Senior DevOps Engineer

Brookfield Properties•Cleveland, OH

18d•$155,000 - $170,000

About The Position

At Brookfield Properties, our people are the foundation of our success. The Brookfield Properties Corporate team brings together subject matter experts who lead with confidence, adaptability, and resourcefulness. The corporate group works across all sectors of Brookfield’s real estate business – including housing, logistics, hospitality, office, and retail – collaborating with our best-in-class asset managers. Efficiency is at the core of what we do. We seek to simplify, standardize, automate, and optimize—creating smarter solutions and maximizing value across every facet of Brookfield’s business. When you join the Brookfield Properties Corporate team, you become part of a high-performing, collaborative environment where innovation and impact thrive. We are seeking a Senior DevOps Engineer to join Brookfield Properties in Cleveland, OH or Chicago, IL. This role is a deeply technical role responsible for building the foundational infrastructure powering Brookfield’s most strategic initiatives: artificial intelligence, machine learning, and enterprise-scale data platforms. Reporting to the Cloud Architect, this engineer drives multi-cloud platform design (AWS and Azure), with a focus on reliability, automation, and scalability. This position is critical in enabling Brookfield’s modern data ecosystem including secure, high performance AI/ML platforms, enterprise data lakes, and intelligent applications. You'll partner with cloud, security, data engineering, and ML teams to deliver automated, compliant, and production grade platforms that power analytical and operational workloads.

Requirements

8+ years in DevOps, cloud platform engineering, or SRE roles in enterprise environments
Proven experience with AWS and Azure for data platforms, ML infrastructure, and DevOps automation
Hands-on with SageMaker, Azure ML, Kubeflow, MLflow or other enterprise-grade MLOps platforms
IaC expertise with Terraform or ARM/Bicep is a plus
Fluent in Python and/or Bash for scripting, automation, and platform integrations
Experience building and operating data lakes and data warehouses in the cloud (e.g., S3/ADLS, Redshift, Snowflake)
Strong skills in CI/CD pipelines and DevSecOps practices
Experienced with monitoring and logging systems
Understanding of security, compliance, encryption, IAM, and policy-as-code in a cloud environment
Excellent collaboration and mentoring capabilities; strong communication across technical and business stakeholders

Nice To Haves

IaC expertise with Terraform or ARM/Bicep is a plus

Responsibilities

AI & ML Platform Engineering Design and build scalable cloud-native infrastructure for AI/ML platforms
Automate deployment of infrastructure as code and identify and execute on other areas for automation within cloud solutions
Implement end-to-end pipelines
Collaborate with ML teams to tune infrastructure for performance, reproducibility, and cost-efficiency.
Data Lake & Data Warehouse Infrastructure Support the architecture and operations of infrastructure supporting enterprise-scale data lakes and cloud data warehouses (Redshift, Snowflake)
Automate ingestion, transformation, and lifecycle policies using IaC and orchestration tools
Support big data frameworks
Ensure compliance, encryption, retention, and access control are enforced across all platforms
Multi-Cloud Infrastructure & Automation Design modular, reusable infrastructure-as-code across AWS and Azure
Integrate security, cost optimization, DR, and compliance as code into platform blueprints
Build GitOps-based deployment pipelines for infrastructure, ML services, and platform updates
Implement policy-as-code for environment governance
Cybersecurity Secure cloud infrastructure across AWS, Azure & GCP, embedding defense-in-depth and zero-trust principles throughout network and compute layers
Implement secure networking architectures including private connectivity, encryption in transit, and segmentation of critical workloads
Harden CI/CD pipelines with automated vulnerability scanning, secret management, and signed artifact verification
Collaborate with Security Operations to ensure cloud telemetry, threat detection, and incident response are integrated into platform monitoring
CI/CD, Monitoring & Observability Build and manage scalable CI/CD pipelines supporting data, ML, and app workloads
Integrate security scanning, test automation, and artifact promotion
Deploy observability tooling across ML and data pipelines
Enable intelligent alerting and logging for infrastructure, pipelines, and AI services
Cross-Functional Collaboration & Strategy Work with data engineers, ML scientists, software teams, and security to deliver cohesive platforms
Shape strategy and future-state architecture for AI enablement and MLOps
Mentor engineers on DevOps, Cloud Operations, IaC, cloud-native platforms, and data/ML workflows
Continuously improve automation maturity, developer velocity, and platform resiliency