Job Description
Role: Manager SRE
Automation Lead Leading Automation SRE, Responsible to perform end to end Self-Healing automation solution to reduce manual effort/TOIL.
Primary Skill Observability, Telemetry and event co-relation
Secondary Skill Shell Script, Linux, Monitoring tools - Big Panda Splunk, AppD etc.
Automation Engineer:
- 15+ years of experience in leading Automation SRE teams.
- Advanced working experience with two or more of the following: Unix/Linux, Windows Server, Oracle, MSSQL, MongoDB.
- Experience with Python, Java, Curl scripting or any other types of scripting.
- Experience with two or more of the following observability tools: AppDynamics, Big Panda, Elastic Search (ELK), Google Cloud Logging, Grafana, Prometheus, Splunk, Thousand Eyes.
- Experience with logging, monitoring, and event detection on Cloud or Distributed platforms.
- Experience working with one or more of the following: AutoSys, CRON, Windows Scheduler or other logical batch schedulers.
- Provides technical direction regarding monitoring and logging to less experienced staff or develops highly complex original solutions. Acts as an Expert technical resource for modeling, simulation and analysis efforts.
- Experience creating and modifying technical documentation such as environment flow, functional requirements, nonfunctional requirements.
- Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives.
- Technical operations application support experience.
- Minimum 4-6 years of hands-on experience into SRE implementation of monitoring system development for application reliability using Splunk, Grafana, App Dynamics, Big panda.
- Completely On-Prim environment, so we would require strong candidates on the above skills.
- Overall, we are looking for an Automation Engineer, who could reduce the toil issues and enhance the system towards reliability and scalability.
Nature of the Job :
1. Collaborate with Production support team, identify the existing manual activities, and automate.
2. Identify toil area where it can be automated to avoid manual intervention
3. Build Monitoring system and observability platform for more Stack traces and s and Dashboards.
4. Ability to define SLA, SLO and SLI and implement the same for better monitoring
5. Scalability, reliability, and observability are the primary goals for reduction of MTTD and MTTR
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