Educational Requirements

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

Service Line

Data Analytics Unit

Responsibilities

- Infrastructure Cloud Management: Design, deploy, and maintain scalable cloud infrastructure across AWS, Azure, or GCP.
- Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or ARM templates.
- Ensure high availability, disaster recovery, backup, and scalability of applications and platforms.
- Optimize cloud resource utilization and manage infrastructure costs.

Additional Responsibilities
- Monitoring Reliability Engineering: Implement monitoring, logging, alerting, and observability solutions. Perform root cause analysis and troubleshoot production incidents. Define and track system SLAs, SLOs, and KPIs. Drive reliability, availability, and performance improvements.
- Security Compliance: Integrate security controls into CI/CD pipelines. Implement DevSecOps practices and vulnerability management.



Ensure compliance with organizational security and governance standards. Manage secrets, certificates, and access controls securely.

Technical and Qualified Requirements
- CI/CD Automation: Build, maintain, and optimize CI/CD pipelines for automated build, testing, deployment, and release management.
- Automate infrastructure provisioning, configuration management, and deployment processes.
- Implement GitOps principles and deployment automation strategies.
- Containerization Orchestration: Deploy and manage containerized workloads using Docker and Kubernetes.
- Improve application scalability and resilience through container orchestration best practices.
- Support Kubernetes clusters, service mesh, and microservices deployments.

Preferred Skills
- AWS
- Azure
- GCP
- Terraform
- CloudFormation
- ARM templates
- Docker
- Kubernetes
- Ansible

📌 DevOps Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru