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Publié il y a 18 jours

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

@ Astra North Infoteck Inc.

Toutes ses offres

Toronto, Ontario

Contrat3+ ans d’expérience
Postuler
SIGNAUX

En bref

Astra North Infoteck Inc. is hiring a contract Cloud Platform Engineer to build and operate AWS-based CI/CD, platform tooling and AI/LLM agent services. The work centres on Python automation, containers on Kubernetes, ECS or EKS, IAM, and Infrastructure as Code, with a DevSecOps approach. The posting asks for 3 to 5+ years of enterprise cloud and platform engineering experience.

Responsabilités :

  • Build reusable CI/CD pipelines, agents and platform patterns
  • Design and operate production AWS workloads
  • Coach teams on DevOps and platform adoption
  • Define and resolve platform problems with clear ownership

Résumé des exigences :

  • 3–5+ years of CI/CD and cloud platform engineering
  • Strong Python for automation and infrastructure tooling
  • Production AWS and IAM experience
  • Docker and Kubernetes, ECS or EKS deployment experience
  • AI/LLM tools or agents in production or near-production

Outils et compétences

AWSPythonDockerKubernetesAmazon EKSAmazon ECSTerraformAWS CloudFormationGitHelm
Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-10-19
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-20

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience3 an(s) et plus
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Astra North Infoteck Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy426
Description

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.


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