- Monitor production infrastructure, platform health, and application uptime across 24x7 environments, ensuring SLA adherence and rapid incident response.

- Detect, triage, and escalate incidents in real time, coordinating with engineering and DevOps teams to drive resolution within defined RTO and RCA timelines.

- Manage and respond to alerts from monitoring tools (Grafana, PagerDuty, Datadog, or equivalent), distinguishing signal from noise and reducing MTTR.

- Execute routine operational tasks including deployments, configuration changes, log analysis, and scheduled maintenance activities.

- Maintain and improve runbooks, escalation playbooks, and incident documentation to build institutional knowledge and reduce repeat issues.

- Collaborate with the engineering team on observability improvements, including alert tuning, dashboard creation, and proactive capacity monitoring.

- Participate in post-incident reviews and contribute to root cause analysis and preventive action planning.

Ideal Candidate :

- Strong NOC / Infrastructure Operations Engineer Profile with 24x7 monitoring and incident-response experience

- Must have 2+ years of experience in a NOC (Networks Operation Center) Engineer/Infrastructure operations/DevOps support/Product support role

- Must have a hands-on understanding of networking, Linux systems and cloud infrastructure

- Must have proficiency with monitoring and observability tools such as Grafana, Prometheus, Datadog, Graylog or similar

- Must have hands-on experience in real-time incident detection, triage and escalation, coordinating resolution within defined RTO/RCA timelines and reducing MTTR

- Must have working knowledge of containerization and orchestration technologies (Docker and Kubernetes preferred)

- Must be comfortable scripting in Bash, Python or similar for automation and operational tasks

- Must have strong communication skills, able to write clear incident updates and escalation notes under pressure

- Must be comfortable with shift-based scheduling, including nights and weekends

- Preferred (Education): Bachelors degree in Computer science

- Preferred (DevOps): Familiarity with CI/CD pipelines and DevOps workflows.

- Preferred (Process): Exposure to runbooks, escalation playbooks, post-incident reviews and root-cause analysis.