Version Control Systems, Application Monitoring, Cloud Infrastructure, Trade Life Cycle, AWS, Chaos Engineering, AI Agents, Responsible AI and Generative AI Practices, Operational Risk Management, Container Orchestration, lead time improvement, Design, Capacity Planning, Regional Media, Review complaints, Security Platform

Machine Learning, Cloud Technologies, Microsoft, AWS, Quality Assurance, Ai

Prometheus, Grafana, Linux Administration, Shell, Gcp, Terraform, Ansible, Splunk, Azure, Helm, Kubernetes, Python, AWS, CI CD pipelines

Golang, Containers, Dns, Gcp, Terraform, Azure, Helm, Kubernetes, Python, Virtualization, AWS, Security

React, Unix Scripting, Aws Ec2, Python, Sql, Context-aware dialogue systems, DevOps methodologies, AI agents or chatbots, Server-side APIs, Scalable fault-tolerant microservices

Devops, Gcp, Incident Response, Kubernetes, AWS, Production systems with high availability and compliance, SRE strategy, Data streaming analytics pipelines, Observability, Financial data systems

Azure ML, MLops, Airflow, Portkey, DevSecOps principles, MLflow, anomaly detection, data governance evaluation frameworks, CI CD, correlation and remediation, Kubeflow, automated incident detection, telemetry integration, AIOps frameworks, Promptfoo, observability, monitoring baselines, LLMOps, AI ML pipeline orchestration, AIOps-driven diagnostics, RAG validation, SLOs, automated health checks, model lifecycle automation

AWS (CloudWatch, CloudTrail), Azure (Monitor, App Insights), Terraform, Ansible, Python, Datadog, Dynatrace, Splunk, Elk, CI/CD, X-Ray, Log Analytics

Java, Gcp, Distributed Systems, Azure, Kubernetes, Python, AWS, Go