Project Role : Application Tech Support Practitioner

Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.

Must have skills : Site Reliability Engineering

Good to have skills : Cloud Infrastructure, Cloud Automation DevOps, Infrastructure Automation

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

AI Powered Tech Talent

A Site Reliability Engineer (SRE) ensures systems are stable, scalable, and highly available, bridging the gap between Business Application development and IT operations. This role combines automation, observability, incident response, and performance engineering to maintain continuous service reliability while accelerating delivery velocity. The Site Reliability Engineer designs and maintains production systems that meet defined Service Level Objectives (SLOs) and error budgets. Using software engineering principles, an SRE prevents downtime, automates operations, and improves platform performance through observability, fault tolerance, and system resilience.

Roles & Responsibilities

Reliability and Performance: Monitor and optimize system uptime, latency, and throughput to meet SLOs and SLIs.
Incident Management: Lead incident response, manage escalations, perform root cause analysis (RCA), and drive postmortem reviews.
Automation and Tooling: Develop CI/CD pipelines, automate infrastructure management, and eliminate manual toil through scripting and orchestration.
Monitoring and Observability: Implement metrics, logging, and tracing frameworks (Prometheus, Grafana, ELK, Datadog) to gain real-time visibility into distributed systems.
Capacity Planning: Conduct resource forecasting, design scalable infrastructure, and handle performance under surge conditions.
Change & Release Management: Partner with developers to ensure safe, reliable rollout of new features with automated testing and rollback mechanisms.
Disaster Recovery & Resilience Engineering: Implement multi-region resilience strategies, chaos tests, and failover automation for business continuity.
Process Improvement: Use post-incident analytics to refine operational practices and improve reliability with data-driven improvements.
Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, AZURE DEV OPS or Pulumi.
Expert in Cloud IaaS and PaaS services.

Professional & Technical Skills

Expertise in Python, Go, Bash, or JavaScript for automation and tooling.
Hands-on with cloud environments AWS, Azure, GCP and orchestration tools like Kubernetes and Terraform.
Deep understanding of Linux systems, networking, and distributed architectures.
Experience with observability solutions Prometheus, Grafana, Datadog, CloudWatch, or New Relic.
Familiarity with incident management and alerting platforms (PagerDuty, xmatters)
Proficiency in CI/CD frameworks such as Jenkins, GitHub Actions, or GitLab CI.
Working knowledge of security, compliance, and performance optimization for highly available systems.

Additional Information

Good to have certifications as below

AWS Certified Solutions Architect
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
Hashi Corp Certified: Terraform Associate
Certified DevOps Engineer certifications (AWS, Azure, or Google)