SID Global Solutions

Site Reliability Engineering (SRE) Lead

SID Global Solutions · Hyderabad, Telangana, India

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

2 d ago
Senior (5-10 yrs) Full-time India
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About the role

Lead platform reliability and production stability for mission-critical enterprise applications by implementing SLIs, SLOs, and automation. Manage major incidents, conduct root cause analysis, and oversee Kubernetes and API Gateway administration.

What they look for

Google Cloud Platform Google Apigee Kubernetes SRE Incident Management Python Bash Terraform CI/CD Linux Administration Monitoring & Observability SLIs/SLOs Root Cause Analysis API Management Infrastructure as Code Distributed Systems

Requirements

Requires 7-10 years of experience in SRE or DevOps with strong expertise in GCP, Kubernetes, and Google Apigee. Candidates should be proficient in scripting languages like Python or Bash and experienced in production operations management.

Full description

Job Title: Site Reliability Engineering (SRE) Lead

Location: Hyderabad / Mumbai

Employment Type: Full-Time

About SID Global Solutions

SID Global Solutions (SIDGS) is a leading Digital Engineering and Technology Services company specializing in Cloud, API Management, DevOps, Platform Engineering, Kubernetes, Microservices, and Digital Transformation. We are looking for an experienced Site Reliability Engineering (SRE) Lead to drive platform reliability, operational excellence, and production stability for mission-critical enterprise applications.

Job Summary

We are seeking a highly skilled SRE Lead with strong expertise in cloud infrastructure, Kubernetes, API Management, and production operations. The ideal candidate will be responsible for ensuring the availability, scalability, performance, and reliability of enterprise applications while leading incident management, observability, and automation initiatives.

In this role, you will work closely with Development, DevOps, Infrastructure, Platform Engineering, and Application Support teams to maintain highly available production environments, reduce operational risks, and improve service reliability through automation and proactive monitoring.

Key Responsibilities

Reliability Engineering

  • Define

and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to improve platform reliability.

  • Review

application architecture and infrastructure designs to ensure scalability, resilience, and high availability.

  • Drive

reliability improvements across cloud-native applications and distributed systems.

  • Identify

opportunities to eliminate operational bottlenecks through automation and process improvements.

Incident & Production Management

  • Lead

Major Incident Management (P1/P2) activities and act as the primary technical escalation point for critical production issues.

  • Coordinate

with cross-functional teams to restore services within defined SLAs.

  • Conduct

Root Cause Analysis (RCA) and drive preventive and corrective actions to reduce recurring incidents.

  • Participate

in Change Management and Release activities to ensure production stability.

  • Prepare

incident reports and communicate status updates to business and technology stakeholders.

Automation & Platform Engineering

  • Develop

automation scripts and self-healing solutions to improve operational efficiency.

  • Build

reusable operational runbooks and standard operating procedures.

  • Automate

routine operational tasks using Python, Bash, or similar scripting languages.

  • Support

Infrastructure as Code (IaC) initiatives and CI/CD pipeline improvements.

Monitoring & Observability

  • Design

and maintain enterprise monitoring and alerting solutions.

  • Create

dashboards and alerts to proactively monitor application health, infrastructure, APIs, and Kubernetes environments.

  • Analyze

performance trends and recommend improvements for system stability and capacity planning.

  • Ensure

effective monitoring coverage across production environments.

API & Kubernetes Administration

  • Manage

and troubleshoot Google Apigee API Gateway configurations, policies, and traffic routing.

  • Monitor

Kubernetes clusters, workloads, namespaces, ingress controllers, and container health.

  • Optimize

application performance and resource utilization within Kubernetes environments.

  • Support

production deployments and post-release validation activities.

Leadership & Collaboration

  • Mentor

SRE, DevOps, and Production Support engineers.

  • Establish

operational best practices, troubleshooting guidelines, and technical documentation.

  • Collaborate

with Development, QA, Infrastructure, Security, and Business teams to improve platform reliability.

  • Drive

a culture of continuous improvement, automation, and operational excellence.

Required Technical Skills

  • Strong

experience with Google Cloud Platform (GCP).

  • Hands-on

expertise in Google Apigee API Management.

  • Experience

managing production Kubernetes (K8s) environments.

  • Good

understanding of NGINX, reverse proxy, and load balancing concepts.

  • Strong

knowledge of Linux/Unix Administration.

  • Experience

with Python, Bash, or Go scripting.

  • Familiarity

with CI/CD pipelines, Git, and Jenkins.

  • Understanding

of Infrastructure as Code (Terraform or equivalent is preferred).

Monitoring & Observability Tools

Experience with one or more of the following:

  • Datadog
  • Dynatrace
  • Prometheus
  • Grafana
  • Splunk
  • ELK

Stack

  • AppDynamics

Required Qualifications

  • 7–10

years of experience in Site Reliability Engineering (SRE), DevOps, Platform Engineering, or Production Support.

  • Strong

experience supporting enterprise production environments.

  • Hands-on

experience with Kubernetes, GCP, and Google Apigee.

  • Good

understanding of distributed systems, microservices architecture, and cloud-native applications.

  • Experience

in Incident, Problem, Change, and Release Management.

  • Ability

to troubleshoot complex production issues and coordinate cross-functional teams during critical incidents.

Preferred Qualifications

  • Experience

in Banking, Financial Services, or other enterprise environments.

  • ITIL

Foundation certification.

  • Google

Cloud Professional Certification.

  • Kubernetes

Certification (CKA/CKAD) is an added advantage.

  • Experience

with Service Mesh technologies such as Istio is preferred.