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Senior DevOps Engineer

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Brookfield Properties
Full Time position
Listed on 2025-12-10
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Dev Ops Engineer

Brookfield Properties is a real‑estate company focused on housing, logistics, hospitality, office, and retail.

The Corporate team brings together subject matter experts to lead with confidence, adaptability, and resourcefulness. Efficiency is at the core of what we do: we simplify, standardize, automate, and optimize, creating smarter solutions and maximizing value across every facet of Brookfield’s business.

Location

Key Tower – 127 Public Square, Cleveland, OH (optionally Chicago, IL)

Job Description

We are seeking a Senior Dev Ops Engineer to build 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 will drive multi‑cloud platform design (AWS and Azure) with a focus on reliability, automation, and scalability. This role is critical in enabling Brookfield’s modern data ecosystem, including secure, high‑performance AI/ML platforms, enterprise data lakes, and intelligent applications.

You will 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
  • Design and build scalable cloud‑native infrastructure for AI/ML platforms.
  • Automate deployment of infrastructure as code and identify and execute additional areas for automation within cloud solutions.
  • Implement end‑to‑end pipelines and collaborate with ML teams to tune infrastructure for performance, reproducibility, and cost‑efficiency.
  • Support the architecture and operations of infrastructures supporting enterprise‑scale data lakes and cloud data warehouses (Redshift, Snowflake).
  • Automate ingestion, transformation, and lifecycle policies using IaC and orchestration tools, and support big data frameworks.
  • Ensure compliance, encryption, retention, and access control are enforced across all platforms.
  • Design modular, reusable infrastructure‑as‑code across AWS and Azure.
  • Integrate security, cost optimization, disaster recovery, 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.
  • Secure cloud infrastructure across AWS, Azure, and 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.
  • 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 and enable intelligent alerting and logging for infrastructure, pipelines, and AI services.
  • 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.
Your Qualifications
  • 8+ years in Dev Ops, cloud platform engineering, or SRE roles in enterprise environments.
  • Proven experience with AWS and Azure for data platforms, ML infrastructure, and Dev Ops automation.
  • Hands‑on with Sage Maker, 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 Dev Sec Ops  practices.
  • Experienced with monitoring and logging systems.
  • U…
Position Requirements
10+ Years work experience
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