Site Reliability Engineer

Proficiency in Python, Java or Nodejs preferred.
A good understanding of the Software development lifecycle and Pipeline management.
Basic understanding of observability principles and SLO/SLIs
Experience in using monitoring tools like Grafana, Kibana, Prometheus, and AppDynamics.
Basic working knowledge of data visualization tools like Tableau.
Understanding of Agile concepts and related process.
Working or theoretical knowledge on openshift, Tekton and Harness pipelines
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

Work with highly motivated SRE and Support team members to design, implement and maintain monitoring solutions using tools like Grafana, Kibana and App dynamics.
Contribute to the projects and sprints related to firming up of SLOs/SLIs for Developer pipeline applications ensuring high availability and performance.
Look to proactively identify bottlenecks in application performance and help implement solution.
Harness the knowledge of Python/Javascript/Go to come up with scripts to automate and streamline operational tasks.
Curious and be open to work on projects related to Generative AI and task automation which will be a major focus of 2025.
Take ownership over complex problems and work with the team in driving resolution.
Look for proactive solutions but don’t be afraid to get stuck in when incidents demand.
Analyze system logs and metrics to identify root cause of issues
Effectively communicate technical details to both technical and non-technical audiences.
Work collaboratively with development, operations, and other teams to ensure alignment and smooth execution.
Contribute to a culture of continuous improvement and knowledge sharing.