Senior DevOps Engineer — Azure Data Platform

JLL; Jalisco; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

JLL is seeking a Senior DevOps Engineer in Mexico to support, maintain, and advance the enterprise data platform. This role is an individual contributor focused on designing, developing and supporting strategic solutions built on modern technologies and patterns.

You will partner with global and regional teams, leverage Azure, IaC with Terraform, CI/CD pipelines, and containerization (Docker/Kubernetes) to drive reliability, performance, and cost efficiency.

Formación

• Bachelor's degree in CS, Eng or related field, or equivalent experience.
• 5+ years in DevOps, SRE, or Infra Eng roles.
• Expert-level Azure services & cloud architecture patterns.
• Advanced experience with Terraform infrastructure as code.
• Strong CI/CD design and implementation background.
• Experience with containerization (Docker, Kubernetes) and orchestration.
• Proficiency in Python or Go.
• Solid understanding of data platform technologies and big data ecosystems.
• Experience with monitoring/observability tools (DataDog, CloudWatch, Prometheus).

Responsabilidades

• Collaborate with application teams to prioritize and deliver new user-facing functionality, including data ingestion capabilities, subscription-based data consumption models, and advanced analytics features
• Design and implement internal platform capabilities such as comprehensive monitoring and alerting systems, automated testing frameworks, and performance optimization tools
• Manage and maintain support queues across data platform domains (Ingest, Prepare, Storage, Consume) while establishing and meeting agreed-upon SLAs
• Design, build, and maintain Infrastructure as Code solutions using Terraform, including modules, workspaces, state management, and CI/CD integration
• Standardize environment provisioning processes across development, staging, and production environments
• Develop scalable, reliable, and well-monitored infrastructure components that form the backbone of JLL's data platform
• Champion and implement "Infrastructure as Code" practices across the entire platform team
• Establish comprehensive tagging strategies, budget controls, and chargeback mechanisms to ensure transparent cost allocation
• Optimize compute, storage, and job configurations for cost efficiency while maintaining performance standards
• Implement storage lifecycle policies and automated cost optimization practices
• Mentor and coach application teams on tools, technologies, and design patterns to promote best practices across the organization
• Participate in monthly Architecture Review Board meetings, providing technical expertise and infrastructure perspective
• Collaborate closely with application team leads to ensure CI/CD frameworks, component monitoring, and incident escalation procedures meet team needs
• Work with data engineers, data scientists, and business stakeholders to unblock deliverables and enable rapid innovation
• Drive continuous improvement initiatives to enhance platform reliability, performance, and cost-effectiveness

Conocimientos

Azure services

Cloud Architecture

CI/CD

Docker

Kubernetes

Python/Go

Monitoring/Observability

Data platform knowledge

Leadership (mentoring)

Educación

Bachelor's degree in CS/Engineering or related field

Herramientas

Terraform

DataDog

CloudWatch

Prometheus

Descripción del empleo

JLL is seeking a Senior DevOps Engineer in Mexico to support, maintain, and advance the enterprise data platform. This role is an individual contributor focused on designing, developing and supporting strategic solutions built on modern technologies and patterns.

You will partner with global and regional teams, leverage Azure, IaC with Terraform, CI/CD pipelines, and containerization (Docker/Kubernetes) to drive reliability, performance, and cost efficiency.