Reliable Systems Architect

Há 3 dias

Brasil beBeeEngineer Tempo inteiro CA$103.530 - CA$140.451
Site Reliability Engineer Role

We are seeking an experienced Site Reliability Engineer to join our team. As a Site Reliability Engineer, you will be responsible for designing and implementing comprehensive infrastructure strategies that emphasize reliability, flexibility, and security.

Your key responsibilities will include:

  • Developing and implementing scalable and secure cloud-native environments, including Kubernetes clusters and container orchestration.
  • Managing and deploying infrastructure tools, including monitoring solutions using OpenTSDB, Prometheus, Grafana, and Envoy.
  • Designing and monitoring CI/CD pipelines to streamline deployment processes using tools like Spinnaker.
  • Providing leadership and direction to the infrastructure team, fostering a culture of continuous learning and improvement.

You will work closely with senior members of our team to combine your strong understanding of system scaling and security practices with your cloud-native expertise to stand up and maintain Kubernetes clusters from scratch.

This is an exciting opportunity to contribute to the development of robust and scalable systems, and to lead initiatives on stateless architectures to enhance scalability and maintainability of our systems.

In addition to your technical skills, you will need to have excellent communication skills with the ability to engage and influence both technical and non-technical stakeholders.

Requirements
  • Relevant industry experience, specifically in Site Reliability Engineering or a similar role, with a proven track record in technical leadership and setting the direction for scalable systems.
  • Strong background in managing and deploying infrastructure in cloud-native environments (AWS and GCP).
  • Experience with container orchestration (Docker, Kubernetes), and infrastructure as code (Terraform, Pulumi).
  • Experience with monitoring and logging tools, and a solid understanding of network metrics.
  • Familiarity with Linux skills and excellent problem-solving, debugging, and troubleshooting skills.
  • Proficiency in system design and a solid understanding of distributed systems, DevOps tools and practices, particularly in developing and maintaining CI/CD systems for fully automated deployment, testing, and monitoring of applications.
  • Familiarity with MLOps practices, including automation and orchestration of machine learning models.
  • Experience with database technologies and designing infrastructure to support both traditional and AI-driven applications.
  • Excellent communication skills with the ability to engage and influence both technical and non-technical stakeholders.
About Us

We believe people from diverse backgrounds, with different identities and experiences, make our company better. No matter your background, we'd love to hear from you. Alignment with our values is just as important as experience. Also, please let us know if there are ways we can make our interview process better for you - we're always happy to listen and accommodate where possible.

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