Java, Backend Development, Node.js, internal platforms, Go, platform engineering, developer tooling

graph databases , resiliency , Spring Boot, Microservices, React, Typescript, Distributed Systems, Python, Java, DevSecOps, Data Governance, Containers, Rest Apis, embeddings, Privacy, Operational Risk, vector databases, Security, enterprise integration patterns, cloud-native platforms, Operational Excellence, semantic search, observability, RAG architectures, orchestration frameworks, auditability, Generative AI, Regulatory Compliance, Agentic AI, ontology-based architectures, Knowledge Graphs

Distributed Systems, PostgreSQL, Backend Engineering, ADRs, RFCs, audit-grade workflows, canonical engineering standards, multi-tenant data permission models, API architecture

Java, SQL Server, Kafka, Spring Boot, Sql, Microservices, Nosql, Rabbitmq, Git, Docker, Distributed Systems, MongoDB, Workspace, Azure, Kubernetes, AWS, agentic development tools, test automation frameworks, cloud-native patterns, Claude Code, DevOps tooling, Copilot, Azure Service Bus

Java, Design Patterns, Oop, Gcp, Docker, Reactjs, Azure, Kubernetes, Distributed data processing, ML algorithms, Low latency systems, Data pipelines, ML systems, Functional programming

object storage , Prometheus, Grafana, Gcp, FastAPI, Azure, Kubernetes, AWS, distributed systems patterns, non-relational databases, Data-lakes, Open-telemetry, cloud-native service design

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

.NET, Relational databases (SQL Server, Cloud environments (AWS and/or Azure), PostgreSQL), Git, Docker, Kubernetes, C#, Distributed Systems, LLMs, AI processing systems, ASP.NET Core, RESTful API design, Agentic AI architectures, Tool function calling, Production-quality code, Context and memory management, Microservices architectures, Testing strategies