Site Reliability Engineer

Core Competency,

Datadog, Splunk, Dynatrace, Grafana, Prometheus, Thousand Eyes, Gremlin etc.

Efficiency in creating Dashboard for Infra / APM / E2E workflows.

Monitoring, logging, Alerting and Error budget ( 99.9 , 99.99, 99.999 % ) for software, Operations & Business.

Define SLO, SLI, SLA with business/ operations / Engineering team

Automation / Auto healing Python, Shell Scripting, Java scripts etc…Developing custom services Monitoring

Experience with logging, monitoring, and event detection on Cloud or Distributed platforms.

ITIL Incident/ Change, Proficient in Problem management – Blameless postmortem, findings, applying permanent fixes, Documentation for lesson learn.

Technical operations application support and stability, realiability and resiliency experience.

AND

DevOps, Ansible, Terraform, Dockers, AWS (Atlas), Jenkins CICD pipelines.

Unix/Linux, Windows Server, Oracle, MSSQL, MongoDB.

Role: Automation Engineer

Automation Engineers Responsible to perform end to end Self-Healing automation solution to reduce manual effort/TOIL.

Primary Skill –Ansible, Terraform, Python, DevOps, SRE, Dockers, AWS (Atlas), ECS Based internal tooling

Secondary Skill –Shell Script, Linux, Monitoring tools – Datadog, Splunk, Dynatrace, Grafana, Thousand Eyes, Gremlin etc.

Automation Engineer:

1. 5 to 7 years of experience with Automation principals and tools (Ansible etc.).should have worked with Toil identification and quality of life automation.
2. Advanced working experience with two or more of the following: Unix/Linux, Windows Server, Oracle, MSSQL, MongoDB.
3. Experience with Python, Java, Curl scripting or any other types of scripting.
4. Experience with JIRA, Confluence, BitBucket, GitHUB, Jenkins, Jules, Terraform.
5. Experience with two or more of the following observability tools: AppDynamics, Geneos, Dynatrace, ECS Based internal tooling, Datadog, Cloud watch, Big Panda, Elastic Search (ELK), Google Cloud Logging, Grafana, Prometheus, Splunk, Thousand Eyes etc..
6. Experience with logging, monitoring, and event detection on Cloud or Distributed platforms.
7. Experience creating and modifying technical documentation such as environment flow, functional requirements, nonfunctional requirements.
8. Effective production management – Incident & change Management, Production control, ITSM, Service Now, problem solving and analytical skills with ability to turn findings into strategic imperatives.
9. Technical operations application support and stability, reliability and resiliency experience.
10. Minimum 4-6 years of hands-on experience into SRE implementation of monitoring system- Dashboards development for application reliability using Splunk, Dynatrace, Grafana, App Dynamics, Datadog, Big panda.
11. Experience working on Configuration as Code, Infrastructure as code, AWS(Altas)
12. 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.
13. 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 alerts 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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