internals, RDBMS internals, RDBMS core functions, Go

containerization , Backend Engineering, API design, Data Modeling, Terraform, Distributed Systems, Kubernetes, GitOps, cloud-native fundamentals, resiliency patterns, async event-driven architectures, AI systems, Caching, rate limiting, RAG, agentic architectures, observability

Java, API design, Kotlin, Distributed Systems, ML infrastructure, Observability pipelines, AI coding assistants, Developer Platform MCP integrations, custom plugins, prompt engineering, MCP Model Context Protocol, model evaluation, A2A Agent-to-Agent protocols, developer experience platforms, AI Key Management, API gateways, cloud-native infrastructure, internal tooling, observability tooling for AI LLM systems, LLM Proxy, multi-agent orchestration patterns, machine learning concepts, AI Review GitHub App

Java, Cassandra, Spring Boot, Kafka, Redis, Sql, Microservices, Nosql, MySQL, Postgres, Distributed Systems, AWS