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

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

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

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

Incident Response, Gcp, Kubernetes, AWS, observability

monte carlo , snowflake , Sqlalchemy, Kafka, Apache Airflow, Kinesis, Neo4j, Python, BigQuery, Redshift, Sql, Pandas, Spark, Databricks, pgvector, Polars, Acceldata, Great Expectations, Pinecone, Prefect, Chroma, Marquez, SoDA, LangChain, DataHub, dbt, OpenLineage, Weaviate, LlamaIndex

Apis, Logging, Microservices, Git, Docker, Dashboarding, Linux Shell Scripting, Siem, metrics, Kubernetes, Gateways, service accounts, tracing, secrets management, operational procedures, runbooks, alerting, production support models, enterprise integration patterns, observability platforms, escalation paths, Incident Response workflows, enterprise monitoring

Newrelic, Cloudformation, Dynamodb, Redis, Datadog, Terraform, MySQL, Dynatrace, Splunk, Python, AWS, AI-driven automation, Observability