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EXL

Senior DevOps Engineer

EXL

. Build and operate scalable DevOps capabilities enabling faster, safer, and more reliable software delivery .

Posted 9/17/2026full-timeMexico City • MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and operating scalable DevOps capabilities, with a strong focus on CI/CD pipeline design, containerized deployments on Kubernetes, and Infrastructure as Code automation. Proficient in embedding DevSecOps controls and utilizing AI for operational efficiency and security.

Highest-signal resume keywords
CI/CD Pipeline DesignKubernetes ManagementInfrastructure as Code AutomationDevSecOps ControlsAI-Assisted Root-Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CI/CD Pipeline OptimizationContainerized Deployment ManagementInfrastructure as CodeMonitoring and LoggingOperational ResilienceAI-Generated Automation ValidationGovernance Controls for AIRoot-Cause AnalysisIncident ManagementAlerting Systems
Certifications & Qualifications
Bachelor's in EngineeringMaster's in Engineering
Industry Keywords
DevOpsDevSecOpsScalable Software DeliveryOperational EfficiencyAI in Operations

Tech Stack

Tools & technologies
Kubernetes

About the role

Key responsibilities & impact
  • Build and operate scalable DevOps capabilities enabling faster, safer, and more reliable software delivery
  • Design, implement, and optimize CI/CD pipelines
  • Manage containerized deployments and operations on Kubernetes
  • Automate infrastructure and environments using Infrastructure as Code
  • Embed DevSecOps controls into build and release workflows
  • Improve monitoring, logging, alerting, and operational resilience
  • Use AI assistance for root-cause analysis across logs, metrics, and incidents
  • Use AI to draft pipeline definitions, IaC modules, and operational runbooks
  • Validate AI-generated automation for reliability and security before rollout
  • Apply governance controls for secure AI usage in platform operations

Requirements

What you’ll need
  • Bachelor's/Master's in Engineering
  • 2-5 years of experience
  • Experience designing, implementing, and optimizing CI/CD pipelines
  • Experience managing containerized deployments and operations on Kubernetes
  • Experience automating infrastructure and environments using Infrastructure as Code
  • Knowledge of DevSecOps controls in build and release workflows
  • Experience with monitoring, logging, alerting, and operational resilience
  • Ability to use AI assistance for root-cause analysis across logs, metrics, and incidents
  • Ability to use AI to draft pipeline definitions, IaC modules, and operational runbooks
  • Ability to validate AI-generated automation for reliability and security
  • Knowledge of governance controls for secure AI usage in platform operations