Databases, Graphql, API design, Distributed Systems, Kubernetes, systems-design, large-scale systems, Backend APIs, GRPC

Cloud Computing, Agile Methodologies, Networking Protocols, Kubernetes, Python Programming

.NET, .Net Core, Kafka, Kotlin, Sql, Microservices, Git, Docker, Distributed Systems, Databricks, Rest Apis, Python, Kubernetes, AWS, AI-assisted development tools, cloud-native development

containerization , Apis, Microservices, System Design, Scalability, Azure, AWS, Quality gates, Cloud-native platform engineering, Distributed systems architecture, Consistency tradeoffs, Human-in-the-loop validation, Data sensitivity considerations, Data stores, Responsible AI use, Governance, Latency, Resiliency patterns, Automation capabilities, AI-assisted development, Fault-tolerance, Event-driven architectures

Apis, Security practices, React, Application Architecture, Typescript, Code Review, Databricks, Azure, Testing, Full-stack software design and implementation, AI-assisted coding workflows, Coding agents such as Codex, product integration, Reusable package development, Open-source contribution, Production Engineering, Technical mentorship, Building shared developer tools or internal products

.NET, .Net Core, Kafka, Kotlin, Microservices, Sql, Git, Docker, Distributed Systems, Databricks, Rest Apis, Kubernetes, Python, AWS, AI-assisted development tools, cloud-native development

Kubernetes, Java, PostgreSQL, Kafka, Spring Boot, Redis, React, Docker, Elasticsearch, Databricks, Distributed Systems, Rest Apis, Oracle, Event-driven architecture, Microservices architecture, SQL databases