Senior Kubernetes Platform Engineer

CapgeminiToronto, ON
CA$62,874 - CA$147,504Remote

About The Position

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. This role is fully remote, anywhere in the Canada About the job you’re considering As a Kubernetes/DevOps Engineer, you will work on one of the world's largest social media platforms which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.

Requirements

  • Over 5+ years of experience as a Kubernetes/DevOps Engineer specializing in building and operating large-scale, high performance distributed systems backed by a university degree in Computer Science or a related field.
  • Strong experience with Kubernetes and batch schedulers (e.g., Volcano, Kueue) for orchestrating large-scale machine learning workloads.
  • Solid understanding of distributed systems, containerization, and cloud-native architectures. Hands-on experience managing workloads on Kubernetes clusters such as AWS EKS.
  • Proven track record working on infrastructure migrations.
  • Proficiency in Python and Golang.
  • Experience with infrastructure-as-code tools (e.g., Terraform, Helm).
  • Background in observability and monitoring for GPU clusters (e.g., Prometheus, Grafana).
  • Strong problem-solving skills and the ability to operate effectively in a fast-paced, collaborative environment.

Responsibilities

  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, and approves them with all stakeholders.
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Updating and optimizing local and metadata models and responsible for resolving crisis situations within his/her AOR.
  • Understand the business drivers and analytical use-cases and translate these to data products.
  • Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
  • Suggest technical and functional improvements to add value to the product.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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