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Senior Site Reliability Engineer (Kubernetes

Job in Calgary, Alberta, D3J, Canada
Listing for: Doist
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Senior Site Reliability Engineer (Kubernetes)

We are looking for a highly experienced and driven Senior Site Reliability Engineer to join our forward-thinking cloud development and operations team. In this role, you will contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem including Kubernetes, running on cutting-edge hardware from leading vendors. This role focuses mainly on deploying AI infrastructure built on NVIDIA-certified hardware, following architecture and implementation designs produced by our engineering team.

You will play a pivotal role in ensuring the reliability, security, and performance of container infrastructure, while mentoring team members and Mirantis customers to deliver high-quality software and services. As a senior engineer, you will work closely with stakeholders to define technical strategies, solve complex challenges, and ensure the seamless integration of cloud and software services. This is an excellent opportunity to make a significant impact while driving innovation in a rapidly evolving cloud ecosystem.

Main Responsibilities:
  • Work with geographically distributed international teams on technical challenges and process improvements.
  • Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software.
  • Collaborate with stakeholders to gather and refine technical requirements.
  • Optimize system performance, reliability, and scalability.
  • Troubleshoot, debug, and resolve complex technical issues.
  • Participate in code reviews to maintain high quality standards.
  • Stay up to date with industry trends and best practices in cloud operations and development.
  • Design and implement AI-driven automation across the Dev Ops lifecycle, including code development and maintenance.
  • Facilitate knowledge transfer to customers during the delivery phases.
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Position Requirements
10+ Years work experience
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