SID Global Solutions

SRE

SID Global Solutions · Hyderabad, Telangana, India

IT Services and IT Consulting · 501-1,000 employees

2 d ago
Mid (2-5 yrs) Full-time India
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About the role

The role focuses on real-time surveillance of production environments and triage of infrastructure alerts to ensure high availability of banking services. Responsibilities include managing API traffic via Apigee, monitoring Kubernetes clusters, and executing runbooks for service recovery.

What they look for

Datadog Dynatrace Prometheus Grafana Nginx Kubernetes Google Cloud Platform Apigee Linux/Unix Infrastructure Monitoring Incident Escalation API Traffic Management

Requirements

Candidates need 1 to 3 years of experience in L1 support or junior SRE roles with proficiency in observability tools and GCP. Strong command-line Linux skills and the ability to work in a 24/7 rotating shift model are required.

Full description

Job Title: Site Reliability Engineer (SRE) / L1 Monitoring Engineer

Job Summary

We are seeking a proactive and technically driven SRE / L1 Monitoring Engineer with 1 to 3 years of experience to join our core digital infrastructure operations team. In this role, you will serve as the first line of defense ensuring the high availability, security, and performance of critical financial services and digital banking applications. You will be responsible for real-time system monitoring, tracking alerts across modern observability stacks, performing initial triage on infrastructure bottlenecks, and managing API traffic performance. This is an excellent opportunity for an early-career engineer looking to scale their skills in a high-volume, secure cloud infrastructure environment. [1]

Key Responsibilities

L1 Infrastructure Monitoring & Alerts

  • Real-time

Surveillance: Actively monitor production environments, enterprise dashboards, and telemetry feeds using toolsets like Datadog, Dynatrace, and Grafana to spot anomalies before they impact end-users. [1, 2, 3]

  • Alert

Triage: Acknowledge, validate, and categorize incoming infrastructure, database, and application alerts generated by Prometheus and application performance monitoring (APM) agents using predefined Standard Operating Procedures (SOPs). [1, 2, 3, 4, 5]

  • Incident

Escalation: Document incident details clearly in the ticketing system and swiftly escalate unresolved P1/P2 issues to L2 engineers or specialized DevOps teams with complete log snippets and context.

Application Delivery & API Traffic Management

  • Nginx

Operations: Monitor web server logs, verify reverse proxy configurations, and troubleshoot basic traffic routing or SSL/TLS certificate errors. [1, 2, 3]

  • API

Gateways: Use Apigee to monitor API proxy performance, track error rates (5xx/4xx codes), track latency spikes, and check developer portal connectivity. [1, 2, 3, 4]

  • Kubernetes

Support: Monitor cluster health, inspect pod statuses, view application logs using kubectl, and track resource usage (CPU/Memory limits). [1, 2]

Cloud Operations & Reliability

  • GCP

Monitoring: Utilize Google Cloud logging, native monitoring tools, and integrated observability dashboards to check the health of virtual machines, storage, and networking layers. [1, 2, 3, 4]

  • Health

Checks: Perform routine daily morning sanity checks and post-deployment validation steps for critical banking services.

  • Runbook

Execution: Execute automated or manual scripts to restart failed services, clear disk space, or cycle pods safely in staging and production environments.

Required Qualifications & Technical Skills

  • Experience: 1 to 3 years of hands-on experience in an L1 Support, Infrastructure

Monitoring, or Junior SRE role.

  • Observability

Tools: Hands-on experience navigating and tracking alerts within Datadog, Dynatrace, Prometheus, and Grafana.

  • Web

Servers: Practical understanding of Nginx (reverse proxy, load balancing, log analysis).

  • Containerization: Foundational knowledge of Kubernetes (K8s) (understanding pods,

deployments, services, and basic troubleshooting commands like kubectl logs and kubectl get pods).

  • Cloud

Platform: Familiarity with Google Cloud Platform (GCP) core services and cloud monitoring concepts.

  • API

Management: Exposure to Apigee or equivalent API gateways for monitoring traffic flow and checking endpoint health.

  • Operating

Systems: Strong command-line comfort in Linux/Unix environments for navigating directories and tailing logs.

  • Shift

Flexibility: Readiness to work in a 24/7 rotating shift model (including night shifts and weekends) to maintain uninterrupted banking infrastructure support