Lead DevOps Engineer - AI & Cloud Automation (Remote)

Genpact Ltd.

San Pedro Garza García

Remote

MXN 2,246,000 - 3,369,000

Full time

2 days ago
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Job summary

Genpact Ltd. is seeking a Lead Engineer with DevOps expertise to guide a skilled team, shape automation strategy, and drive reliable deployments across AWS, Azure, and GCP.

You will own infrastructure, CI/CD pipelines, containerization, and IaC practices while partnering with software and operations teams to resolve production incidents and optimize costs. If you thrive in a fast-moving, innovation-driven environment and want to advance AI-enabled transformations for global enterprises, join us

Qualifications

  • Bachelor's or master's degree in a relevant field and cloud experience.
  • Strong experience leading DevOps teams and designing CI/CD pipelines.
  • Proven track record with AWS/Azure/GCP and IaC tooling.

Responsibilities

  • Lead and mentor a DevOps engineering team across workstream.
  • Own infrastructure automation and CI/CD pipeline design for scalability and security.
  • Define DevOps best practices and tooling strategies aligned with roadmaps.
  • Troubleshoot production incidents and drive root-cause analysis.
  • Architect cloud solutions on AWS/Azure/GCP with cost/performance focus.
  • Drive containerization, orchestration, and IaC adoption across teams.
  • Manage DevOps budget, vendor relationships, and tool licensing.

Skills

Agile Methodology
AWS
Continuous Delivery
Docker
Git
Google Cloud Platform
Infrastructure As Code
Microsoft Azure
Performance Tuning
Process Consulting
Splunk
SQL

Education

Bachelor's - Computer Science
Bachelor's - Computer Systems Technology
Bachelor's - Software Engineering
Master's - Computer Engineering
Master's - Information Technology

Tools

Kubernetes
Terraform

Job description

Genpact Ltd. is seeking a Lead Engineer with DevOps expertise to guide a skilled team, shape automation strategy, and drive reliable deployments across AWS, Azure, and GCP.

You will own infrastructure, CI/CD pipelines, containerization, and IaC practices while partnering with software and operations teams to resolve production incidents and optimize costs. If you thrive in a fast-moving, innovation-driven environment and want to advance AI-enabled transformations for global enterprises, join us

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