Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Sr Analyst, DevOps role.
Rezi rewrites your resume against Brookfield Asset Management's job description. Free.

Tailor your resume to this Sr Analyst, DevOps role.
Rezi rewrites your resume against Brookfield Asset Management's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Sr Analyst, DevOps posting at Brookfield Asset Management — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Sr Analyst, DevOps posting at Brookfield Asset Management — free, in seconds.
About the Role
The Senior AI Cloud Developer Analyst 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.
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.
Requirements
- 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
- Python
- JavaScript/TypeScript
- LLMs
- Prompt engineering
- RAG architectures
- Vector databases
- Agent orchestration frameworks
- REST/GraphQL API build
- Microservices
- Integration patterns
- ETL/ELT pipelines
- Data validation
- AWS Glue
- Azure Data Factory
- CI/CD pipelines
- Containerization (Docker, Kubernetes/ECS/EKS)
- MLOps practices
- Model deployment
- Model versioning
- Model monitoring
- Problem solving
- Analytical thinking
- Technical communication
- Decisiveness
- Adaptability
Location
- Brookfield Place - 181 Bay Street
Work Type
- Full-time
Experience Level
- Senior
- 3-5+ years
Education Level
- Bachelor’s degree in computer science, Software Engineering, Data Science or related field
Salary/Compensations
- C$105K-120K
Benefits
- Development of our people through challenging work assignments and exposure to diverse businesses.
About the Company
- Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.
- 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 maintaining a Positive Work Environment that is safe, respectful; our shared success depends on it. We do not tolerate workplace discrimination, violence or harassment.
Equal Opportunity
- 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.