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Added 1 hour ago
LLM Engineer
ZS
Toronto, ON
…with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for…
Added 2 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Bring informed perspectives on Generative AI, Agentic AI, AI-enabled business processes, intelligent applications, and enterprise AI platforms.
Added 2 hours ago
O
Director, Value Creation Private Markets
OPTrust
Toronto, ON
- Full-time
Added 2 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Use modern cloud-native architecture, event-driven patterns, observability, and Agentic engineering practices to move faster without compromising quality.
Added 3 hours ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
…intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance and alignment with overall enterprise…
Added 3 hours ago
S
Business Development Representative - Toronto
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 3 hours ago
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Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
…be opportunity to develop deeper expertise in areas such as agentic systems, orchestration, and model evaluation, supported by structured learning and meaningful project…
Added 3 hours ago
B
Production Operations Manager
BMO
Toronto, ON · SCC
- Full-time
…automation, predictive monitoring, self-healing capabilities, Agentic AI, and end-to-end operational…
Added 3 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
…be opportunity to develop deeper expertise in areas such as agentic systems, orchestration, and model evaluation, supported by structured learning and meaningful project…
Added 4 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 5 hours ago
V
AI Solution Lead
Virtusa
Toronto, ON
- Full-time
We are seeking a highly skilled GEN AI Architect with a strong focus on Agentic AI to join our team. The ideal candidate will possess extensive knowledge and experience in generative AI…
Added 5 hours ago
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Member of Technical Staff
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the…
Added 5 hours ago
SM
Associate Director - Halifax
S M Software Solutions Inc
Halifax, NS
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 5 hours ago
SM
Associate Director
S M Software Solutions Inc
Toronto, ON
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 5 hours ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
…with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for…
Added 6 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 6 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Experience developing or integrating AI, machine learning, agentic, or automation technologies to improve engineering, security, or operational workflows.
Added 6 hours ago
A
Gestionnaire principal en transformation financière
Accenture
Calgary, AB
- Full-time
Added 7 hours ago
CL
FULLSTACK AI DEVELOPER
Collège LaSalle, Montréal
Portage-du-Fort, QC
- Full-time
As a Fullstack AI Developer, and under the supervision of the Director - IT Delivery you design, develop, and deliver software solutions by leveraging advanced agent coding workflows. You…
Added 7 hours ago
E
EQXJP00005574 Technology Program Management Senior Staff_CAN
Equinix
Toronto, ON
- $70 to $80 CAD / hour
- Contract
…platforms. Candidates should be able to build AI agents and agentic workflows that automate and scale insights, reporting, and execution management, turning program data into actionable…
Added 7 hours ago
PI
Senior Director Product Marketing – Competitive and Sales Enablement
Ping Identity
Canada
- Full-time
Added 7 hours ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Added 7 hours ago
RB
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
Design scalable evaluation approaches for generative AI and agentic systems, including task-level, workflow-level, trajectory-level, and runtime evaluation methods.
Added 7 hours ago
O
Sr. Manager, Product Management
OpenText
Waterloo, ON
- Full-time
Understanding of generative and agentic AI and their application to content creation and business workflows.
Added 7 hours ago
O
Sr. Manager, Product Management
OpenText
Mississauga, ON
- Full-time
Understanding of generative and agentic AI and their application to content creation and business workflows.

K&K Global Talent Solutions INC.

DevOps Platform Engineer | AI & LLMOps Infrastructure

ON, Canada
Ontario, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Experience: Experience: 3–5+ years of hands-on platform engineering, cloud architecture, and CI/CD operations within complex enterprise environments.
Posting language: English
Posted: Oct 9, 2026

Original job description

Position: DevOps Platform Engineer | AI & LLMOps Infrastructure

Location: Onsite- Toronto, ON

Job type: Full-Time/Permanent Hiring

As an Agent & DevOps Platform Engineer, you will design, scale, and secure the foundational infrastructure that powers our next-generation developer platforms and autonomous AI/LLM agent frameworks. This is a highly specialized role bridging the gap between advanced cloud-native Platform Engineering and cutting-edge LLMOps. You will not just build standalone AI applications - you will build the highly automated, multi-account AWS environments, robust CI/CD pipelines, and secure IAM patterns that allow autonomous agents and developers to ship code reliably, securely, and at enterprise scale.

Key Responsibilities

Infrastructure as Code & Automation: Architect, deploy, and manage highly reliable multi-account AWS environments using Terraform, CloudFormation, or AWS CDK.
Agent & Tooling Orchestration: Build, deploy, and scale enterprise developer platforms, integrating agentic orchestration frameworks (e.g., LangChain, LlamaIndex) and custom toolchains into production pipelines.
Bulletproof Identity & Access: Implement advanced AWS IAM architectures under the principle of least privilege, designing secure cross-account access, service-to-service authentication, and Kubernetes service accounts.
Container Platform Engineering: Package and orchestrate distributed container systems using Docker and enterprise container platforms (Amazon EKS, ECS, or Kubernetes), configuring robust networking, ingress, and workload security.
LLMOps & Platform Observability: Build the guardrails for production AI workloads, implementing systems for prompt management, tool execution, model evaluation, observability (CloudWatch), and cost-reliability metrics.
Scale CI/CD & DevSecOps: Treat security as a core software design constraint. Author high-quality reusable pipeline patterns, build automation workflows, and enable decentralized DevOps practices across multiple business units.
System Ownership & Culture: Act as a technical mentor whose coaching is reflected in clean working code, robust pipelines, and reusable modules. Define and solve core platform bottlenecks in ambiguous environments.

Required Qualifications

Experience: 3–5+ years of hands-on platform engineering, cloud architecture, and CI/CD operations within complex enterprise environments.
Programming: Strong proficiency in Python for infrastructure tooling, API integrations, agent services, and advanced production scripting.
Technical Ecosystems: Working competence in at least one additional development ecosystem (e.g., Java, .NET, Node.js, or Groovy).
Cloud Native & Containers: Deep production experience with AWS cloud-native deployments and container orchestration via Docker and Kubernetes / Amazon EKS / ECS.
AWS Security Mastery: Comprehensive knowledge of complex AWS IAM structures, including roles, policies, trust relationships, and secure machine-to-machine authentication.
AI/LLMOps Engineering: Direct experience building, deploying, or scaling AI/LLM-based tools or agents in or near production. Solid understanding of prompt management, tool usage, and agent testing.
Methodology: Strong grasp of Git-based workflows, release management at scale, and an uncompromising DevSecOps approach to system design.

Nice-to-Have Skills

Hands-on usage of advanced AWS ecosystem tools: ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC networking.
Familiarity with Kubernetes internals: Helm, service accounts, ingress controllers, and network policies.
Prior experience working with framework tools like LangChain or LlamaIndex.
Experience driving agile delivery models using Scrum, Kanban, or SAFe across multiple teams.

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More about this job

Responsibilities

Design and operate secure, scalable multi-account AWS infrastructure, container platforms, and reusable CI/CD pipelines for enterprise developer platforms and AI/LLM agents. Implement agent orchestration, production LLMOps guardrails and observability, while mentoring teams and resolving platform bottlenecks.

Requirements

Requires 3–5+ years of platform engineering, cloud architecture, and CI/CD experience, strong Python skills, and production expertise with AWS, containers, Kubernetes, and complex IAM. Candidates must also have direct experience building or scaling AI/LLM tools or agents, plus knowledge of Git-based release workflows and DevSecOps.

Skills

AWS
Terraform
CloudFormation
AWS CDK
Python
CI/CD
DevSecOps
AWS IAM
Docker
Kubernetes
Amazon EKS
Amazon ECS
LLMOps
LangChain
LlamaIndex
CloudWatch

Visa sponsorship

Not detected in the job text

Keywords

Platform Engineering
AWS
Terraform
CloudFormation
AWS CDK
Python
Java
.NET
Node.js
Groovy
CI/CD
DevSecOps
AWS IAM
Cross-Account Access
Docker
Kubernetes
Amazon EKS
Amazon ECS
LLMOps
AI Agents
LangChain
LlamaIndex
Prompt Management
CloudWatch
Amazon ECR
AWS Lambda
Amazon Bedrock
Amazon S3
AWS Secrets Manager
Helm

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