Senior DevOps Engineer

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🔥 44 minutes ago

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Logo of Jones Lang LaSalle Americas, Inc.

Jones Lang LaSalle Americas, Inc.

10,000+ employees

We provide commercial real estate services for corporations and investors across the globe that save money, increase productivity and improve sustainability.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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