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Senior DevOps Engineer

Senior DevOps Engineer

Medical AI System
Location
Toronto, Canada
Area
DevOps/Cloud/Systems
Tech Level
Senior
Tech Stack
GCP, Jenkins, Terraform
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About the Client

Our customer's envision a world where everyone gets the healthcare they need. Yet, millions remain undiagnosed and untreated due to the complexity of identifying rare and underrecognized conditions, even when effective treatments exist

Powered by leading AI and built by a team of physicians and clinical scientists, the customer helps people get answers faster, identifying those at risk and guiding them to the right care. Every successful journey makes us smarter and able to help more people.

If you’re passionate about transforming healthcare and ensuring no one goes undiagnosed, join us and be part of what’s next.

Project details

We are seeking a Senior DevOps Engineer to join our Infrastructure team.  Reporting into our Head of Infrastructure, you will work on different topics to help people/teams to proactively improve the ability to deliver, maintain and support products related to infrastructure, such as: Kubernetes clusters, databases, cache stores, buckets, CDN etc.

Your Team

Infrastructure team

What's in it for you

  • Interview process that respects people and their time
  • Professional and open IT community
  • Internal meet-ups and resources for knowledge sharing
  • Time for recovery and relaxation
  • Bright online and offline events
  • Opportunity to become part of our internal volunteer community

Responsibilities

Extend and improve our container-based infrastructure, running in Kubernetes and continue to automate away manual processes.
Partner with your colleagues from engineering to embrace the idea of self-service tooling, making the best way the easiest way.
Contribute to resilient CI/CD pipelines/processes to make sure that our engineering team is able to deploy features faster while being compliant to regulations.
You’ll enable a high quality and fast IT environment for services and resources for engineering and/or data teams to run their Java, Kotlin and Python services, backed by MongoDB, Redis and/or PostgreSQL within Kubernetes clusters.
Extend and maintain our automated monitoring and alerting systems.
Train Developers on Infrastructure and Automation topics.

Skills

  • A strong background in automated provisioning of Google Cloud Platform environments is essential, ideally you will also have experience with Azure.
  • Extensive experience with Kubernetes, Istio, Helm and cert-manager - these are all essential.
  • Proven experience in distributed systems debugging.
  • A deep understanding of the intrinsic link between infrastructure and the software delivery lifecycle, while maintaining a system thinking view of the business.
  • An automation-first, AI-aware approach to operating and scaling systems.
  • Focus on Security Engineering and InfoSec.
  • Prior experience with GCP, Jenkins, Honeycomb, Sumologic, Cloudflare, AWS Docker, Terraform and mTLS systems would be beneficial.
  • An awareness of ISO 27001, HIPPA, GDPR and MDR would be ideal.
  • You understand the importance of distributed tracing and systems thinking expressed in metrics, visualized through graphics to make meaning intuitive.
  • You have expertise in agile environments (Scrum or Kanban) as well as in following principles in continuous delivery.
Recruiter Marina Yakushenko
Your personal recruiter
Marina Yakushenko

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