Minimum of 3 years of experience supporting enterprise applications as an SRE or similar role with proficiency in writing code in Java, Go or Python

Good understanding of distributed systems concepts, microservices architecture and software design patterns.

Hands-on experience with Kubernetes. You have managed applications on a major cloud provider (GCP, AWS, or Azure), and can troubleshoot common container issues.

Experience setting up dashboards in Grafana and using APM tools like Datadog, New Relic, Signoz.You have a Solid understanding of metrics, logs, and traces.

Participate in on-call rotations to detect and triage service and reliability issues across all environments. Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders.

Create and maintain meaningful dashboards and alerts. Work with development teams to instrument their code to ensure visibility.

Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability across both applications and infrastructure.

Implement and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) defined by the engineering leadership.

Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior.