Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM
Builds and operates enterprise cloud platform infrastructure on AWS — CI/CD pipelines, Python automation, Docker/Kubernetes containers, and IAM-driven security — while integrating AI/LLM tools and agents into developer platforms. Day-to-day spans platform engineering, LLMOps, and coaching other teams via reusable patterns.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
- Strong Python proficiency 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: roles, policies, trust relationships, cross-account access, least privilege, service-to-service authentication
- Production experience building and deploying containers with Docker and a container platform such as Kubernetes, ECS, or 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, 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 as a design constraint
Nice to have
- 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 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
- 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
Full 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.