GenAI LLM Stack experience, Cloud-native applications AWS Azure, API gateways, Event-driven architectures Kafka, Engineering practices knowledge, Distributed caching CDN, Full Stack development expertise, Systems design microservice architectures, Enterprise observability architectures

Java, C, Javascript, Python, Agile tracking and process management tools

Github, Maven, Artifactory, Vagrant, JIRA, Confluence, Terraform, Docker, Powershell Scripting, Shell Scripting, Bitbucket, Saltstack, Python Scripting, Jenkins, Git, Ansible, Puppet, Azure, Kubernetes, Office Suite, Chef, Visio, GitHub Actions, Lucid Charts, Sharepoint, Fabric

Java, Github, Spring Boot, Datadog, Microservices, Angular, Terraform, Docker, Flutter, FastAPI, Restful Apis, Python, AI tools and LLMs, EKS, Faust, Relational Databases, ArgoCD

Python, Tcl, Shell scripting, Debugging, Perl, Uvm, systemverilog, Mixed-Signal Verification

boundary scan , Vcs, Perl, System Verilog, Python, Tcl, primetime, Logic Equivalency checking, Jtag protocols, memory BIST, Gate level simulation debugging, Scan and BIST architectures, TetraMax, ATPG, EDA Tools, Tessent tool sets, TestMax

FastAPI, API design, Devops, Testing, Python, Terraform, clean architecture, RAG fundamentals, LLMOps, Bedrock AgentCore, Packaging, observability, AWS Strands SDK

object storage , Nas, San, Version Control Tools, Saltstack, Shell, Docker, Terraform, Ansible, Incident Management, Puppet, Kubernetes, Python, error budgets, SLIs, Infrastructure as Code, Go, postmortems, SRE concepts, SLOs, observability

production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability