DevOps Engineer for Sensitive Data Detection

DevOps Engineer for Sensitive Data Detection

Your role

We are looking for someone who can help us with following key tasks:

1. Deploy cloud infrastructure/services, manage day to day operations, troubleshoot issues related to cloud infrastructure/services, deploy, and manage AKS clusters
2. Collaborate with development teams to integrate infrastructure and deployment pipelines in the SDLC.
3. Build and setup new CI/CD tooling and pipelines for application build and release.
4. Implement migrations, upgrades, and patches in all environments

Your team

You’ll be working in the Sensitive Data Detection Services team based in our Pune EON-2 Office. We analyze, develop and deliver global solutions to maintain or change our IT systems with our business counterparts. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future. As an experienced DevOps Engineer, you'll play an important role in building and maintaining GIT and ADO CI/CD pipelines, creating scalable AKS clusters, application deployment in different environments, etc. You will join a team of highly talented engineers who are experienced in delivering scalable enterprise engineering solutions.

Your expertise

• Ideally 8 to 12 years of experience in DevOps area
• Strong understanding of DevOps principles and best practices, with hands-on experience implementing CI/CD pipelines, infrastructure as code, and automation solutions.
• Hands-on on Azure Kubernetes Services (AKS) and Linux. Monitor, analyze, configure, deploy, enhance, and manage containerized applications on AKS
• Experience in handling helm charts, ADO and Git Lab pipelines
• Proficiency with cloud platforms such as Azure including experience with cloud services, infrastructure provisioning and management.
• Help to Implement infrastructure as code (Iac) solutions using tools such as Terraform or Ansible to automate the provisioning and configuration of cloud and on-premises environments.
• Maintain stability of non-prod environments
• Support Gitlab pipelines across several MS Azure resources/services
• Research opportunities for automation, troubleshooting, and issues as reported by users
• Interact efficiently with the business and development teams at all levels
• Flexible working hours to accommodate the international project setup
• Collaborate with cross-functional teams (Database, UNIX, Cloud, etc.).