Observability Engineer Lead

equifax

Trivandrum / Pune 5 Years Exp Posted 582d ago

Key Accountabilities

Develop and maintain observability using AWS/GCP tools and Datadog.
Keep monitoring tool software currency up to date across Cloud/Legacy landscape
Keep Engineering updated with logging/tracing standards
Good knowledge of Splunk or other logging tools like ELK stack
Have good understanding of Application Performance Management
Implement best practices for observability, including metrics, logging, and tracing.
Collaborate with engineering and operations teams to troubleshoot and resolve performance issues.
Automate observability processes and integrate them into CI/CD pipelines.
Analyze and interpret monitoring data to provide actionable insights and recommendations.
Stay updated with the latest advancements in GCP and Datadog to continuously improve our observability capabilities
Good knowledge of linux/windows environment
Work in Scaled Agile Framework

Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR
Lead availability blameless postmortem and own the call to action to remediate recurrences

What experience you need

BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job
experience required
5+ years experience with monitoring tools Google/AWS Cloud Monitoring, Appdynamics, DataDog, Splunk , Elastic Search or similar
5+ years’ experience in system support, coding or operations.
Hands-on experience with Windows/Linux environments
Excellent problem-solving and communication skills
Provide step-by-step technical help, both written and verbal
Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js
Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansibleand/or containers (Docker, Kubernetes, etc.)
Proficiency with continuous integration and continuous delivery tooling and practices
Cloud Certification Strongly Preferred