Cloud Platform Engineer

icon building Company : Mlse
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Cloud Platform Engineer



At Maple Leaf Sports & Entertainment Partnership (MLSE), we are committed to creating an inclusive workplace that is representative of our community and where all employees feel they belong and can reach their full potential. We are Canada’s preeminent leader in delivering top quality sport and entertainment experiences and one of North America’s leading providers of exceptional fan experiences. We are the parent company of the National Hockey League’s Toronto Maple Leafs, the National Basketball Association’s Toronto Raptors, Major League Soccer’s Toronto FC, the Canadian Football League’s Toronto Argonauts and development teams with the Toronto Marlies (American Hockey League), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

MLSE owns and/or operates all the venues our teams play and train in, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. We also provide fans in Toronto with incredible live music and entertainment events, as well as exceptional culinary experiences through our restaurants (e11even and RS) and clubs (Hot Stove Club, ScotiaClub and Platinum Club). Through MLSE Foundation, we have invested more than $45 million into Ontario communities since 2009 and with MLSE LaunchPad, we provide a place where youth facing barriers use sport to recognize and reach their potential.

We achieve all of this through our Common Purpose - to unite and empower our employees to create extraordinary moments for our fans and each other. Come be a part of the team.

Job Description



MLSE is seeking a Cloud Platform Engineer to join our group. Working closely with development and product teams, the successful candidate will be responsible for building and operating MLSE cloud platforms and services using AWS, Microsoft Azure and data center technologies.

  • Build and operate MLSE’s cloud platform and services across AWS, Microsoft Azure and on-premises technologies to deliver highly available infrastructure and services to support internal development teams.
  • Apply SRE concepts to provide highly available services leveraging automation to ensure the team and platform can scale to meet incoming demand.
  • Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
  • Work with operations and development teams to ensure efficient service delivery.
  • Establish design patterns, artifacts, and processes to facilitate delivery of infrastructure and services in alignment with organization's business needs.
  • Provide guidance to cross-functional technology teams on the use of technologies and processes. Drive knowledge transfer of design patterns, technical practices and tools.
  • Participate in an on-call schedule and act as an escalation point for incidents.

Qualifications



Note: Before reviewing the

qualifications

listed below, we want you to know that we understand you may not meet all the

qualifications

described and have other relevant expertise and experience. We invite you to please share this with us in the "Message to the Hiring Manager" section of our online application.

  • Extensive experience with AWS platform and services, and any enterprise Kubernetes platform.
  • 5+ years of experience in an operational role e.g., DevOps Engineer, SRE, or Software Engineer where you supported applications, infrastructure or services in production.
  • Infrastructure automation experience using Terraform and Ansible. Demonstrated knowledge of cloud-native engineering, automation, and the use of CI/CD pipelines through referenceable projects.
  • Experience with tools such as Helm, Terraform and ArgoCD for declarative management of Kubernetes objects and resources.
  • Experience with SCM tools such as GitHub.
  • Experience with monitoring tools such as Prometheus, Grafana and Datadog.

Additional Information



Apply by: June 27th, 2024

We thank all applicants for their interest, however, only those selected for an interview will be contacted. 

At MLSE, we are committed to building an equitable, diverse and inclusive organization.

We are an equal opportunity employer and we do not discriminate on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email . Please note this email is only for accommodation requests. Resumes sent to this email address will not be considered. 

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