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

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; Presencial; CAD 110 000 - 150 000; Tempo integral

Resumo da oferta

Astra-North Infoteck Inc. is seeking a Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM to design, build, and operate scalable cloud workloads in enterprise environments.

You will contribute hands-on across CI/CD, infrastructure tooling, and production scripting, ensuring reliable, secure platforms that teams can extend. You will collaborate on multi-account AWS designs, IAM patterns, Docker/Kubernetes deployments (ECS/EKS), and integrate AI/LLM tooling.

Qualificações

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

Responsabilidades

• Build reusable platform patterns and pipelines; coach via code.

Conhecimentos

CI/CD & Cloud

Python automation

Java/.NET/Node

AWS

IAM

Docker/Kubernetes

LLMOps

Git CI

IaC

DevSecOps

Agile

Ferramentas

Docker/Kubernetes

AWS ECS/EKS

Terraform/CloudFormation/CDK

Descrição da oferta de emprego

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.