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Sowelo Consulting sp. z o.o.

Platform Engineer - Hybrid Work

Reposted 3 Days Ago
Be an Early Applicant
Hybrid
Toronto, ON, CAN
Junior
Hybrid
Toronto, ON, CAN
Junior
Build and maintain highly available container orchestration platforms and CI/CD pipelines, enhance monitoring and observability, automate failure prevention and recovery, integrate and govern AI developer tools and agent infrastructure, collaborate with engineering and product teams, and provide documentation and architecture guidance.
The summary above was generated by AI

Do you know how to build bridges between IT Ops, QA and Development?

Can you easily move between the areas of the software lifecycle?

 

So please, take a few minutes and read your potential new job

 

You could join a global retail network that optimizes supply chains through innovative cloud technology, expert support, and data-driven partnerships. 

You would join a team responsible for delivering highly available platform services and deployment automation that empower product engineering teams with secure, reliable, and cost-effective solutions, all while enabling faster product development.

You will leverage automation and advanced technologies to effectively manage complex failures and collaborates with various engineering groups to address potential risks at their source

 

The annual salary for this position ranges from $83,000 to $102,000. The specific salary offered will depend on the factors outlined below and may fall anywhere within this range.

 

Your Tasks will include:

  • Design, implement, and maintain secure, highly available, and cost-efficient container orchestration platforms, including Kubernetes and ECS. 
  • Develop and optimize Continuous Integration and Continuous Delivery (CI/CD) pipelines to streamline and enhance deployment processes, enabling high efficiency for Product Engineering teams. 
  • Build and refine tools and patterns for monitoring and observability to strengthen failure detection, response, and recovery capabilities. 
  • Collaborate with Technology Engineering, Development, and Product Management teams to scale, improve, and support production systems and services. 
  • Partner with service teams to provide comprehensive documentation, knowledge sharing, architecture planning, capacity assessments, and recommendations for future optimizations. 
  • Engineer solutions aimed at failure prevention and minimizing the likelihood of system issues. 
  • Write clean, maintainable code, develop thorough test plans, and assess code quality while providing constructive feedback during code reviews.
  • Design and operationalize AI agent infrastructure: Deploy and manage orchestration frameworks (e.g., LangChain, AutoGen) on enterprise platform infrastructure to automate complex, multi-step workflows—including self-healing pipelines, infrastructure drift detection, and automated on-call triage running on Kubernetes.
  • Integrate AI coding assistants into platform engineering: Evaluate, configure, and govern AI-powered development tools (e.g., GitHub Copilot, Claude) to ensure secure, seamless integration within CI/CD pipelines, code review processes, and Infrastructure-as-Code (IaC) toolchains like Terraform and CloudFormation.
 

To be a good fit for the Platform Engineer opportunity, you will have:

  • Minimum of 2 years experience in a Platforom Engineer or similar role
  • Proficiency in Python and/or Golang with a strong software engineering mindset 
  • Experience managing and administering Linux systems 
  • Experience with Docker and Kubernetes
  • Experience with AWS (EC2, RDS, Dynamo DB, Route53, Elastic Load Balancers, AMIs, IAM Roles, Ops Works, and Cloud Formation)
  • Knowledge of or experience building CI/CD pipelines
  • Experience with infrastructure as code concepts such as immutable and scalable infrastructure 
  • Solid understanding of networking systems as well as identity and authorization mechanisms 
  • Experience with using AI coding tools (GitHub, Copilot, Claude) to help Platform Engineering workflows 
  • Understanding of Agentic AI and MCP Servers 
 

Keys to success:

  • You have technical curiosity and able to take the initiative, contribute and propose new ideas
  • Team working mindset is also important as you will be collaborating with colleagues from other departments

Reasons to join:

  • Work in a collaborative environment with strong ambitions and goals
  • Help evolve the company
  • Global environment in an expanding team
  • Hybrid work model 

Sounds interesting? Send us your CV by applying to this page

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