Lead, Cloud & DevOps Engineer

attractiveness of a platform to end-users comes not from the platform itself but from what they can do with it. Schneider Digital is leading the digital transformation of Schneider Electric by building a highly available, massive scalable AI Platform for the enterprise.

The AI Technology team is seeking DevOps Engineers who can support and manage AI RPA Platforms to support the needs of the organization, ensuring that all the Platform system components are working at optimal levels and support the infrastructure expansion requirements.

You ll get the chance to work with experienced engineers across our enterprise with a chance to move across varying automation technologies roles in the future.

Responsibilities

• Design, implement, and maintain highly available and scalable CI/CD pipelines to streamline software delivery.
• Manage and optimize cloud infrastructure on AWS, ensuring performance, cost-efficiency, and security.
• Develop robust scripts and tools in

  Python

  to automate routine tasks and processes.
• Monitor system performance, troubleshoot issues, and implement robust logging and alerting mechanisms.
• Collaborate with development teams to enhance application scalability, reliability, and deployment strategies.
• Implement and manage container orchestration tools such as Kubernetes or ECS.
• Ensure adherence to best practices in DevOps, including security, compliance, and disaster recovery planning.
• Document processes, configurations, and workflows for future reference and scalability.
• Oversee the infrastructure of Blue Prism, UI Path RPA platform, Task Mining, IDP, etc., on AWS VPC, involving server management, application installation, configuration, and operations.

Requirements and Skills:

• 5 - 8 years of experience DevOps engineering managing enterprise infrastructure operations from concept to production.
• Bachelor s or master s degree in software engineering or information technology or computer science.

• Strong knowledge of Python

  for scripting and automation.
• Hands-on experience with AWS services (EC2, S3, EFS, etc.).

• AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent)

  is preferable.
• Proficiency in CI/CD tools such as Jenkins, GitHub actions
• Experience on working RPA environment would be added advantage.
• Strong written and oral communication skills, and the ability to effectively communicate with technical and non-technical audiences.
• Strong skill set in handling complex SQL queries and MS Visualization Dashboard (Tableau).
• Hands-on experience in managing Docker, Kubernetes (EKS), Ranchers, Grafana, Prometheus, IaC.