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Platform Engineer

  • Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Experience
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”

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More about this job

Responsibilities

Build and share reusable platform capabilities, including code, pipelines, AI agents, and platform patterns, while coaching teams through practical implementation. Make evidence-based decisions about cloud, identity, containers, automation, security, reliability, and developer experience, and deliver secure, maintainable solutions.

Requirements

Requires 3–5+ years of enterprise CI/CD, cloud, and platform engineering experience, strong Python skills, hands-on AWS and IAM experience, and production container deployment experience. Candidates should also have experience with AI/LLM tools or agents, LLMOps, Git-based automation and release pipelines, Infrastructure as Code, and a security-focused approach.

Skills

  • Python
  • AWS
  • AWS IAM
  • CI/CD
  • Docker
  • Kubernetes
  • Amazon ECS
  • Amazon EKS
  • Infrastructure As Code
  • Terraform
  • CloudFormation
  • LLMOps
  • AI Agents
  • DevSecOps
  • Git-Based Workflows
  • Release Pipelines

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Security & Safety

Keywords

  • Platform Engineering
  • CI/CD
  • Python
  • Java
  • .NET
  • Groovy
  • Node.js
  • AWS
  • AWS IAM
  • Docker
  • Kubernetes
  • Amazon ECS
  • Amazon EKS
  • Amazon ECR
  • AWS Lambda
  • Amazon Bedrock
  • CloudWatch
  • Amazon S3
  • AWS Secrets Manager
  • AWS Systems Manager
  • Amazon VPC
  • Infrastructure As Code
  • Terraform
  • CloudFormation
  • AWS CDK
  • LLMOps
  • LangChain
  • LlamaIndex
  • DevSecOps
  • Agile

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