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Added 4 days ago
Quality Assurance Specialist
Syntronic
Ottawa, ON
Full-time
Professional certifications such as ASQ Certified Quality Improvement Associate (CQIA), Certified Quality Auditor (CQA), or Certified Quality Engineer (CQE).
Added 4 days ago
Assistant Facilities Manager
Cushman & Wakefield
Toronto, ON
Full-time
Internal relationships: this role will interact with the Assistant and/or Chief Engineer and other C&W co-workers as well as the Facilities Manager.
Added 4 days ago
Cloud Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Added 4 days ago
AKS Workstream Lead
Capgemini
Mississauga, ON
$75 to $95 CAD / hour
Azure Solutions Architect Expert or Azure Administrator Associate
Added 4 days ago
Presales Solutions Architect
Centrilogic
Toronto, ON
Full-time
Added 4 days ago
Cloud Engineer
RBC
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Added 4 days ago
Technology Lead - Databricks Admin
Infosys
Mississauga, ON
Full-time
Databricks certifications (Admin, Associate Data Engineer, or Architect).
Added 5 days ago
Associate Director, Fleet Services
Niagara Region
Thorold, ON
$140,620 to $165,430 CAD / year
Full-time
The Associate Director, Fleet Services provides strategic leadership and direction for the Region’s corporate fleet, ensuring safe, reliable, and cost-effective vehicle and equipment…
Added 5 days ago
Technology Lead - Databricks
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Burnaby, BC
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Microsoft Certified: Azure Data Engineer Associate (DP-203)
Added 5 days ago
Mechanical Associate (Project Engineer)
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…office is looking for a talented and collaborative Mechanical Associate (Project Engineer) to join our growing Tenant Fit-Out…
Added 6 days ago
Principal Associate, Software Engineer - International Card Tech - Android (Mobile)
Capital One
Toronto, ON
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161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Principal Associate, Software Engineer - International Card Tech - Android (Mobile)
Added 13 days ago
Technology Operations Analyst - Cybersecurity Managed Services, New Brunswick
EY
Dieppe, NB
Relevant certifications such as: Microsoft Certified: Azure Security Engineer Associate, Microsoft Sentinel specialization
Added 5 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
Added 6 days ago
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
Added 18 days ago
Hardware Engineer Standardization - Optical Transceivers
Nokia
Ottawa, ON · Kanata, ON
Full-time
Experience and demonstrated ability in identifying changing business models, and ability to associate these to changing solution/product and architecture requirement.
Added 6 days ago
AI Solution Architect
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
Added 6 days ago
AI Solution Architect
EQ Bank
Toronto, ON
Full-time
Added 6 days ago
Associate Analog Design Engineer
Analog Devices
Toronto, ON · Canada, Toronto
As an Associate Analog Design Engineer at Analog Devices, you will contribute to the design and development of analog and mixed-signal integrated circuits. Working under experienced…
Added 6 days ago
SAP Test Automation Architect
Syncredible Solutions
Calgary, AB
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Added 6 days ago
CyberArk Support Engineer
PwC Canada
Toronto, ON
Full-time
As a Cyberark support Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:
Added 18 days ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 6 days ago
Director, Technical Operations (Platform)
Jobgether
Canada
Full-time
AWS Certified DevOps Engineer – Professional or AWS Certified CloudOps Engineer – Associate certification is preferred; AWS Solutions Architect certifications are also welcome.
Added 6 days ago
Director, Technical Operations (Platform)
Jobgether
Canada
Full-time
AWS Certified DevOps Engineer – Professional or AWS Certified CloudOps Engineer – Associate certification is preferred; AWS Solutions Architect certifications are also welcome.
Added 6 days ago
Cloud Engineer
Sandman Hotel Group
BC · West Vancouver, BC
Full-time
Relevant certifications such as Microsoft Certified: Azure Administrator Associate, Azure Network Engineer Associate, Azure Security Engineer Associate, or Azure Solutions Architect Expert…
Added 7 days ago
Cloud Engineer
Northland Properties
Vancouver, BC
Relevant certifications such as Microsoft Certified: Azure Administrator Associate, Azure Network Engineer Associate, Azure Security Engineer Associate, or Azure Solutions Architect Expert…

Brookfield

Sr Analyst, DevOps

Toronto, ON, Canada

Pay: Salary Range: C$105K-120K
Job type: Full-time
Apply by: Oct 15, 2026
Posting language: English
Posted: Sep 15, 2026

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Original job description

Location

Brookfield Place - 181 Bay Street

Technology Services

Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and reliable AI capabilities that meet business needs across the Brookfield environment. This role translates early-stage concepts and prototypes into production-ready systems, working closely with cross-functional technology teams.

