Android, multi-threading, Linux, Soc Architecture, Python, Systemc, TLM 2.0, Hybrid Platforms, SoC Virtual Platforms

Software Development Life Cycle, Continuous Delivery, Agile Methodologies, Automation, Python, AI-assisted Software Development Tools, Application Resiliency, Cloud Native Experience, SRE Concepts, Distributed Tracing, Security

Java, Scala, Kubernetes, Python, AWS, SRE best practices, Big Data ETL pipelines

Java, Jira, Git, Confluence, shell scripting, Terraform, Linux, Ansible, CI CD pipeline, AI-assisted software development tools, Wiki, public cloud offering

Elk, Prometheus, Grafana, Datadog, Microservices, Devops, Shell, Gcp, Docker, Terraform, Splunk, Helm, Azure, Kubernetes, Python, AWS, GitOps, Kustomize, Infrastructure Automation, Cloud Platforms, kubectl, ArgoCD

Golang, PostgreSQL, Prometheus, Kafka, Spring Boot, Grafana, Microservices, Nosql, Ec2, Docker, Python, Api Gateway, Java, Hazelcast, Redis, Rabbitmq, Django, AWS ECS, FastAPI, Kubernetes, AWS SQS, Ddd, CI CD, Cognito, event-driven architecture, distributed tracing, CQRS, opensearch

.Net Core, React, Windows, Sql, Microservices, Nosql, Linux, Docker, Distributed Systems, Kubernetes, Angular Js, AI system operations monitoring, Enterprise compliance considerations, Messaging and event-driven architecture, REST Web APIs, Cost-performance trade-offs, Responsible AI practices, API SDK-based services, AI ML basics, LLM usage patterns, Java Spring Boot