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

Incident Management, Test Cases, Distributed Systems, Python, Access Management, Capacity Planning

Gcp, Docker, Cloud Infrastructure, Apache Kafka, Kubernetes, AWS, error budgets, SLIs, AI models, distributed tracing, infrastructure-as-code, AI-assisted engineering tools, SLOs, structured logging, application instrumentation

Bash, Dns, SSL, Gcp, Docker, Ansible, Networking Protocols, Lua, Load Balancers, Linux Internals, MongoDB, Puppet, Oracle, Tls, Kubernetes, Python, Golang, AWS, AliCloud, DevOps practices, distributed system components, Spinnaker, Git-based source control

snowflake , Denodo, Aws Services, Power Bi, Tableau, Informatica, MS SQL, RDBMS, Ansible, Oracle, Python, Linux or Unix-like OS

S3, Spring Boot, Cdh, Kafka, Tableau, Ddl, Shell Scripts, MySQL, Python, AWS, Java, Hadoop, Dml, J2EE, Hive, Gcp, Presto, Ansible, Spark, Psql, Azure, Kubernetes, Flink, Druid, Jenkins Pipeline, Spark-Streaming

Logging, Git, Docker, Dashboarding, Linux Shell Scripting, Siem, metrics, Kubernetes, tracing, operational procedures, runbooks, CI CD, alerting, production support models, observability platforms, escalation paths, Incident Response workflows, enterprise monitoring

.NET, Java, Wireshark, Prometheus, Spring Boot, Grafana, Datadog, Jenkins, Terraform, Docker, Ansible, ECS, Dynatrace, Gitlab, Splunk, Kubernetes, Python, Corvil

Logging, Identity And Access Management, Git, Docker, Incident Management, Siem, Linux Shell Scripting, Kubernetes, automation using Python or Go, post-incident reviews, SLIs, tracing, secrets management, Monitoring, alerting, production reliability practices, Capacity Planning, observability platforms, SLOs, Incident Response workflows, enterprise monitoring