.NET, Java, Golang, Docker, MySQL, PostgreSQL, Integration Testing, Node.js, Kubernetes, AWS

Cloudformation, PowerShell, Prometheus, Elk Stack, Bash, Pulumi, Grafana, Git, Gcp, Terraform, Docker, Splunk, Kubernetes, Python, AWS, Harness

Java, Jenkins, Docker, Terraform, Kubernetes, Python, GitHub Actions, Bazel, Go, CircleCI

Ui Automation, test automation, Windows, Api Testing, Android, Automation Frameworks, Debugging, perception models, RAG LLM systems, scenario-based testing, agentic behaviors, quality engineering, AI ML validation, performance validation, telemetry logs

Microservices, Spring, Json, AWS, Node.js, Xml, Kubernetes, Docker, Nlp, Java 8 or higher, AI-powered developer tools, HTTP REST, Vert.x, Cloud-native DevOps, Infrastructure-as-code, Generative AI

Tensorflow, Numpy, Pandas, Pytorch, Kubernetes, Python, DeepSpeed, reinforcement learning, Hugging Face Transformers, Model fine-tuning, Ray, Model training, Large language models, Inference optimization, Continuous learning workflows, Model evaluation

Oracle, Spring Boot, Artificial Intelligence, Automation, Java, Kubernetes, Continuous Delivery, Cloud, Software Development Life Cycle, React, Security, Application Resiliency

Gcp, Azure, Kubernetes, AWS, Go, Serverless

Google Cloud Platform, SLA, Networking, Terraform, Linux, Cloud Architecture, Distributed Systems, Incident Management, Microsoft Azure, Kubernetes, AWS, Infrastructure as Code, GitOps, On-Call operations, Rca, Troubleshooting, observability, SLO governance

Cloud Services, Logging, Incident Response, Gcp, automation, metrics, Azure, Kubernetes, AWS, service mesh, tracing, event-driven systems, CI CD, postmortem practices, Reliability Engineering principles, developer productivity and reliability tooling, chaos resilience frameworks, incident management tooling, observability platforms, self-healing resilient architectures, deployment and pipeline automation, chaos engineering, observability