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

Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent professional experience
5+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles
Expert-level proficiency with Azure services and Cloud Architecture patterns
Advanced experience with Infrastructure as Code tools, particularly Terraform
Strong background in CI/CD pipeline design and implementation
Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms
Proficiency in at least one programming language (Python, Go, or similar)
Solid understanding of data platform technologies and big data ecosystems
Experience with monitoring and observability tools (DataDog, CloudWatch, Prometheus, or similar)

Senior DevOps Engineer

Key skills