Senior DevOps Engineer
Listed on 2025-12-08
-
IT/Tech
Cloud Computing, Systems Engineer, Data Engineer, Cybersecurity
Location
Key Tower - 127 Public Square
Job DescriptionWe Are Brookfield Properties:
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 Dev Ops 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.
Role & 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 Git Ops-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 Dev Ops, Cloud Operations, IaC, cloud-native platforms, and data/ML workflows
- Continuously improve automation maturity, developer velocity, and platform resiliency
Qualifications:
- 8+ years in Dev Ops, cloud platform engineering, or SRE roles in enterprise…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).