Senior Site Reliability Engineer

Infosys; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking an experienced professional for the Data Analytics Unit to design, build, and operate reliable production systems across AWS, Azure, or GCP. You will define service level indicators, automate deployments, and drive capacity planning and incident response.

The role emphasizes observability, security compliance, and collaboration with security teams to ensure resilient infrastructure. Candidates with cloud, IaC, and DevOps/SRE experience are preferred.

Qualifications

• Experience with cloud infrastructure deployment and management.
• Proficiency with IaC and automation tooling.
• Strong knowledge of monitoring, logging, tracing, and alerting.
• Experience with Kubernetes-based platforms and containerized workloads.
• Ability to drive reliability improvements and incident response.

Responsibilities

• Reliability Engineering: Design, build, and maintain highly available and fault-tolerant production systems.
• Define and monitor SLIs, SLOs, and SLAs for critical services.
• Drive reliability improvements through automation and proactive engineering.
• Conduct capacity planning and performance optimization activities.
• Production Support Operations: Manage production environments and ensure service uptime.
• Lead incident response, troubleshooting, and root cause analysis (RCA).
• Develop runbooks, operational playbooks, and disaster recovery procedures.
• Automation DevOps: Automate deployments, infrastructure management, and operational workflows.
• Improve CI/CD pipelines and release processes.
• Implement self-healing, auto-scaling, and operational automation solutions.
• Promote DevOps and SRE best practices across engineering teams.
• Security Compliance: Ensure production environments meet security and compliance requirements.
• Manage secrets, access controls, and vulnerability remediation.
• Partner with security teams to implement security best practices.

Skills

Cloud Infra

IaC

Kubernetes

Observability

CI/CD

Automation

DevOps

Security

Incident Response

Capacity Planning

Education

Bachelor of Engineering

BCS

BBA

BCom

MCA

MSc

Tools

AWS

Azure

GCP

Terraform

Kubernetes

Job description

Educational Requirements

• Bachelor of Engineering, BCS, BBA, BCom, MCA, MSc

Service Line

Data Analytics Unit

Responsibilities

• Reliability Engineering: Design, build, and maintain highly available and fault-tolerant production systems.
• Define and monitor SLIs, SLOs, and SLAs for critical services.
• Drive reliability improvements through automation and proactive engineering.
• Conduct capacity planning and performance optimization activities.
• Production Support Operations: Manage production environments and ensure service uptime.
• Lead incident response, troubleshooting, and root cause analysis (RCA).
• Develop runbooks, operational playbooks, and disaster recovery procedures.

Additional Responsibilities:

• Automation DevOps: Automate deployments, infrastructure management, and operational workflows.
• Improve CI/CD pipelines and release processes.
• Implement self-healing, auto-scaling, and operational automation solutions.
• Promote DevOps and SRE best practices across engineering teams.
• Security Compliance: Ensure production environments meet security and compliance requirements.
• Manage secrets, access controls, and vulnerability remediation.
• Partner with security teams to implement security best practices.

Technical and Professional Requirements:

• Cloud Infrastructure: Deploy and manage cloud-native infrastructure across AWS, Azure, or GCP.
• Automate infrastructure provisioning using Infrastructure as Code (IaC).
• Implement scalable and secure infrastructure solutions.
• Support Kubernetes-based platforms and containerized workloads.
• Observability/Monitoring: Build monitoring, logging, tracing, and alerting solutions.
• Implement observability frameworks using industry-standard tools.
• Monitor application health, performance metrics, and infrastructure utilization.
• Drive continuous improvements in platform visibility and diagnostics.

Preferred Skills

• Domain->Manufacturing->Production Planning
• Technology->DevOps->Site Reliability Engineering(SRE)