Senior Site Reliability Engineer

1. Incident Response & On-Call Ownership

· Participate in 24/7 on-call rotation for production systems.

· Rapidly diagnose, mitigate, and resolve high-severity production incidents.

· Lead Root Cause Analysis (RCA) and post-mortem documentation.

· Implement corrective and preventive actions to avoid recurrence.

· Drive improvements in Mean Time to Recovery (MTTR).

· Maintain and improve SLAs, SLOs, and reliability objectives.

2. Reliability Engineering & SRE Practices

· Implement and champion Site Reliability Engineering (SRE) best practices.

· Define, measure, and improve SLIs, SLOs, SLAs, and Error Budgets.

· Engineer solutions to eliminate repetitive operational work (toil reduction).

· Conduct reliability reviews and capacity planning exercises.

· Improve system redundancy, failover strategies, and disaster recovery readiness.

· Continuously improve service availability, latency, and operational excellence.

3. Cloud & Infrastructure Engineering

· Design, manage, and optimize infrastructure on Microsoft Azure (Mandatory).

· Manage Azure Virtual Machines, Networking, Storage, IAM, Azure Monitor, and cloud-native services.

· Experience with AWS services such as EC2, S3, RDS, IAM, VPC, and CloudWatch is preferred.

· Exposure to Google Cloud Platform (GCP) is a plus.

· Administer and optimize Kubernetes clusters and containerized workloads.

· Manage Helm deployments and Kubernetes-based applications.

· Implement Infrastructure as Code (Terraform preferred).

· Support Git-based workflows using GitHub, GitLab, or Azure Repos.

4. Monitoring, Observability & Performance Engineering

· Design and implement observability solutions using OpenTelemetry, Prometheus, Grafana, Datadog, CloudWatch, and Azure Monitor.

· Build and maintain distributed tracing frameworks using OpenTelemetry.

· Establish monitoring based on Golden Signals:

· Latency

· Traffic

· Errors

· Saturation

· Design symptom-based alerting focused on user impact.

· Analyze performance bottlenecks and optimize application and infrastructure performance.

· Improve logging, tracing, and monitoring strategies across distributed systems.

5. AI & Cloud-Native Workloads (Good to Have)

· Support deployment and operations of Azure AI Services and AI Foundry solutions.

· Assist in infrastructure design for RAG (Retrieval-Augmented Generation) workloads.

· Ensure scalability, reliability, and observability of AI/ML systems in production.

6. Security & Compliance

· Apply cloud security best practices including IAM, network segmentation, and secrets management.

· Support vulnerability remediation and security initiatives.

· Collaborate with development and security teams to meet compliance requirements.