Sr Analyst, DevOps
Brookfield Asset Management22 hours ago
Toronto, CanadaSenior
Responsibilities
- Build and scale production AI capabilities using AWS and Azure native services.
- Translate prototypes and proof-of-concepts into modular, production-ready services, APIs, data flows, and integration patterns.
- Implement LLM, agent-orchestration, retrieval-augmented generation, and enterprise AI solutions.
- Build, validate, and maintain data pipelines for AI training, inference, and production workflows.
- Develop reusable APIs, connectors, integration layers, service templates, and CI/CD workflows.
- Deploy, configure, monitor, troubleshoot, and operationally support AI workloads across Brookfield environments.
- Configure cloud infrastructure, IAM, networking, security controls, containerization, and observability for AI solutions.
- Test and benchmark AI models, APIs, frameworks, and platforms for accuracy, latency, cost, scalability, integration fit, and operational readiness.
- Document architecture, APIs, deployment procedures, operational runbooks, dependencies, and known limitations.
- Collaborate with cybersecurity, cloud, data, application, and project teams to translate requirements into working solutions.
Requirements
- 3–5+ years of experience in software engineering, data engineering, or ML engineering roles.
- Hands-on experience building and deploying AI/ML solutions in production environments rather than only prototypes or notebooks.
- Experience converting prototypes into scalable, production-grade AI solutions.
- Working experience with AWS and/or Azure AI/ML services, including services such as SageMaker, Bedrock, Azure ML, and Azure Foundry.
- Experience with IAM, networking, security configuration, Docker, Kubernetes, ECS, or EKS.
- Practical experience with LLMs, prompt engineering, agent orchestration, RAG architectures, and vector databases.
- Experience with model serving and inference patterns, including real-time, batch, and API-based approaches.
- Strong API development experience with REST and GraphQL.
- Python proficiency and experience with CI/CD pipelines.
- Bachelor’s degree in computer science, software engineering, data science, or a related field.
- Familiarity with JavaScript or TypeScript, microservices, integration patterns, ETL/ELT pipelines, MLOps, model deployment, versioning, and monitoring.
- Strong problem-solving, analytical, communication, ownership, and decision-making skills.
- Preferred certifications include AWS Certified Machine Learning Engineer – Associate, AWS Certified Generative AI Developer – Professional, Azure AI Cloud Developer Associate, and Azure AI App and Agent Developer Associate.
Benefits
- Salary range is C$105K–120K.
- The position is based at Brookfield Place, 181 Bay Street.
- Brookfield offers challenging work assignments, exposure to diverse businesses, and professional development opportunities.
- Brookfield provides equal opportunity employment and barrier-free accommodation practices in accordance with applicable legislation.
Tech Stack
Categories
About Brookfield Asset Management
Brookfield Asset Management is a global alternative asset manager that invests in and operates real assets and private markets across real estate, infrastructure, renewable power, and credit for institutional and other long-term investors. It earns management and performance fees by running private funds and listed partnerships. Headquartered in Toronto, it is publicly traded on the NYSE and TSX and is majority-owned by Brookfield Corporation.