Maven, Nosql, JUnit, Docker, JDBC, Java, Postgres Sql, Hibernate, J2EE, Devops, Git, REST, Jpa, Kubernetes, Object-oriented design, Edge-to-cloud communication, Software architecture design patterns, Telemetry pipelines, Spring frameworks, messaging systems, JSON APIs, Low-level design principles, Distributed System Design, CI-CD pipelines, Microservices-based architectures

.NET, PostgreSQL, SQL Server, Redis, Git, Docker, Azure, Kubernetes, AWS, LLMs, workflow orchestration, microservices architectures, AI processing systems, agentic AI architectures, NoSQL data stores, ASP.NET Core, RESTful API design

Data Protection, Dlp, cloud-native distributed systems, policy enforcement, malware protection, SaaS security, traffic-classification, application-intelligence, CASB, AI-assisted intelligence, AI or machine-learning capabilities, application-discovery

Algorithms, data structures, engineering best practices, performance scalability, large-scale web service solutions, object-oriented design, IoT cloud solutions, enterprise system architecture

Java, Distributed Systems, Data structures, Multithreading, Devops, Algorithms, Docker, Apache Kafka, Spark, Kubernetes, Object-oriented programming, Flink, Iceberg, Architectural design patterns

Ml, Cloud Infrastructure, distributed databases, large-scale distributed systems, Ai, high-throughput APIs, real-time data processing, architectural strategy

Java, Graphql, Cloudformation, React, REST, Typescript, Integration Testing, Terraform, Python, AWS, platform reliability, operational observability, central logging, event-driven architectures, iPaaS platforms, self-service governance frameworks, error recovery, Next.js, API contract design, LLM capabilities, AI-assisted coding tools, Ai Development

API design, automation, Microservices, large-scale distributed systems, AI-enabled capabilities, event-driven systems, cloud-native architectures, enterprise platforms, modern software engineering practices, observability

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, live traffic sampling, real-time performance monitoring, offline test sets, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, observability tooling, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification