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BULL-IT SOLUTIONS LTD

AWS DevOps and AI/LLM Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Experience: 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Posting language: English
Posted: Sep 29, 2026

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Original job description

Required Skillsets:

3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments

Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting

Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js

Hands-on AWS experience designing or operating production workloads

Practical knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, least privilege, and service-to-service authentication

Production experience building and deploying containers with Docker and a container platform such as Kubernetes, Amazon ECS, or Amazon EKS

Experience building or integrating AI/LLM-based tools or agents in production or near-production environments

Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, and reliability

Experience with Git-based workflows, build automation, and release pipelines at scale

Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments

DevSecOps mindset - security is a design constraint, not a checklist item

Good to have skills

Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC

Experience with Terraform, CloudFormation, or AWS CDK

Experience designing multi-account AWS environments and implementing enterprise identity and access patterns

Familiarity with Kubernetes operations, Helm, service accounts, ingress, networking, and workload security

Experience integrating AI into developer platforms or enterprise tooling, rather than only building standalone applications

Prior work on agentic orchestration frameworks such as LangChain, LlamaIndex, or custom toolchains

Experience enabling DevOps practices across multiple teams or business units

Agile delivery experience using Scrum, Kanban, or SAFe

Roles and Responsibilities

You build things and share them - your coaching is your working code, your pipelines, your agents, and your reusable platform patterns

You think in systems: you understand the downstream effects of cloud, identity, container, and automation decisions

You're comfortable in ambiguity and can define the right problem before solving the wrong one

You have strong opinions on automation, reliability, security, IAM, and operational simplicity - and can defend them with evidence

You learn fast, experiment deliberately, and know when to stop experimenting and ship

You understand that secure defaults, clear ownership, and good developer experience are essential to platform adoption

Apply About employer

More about this job

Responsibilities

Build and share reusable platform patterns, pipelines, and AI agents while coaching teams through working implementations. Make evidence-based decisions about cloud, identity, containers, automation, security, reliability, and developer experience, and turn well-defined solutions into production-ready systems.

Requirements

Requires 3–5+ years of enterprise CI/CD, cloud, and platform engineering experience, strong Python skills, hands-on AWS and IAM experience, and production container deployment experience. Candidates should also have experience integrating AI/LLM tools or agents, understand LLMOps, and be familiar with Git workflows, release pipelines, Infrastructure as Code, and secure cloud-native deployments.

Skills

Python
AWS
CI/CD
Platform Engineering
AWS IAM
Docker
Kubernetes
Amazon ECS
Amazon EKS
AI/LLM Tools and Agents
LLMOps
Infrastructure as Code
DevSecOps
Terraform
CloudFormation
Git-Based Workflows

Visa sponsorship

Not detected in the job text

Keywords

AWS
Python
CI/CD
Cloud Engineering
Platform Engineering
AWS IAM
Docker
Kubernetes
Amazon ECS
Amazon EKS
Amazon ECR
AWS Lambda
Amazon Bedrock
Amazon CloudWatch
Amazon S3
AWS Secrets Manager
AWS Systems Manager
Amazon VPC
Infrastructure as Code
Terraform
CloudFormation
AWS CDK
DevSecOps
LLMOps
AI Agents
LangChain
LlamaIndex
Helm
Git
Agile

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