Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Astra-North Infoteck Inc. is seeking a Cloud Platform Engineer in Toronto to drive CI/CD, cloud, and platform engineering across enterprise environments. You will leverage AWS, Python, DevOps practices, and AI/LLM integrations to design scalable, secure, and observable production workloads.

Required are 3–5+ years in similar roles, strong AWS IAM knowledge, Docker/Kubernetes, and IaC expertise. The role emphasizes collaboration, reliability, and secure defaults within a fast-paced team.

Qualifications

• 3–5+ years hands-on CI/CD, cloud, and platform engineering in enterprise environments.
• Strong Python for automation, API integrations, and production scripting.
• Experience with at least one other language/ecosystem (Java, .NET, Groovy, Node.js).
• Hands-on AWS experience designing or operating production workloads.
• Knowledge of AWS IAM, roles, policies, cross-account access, least privilege.
• Experience building/deploying containers with Docker and Kubernetes/ECS/EKS.
• Experience with AI/LLM-based tools in production or near-prod environments.
• Strong understanding of LLMOps: prompts, tools, agents, observability.
• Experience with Git workflows, build automation, release pipelines at scale.
• IaC/configuration management and cloud-native deployments.
• DevSecOps mindset: security as a design constraint.

Responsibilities

• Builds and shares reusable platform patterns and pipelines.
• Considers downstream effects of cloud, identity, container, and automation decisions.
• Works well in ambiguity and defines the right problem before solving it.
• Champions automation, reliability, security, IAM, and operational simplicity.
• Learns fast, experiments deliberately, ships when ready.
• Ensures secure defaults and strong developer experience to drive platform adoption.

Skills

CI/CD & cloud platform engineering

Python automation

Additional language ecosystem (Java/.N

Tools

Docker

Kubernetes

AWS ECS

AWS EKS

Terraform

CloudFormation

AWS CDK

Helm

LangChain

LlamaIndex

Git

Bedrock

S3

Job description

Required Skillsets:

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

Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM

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.