Engineer, AS

Overview

Site Reliability Engineer (SRE) role to improve the reliability, availability, performance, and operational readiness of production services, combining observability, incident management, cloud, DevOps, and automation skills.

What you'll do

• Design, implement, and maintain monitoring, dashboards, alerts, and operational views using Splunk and New Relic.
• Correlate metrics, logs, and distributed traces to diagnose service degradation, detect emerging risks, and accelerate root-cause analysis.
• Define and track service-level indicators (SLIs), service-level objectives (SLOs), and error budgets; use them to guide alerting and reliability priorities.
• Develop actionable alerts in New Relic and Splunk, continually tuning thresholds and reducing alert noise.
• Lead or support production incident investigation, troubleshooting, mitigation, recovery, and post-incident reviews.
• Perform structured root-cause analysis and convert findings into preventive and corrective actions.
• Work within change-management, production-support, and operational-governance processes.
• Manage incidents, changes, problems, and operational work through tools such as ServiceNow.
• Create and maintain runbooks, standard operating procedures, troubleshooting guides, architecture notes, and knowledge articles.

What you'll need

• Strong understanding of observability principles and the correlation of metrics, logs, and traces.
• Hands-on experience with Splunk and New Relic, including dashboard creation, alert configuration, and monitoring strategy.
• Good understanding of SRE concepts, including SLIs, SLOs, error budgets, incident response, and reliability engineering practices.
• Strong analytical and troubleshooting skills, with demonstrated ability to identify root causes in complex production environments.
• Experience in production operations, change management, incident management, and operational support.
• Working knowledge of incident and change tracking tools such as ServiceNow.
• Good understanding of GCP services, particularly BigQuery and Cloud Run.
• DevOps and CI/CD experience, including hands-on work with GitHub and GitHub Actions.
• Good understanding of deploying and supporting applications on OpenShift.
• Proficiency in Unix shell scripting and Python.
• Strong written communication and process-documentation skills.
• Familiar with Agile Team management tools (JIRA, Confluence).
• Bachelor's degree from a college or university with a focus on IT or data evaluation and / or comparable professional experience.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Details

• Location: Pune, India.
• Corporate title: Associate.