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Viva Tech Solutions

Platform Engineer

  • Toronto, ON, Canada

Contract

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The original listing is kept below for reference.

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Job details

Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

  • Hands-on CICD| 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 deployment
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More about this job

Responsibilities

Build and operate enterprise cloud and platform engineering solutions, including production AWS workloads, CI/CD pipelines, container deployments, and infrastructure automation. Develop or integrate AI/LLM-based tools and agents, with attention to LLMOps, observability, evaluation, and reliability.

Requirements

Requires hands-on platform and CI/CD experience, strong Python skills, experience with another language or ecosystem, and practical AWS and IAM expertise. Candidates should also have production container experience, Git-based release workflows, Infrastructure as Code, and experience building or integrating AI/LLM tools or agents.

Skills

  • CI/CD
  • Python
  • API Integration
  • Automation
  • AWS
  • AWS IAM
  • Docker
  • Kubernetes
  • Amazon ECS
  • Amazon EKS
  • AI/LLM Tools
  • LLMOps
  • Git
  • Infrastructure as Code
  • Configuration Management
  • Cloud-Native Deployment

Visa sponsorship

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Categories

  • Technology
  • Software
  • Engineering

Keywords

  • CI/CD
  • Cloud Engineering
  • Platform Engineering
  • Python
  • Java
  • .NET
  • Groovy
  • Node.js
  • AWS
  • AWS IAM
  • Roles and Policies
  • Trust Relationships
  • Cross-Account Access
  • Least Privilege
  • Service-to-Service Authentication
  • Docker
  • Kubernetes
  • Amazon ECS
  • Amazon EKS
  • AI/LLM Tools
  • LLMOps
  • Prompt Management
  • Tool Use
  • Agent Architectures
  • Evaluation
  • Observability
  • Reliability
  • Git-Based Workflows
  • Infrastructure as Code
  • Configuration Management

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