Key Responsibilities

Implement and scale AI capabilities across projects using AWS & Azure native services, building and maintaining the appropriate AI infrastructure and security controls required to run AI applications reliably in the production environment.
Translate prototype and concepts into production-ready implementations by building modular services, APIs, data flows and integration patterns following and applying reusable patterns and enterprise standards.
Implement AI features using LLMs, agent frameworks, retrieval-augmented generation, APIs, orchestration tools and enterprise platforms.
Integrate AI solutions with Brookfield systems and infrastructure to ensure enterprise-wide interoperability.
Build reliable, scalable data pipelines to ingest, transform & validate data – ensuring quality & availability for AI training, inferencing and production workflows
Build reusable APIs and integration layers that enable AI capabilities to be consumed across applications.
Manage the operational support of AI solutions including deployment, configuration and observability across Brookfield environments.
Work closely with internal Brookfield technology teams including cybersecurity, cloud, data, application & project teams to translate requirements into working solutions.
Test AI models, APIs, frameworks and platforms for accuracy, latency, cost, scalability, integration fit and operational readiness.
Document implementation details, APIs, dependencies, deployment steps, operational procedures and known limitations.

Key Deliverables

Deployed, tested and enterprise-integrated AI services, APIs and solutions validated for reliability, security and performance.
Validated, documented data pipelines supporting AI training, inference and production workflows.
Connectors, API contracts and integration layers linking AI capabilities to business applications.
Reusable service templates and implementation patterns adopted across AI projects
CI/CD workflows for AI models and service deployments across all environments.
Monitoring and observability setup through dashboards, alerts and logging for AI workloads closely monitoring performance, costs and reliability.
Hardened AWS and Azure infrastructure and security configurations for AI workloads.
Evaluation reports benchmarking AI models, APIs and frameworks for accuracy, latency, costs and scalability.
Architecture-aligned technical documentation, including API references, deployment runbooks and known limitations
Operational runbooks for incident response, troubleshooting and maintenance of AI workloads.

Required Experience

3-5+ years in software engineering, data engineering or ML engineering roles
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Experience translating prototypes or proof-of-concepts into scalable production-grade AI based solutions
Working experience with AWS and/or Azure, particularly AI/ML services (e.g., SageMaker, Bedrock, Azure ML, Azure Foundry)
Experience with IAM, networking & security configuration for cloud workloads.
Experience with containerization and orchestration (Docker, Kubernetes/ECS/EKS)
Practical experience with LLMs, prompt engineering and agent orchestration frameworks (e.g. Langchain/LangGraph, MS Agent Framework/Semantic Kernel)
Experience implementing RAG (retrieval-augmented generation) architectures, including vector databases (Azure AI Search, AWS OpenSearch, Bedrock KB, AWS DocumentDB)
Familiarity with model serving and inference patterns, including real-time, batch and API based approaches.
Strong API development experience (REST, GraphQL)
Proficiency in Python with CI/CD pipeline experience (GitHub Actions, Azure DevOps)

Skills & Qualifications

Bachelor’s degree in computer science, Software Engineering, Data Science or related field
Proficiency in Python, with familiarity in JavaScript/TypeScript
Skilled in LLMs, prompt engineering, RAG architectures, vector databases and agent orchestration frameworks.
Proficient in REST/GraphQL API build, microservices and integration patterns
Proficient in building ETL/ELT pipelines and validating data using cloud native tools like AWS Glue or Azure Data Factory
Proficient in CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and MLOps practices including model deployment, versioning, and monitoring
Strong problem solving and analytical thinking with a required ability to translate ambiguous requirements into working solutions
Effective technical communicator with a required ability to clearly communicate solutions to both technical and non-technical stakeholders
Demonstrated decisiveness taking ownership of technical decisions and solutions willing to make calculated judgement calls under ambiguity rather than defaulting to indecision.
Adaptable to work with evolving AI tools/frameworks in a fast-changing landscape

Preferred Qualifications

AWS Certified Machine Learning Engineer - Associate
AWS Certified Generative AI Developer - Professional
Azure AI Cloud Developer Associate
Azure AI App and Agent Developer Associate

Salary Range: C$105K-120K

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe, respectful; our shared success depends on it. We do not tolerate workplace discrimination, violence or harassment. We are proud to be an Equal Opportunity Employer and make employment decisions based on qualifications, merit, and business needs, without regard to any characteristic protected by applicable law. Applicant information is collected and handled in accordance with our Applicant Privacy Notice. As part of this commitment, we provide barrier-free and accessible employment practices in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and applicable human rights legislation. If you require a Human Rights Code-protected accommodation at any stage of the recruitment process, please let us know when contacted, and we will work with you to meet your needs.

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More about this job

Responsibilities

Build and deliver scalable, production-ready AI solutions and infrastructure using AWS and Azure native services. Develop data pipelines, APIs, and integration layers to ensure AI capabilities are interoperable across the enterprise.

Requirements

Requires 3-5+ years of experience in software, data, or ML engineering with a proven track record of deploying AI/ML solutions in production. Must be proficient in Python, cloud platforms, and agent orchestration frameworks.

Skills

Python
AWS
Azure
LLMs
RAG
Prompt Engineering
Docker
Kubernetes
CI/CD
API Development
Vector Databases
MLOps
Langchain
ETL/ELT Pipelines
JavaScript
TypeScript

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
SageMaker
Bedrock
Azure ML
Azure Foundry
LLM
RAG
Langchain
LangGraph
Semantic Kernel
Vector Databases
Azure AI Search
OpenSearch
Docker
Kubernetes
ECS
EKS
Python
REST
GraphQL
GitHub Actions
Azure DevOps
MLOps
AWS Glue
Azure Data Factory
IAM
Microservices
ETL
ELT

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