Senior Site Reliability Engineer

Infosys; Hyderabad; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Infosys is hiring for a Data Analytics Unit role in Hyderabad. You will design, build and maintain highly available production systems, defining SLIs/SLOs/SLAs and driving reliability via automation. You will lead incident response, capacity planning and disaster recovery, while automating deployments and improving CI/CD pipelines.

Security practices and secret management are integral to the role. Ideal candidates hold a BE/ BTech or related degree with DevOps/SRE exposure, cloud and IaC

Qualifications

• Bachelor's degree in engineering or related field (B.E./B.Tech./MCA/MSc) or equivalent.
• Open to multiple technical backgrounds including BCS, BBA, BCom with relevant DevOps/SRE exposure.

Responsibilities

• Design, build, and maintain highly available 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.
• Lead production support, incidents, and RCA.
• Develop runbooks and disaster recovery procedures.
• Automate deployments and workflows; improve CI/CD pipelines.
• Implement security practices and manage credentials.

Skills

Reliability Engineering

DevOps

SRE

Kubernetes

Cloud - AWS/Azure/GCP

Infrastructure as Code

Observability

Automation

Education

Bachelor of Engineering

BCS

BBA

BCom

MCA

MSc

Tools

Terraform

Ansible

CI/CD Pipelines

Docker

Jenkins

Prometheus

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)