Senior Devops Engineer- Azure

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

Summary

The Data Platform Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical subject matter expertise, you will have the exciting opportunity to design, adapt, and maintain data platform solutions within a cloud environment. You will navigate and reconcile considerations for immediate and future platform needs, encompassing but not limited to scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness, even in situations where the requirements may be unclear or evolving. You’ll collaborate cross-functionally with Product Owners as well as developers, quality assurance, governance & support experts in Toronto and other offices. In this role, you will be part of an on-call rotation in order to service our customers.

Essential Functions

• Design and build highly scalable data platform solutions within a cloud environment.
• Partner with our internal customers to understand their development pain points and craft platform solutions to address them.
• Support the effort to build and enhance DevOps services, including platform monitoring, platform, and deployment support for the respective pipelines for data delivery.
• Connectivity enablement for relevant models and their data sources.
• Deliver appropriate Resource Access Permissions for respective use cases.
• Provide technical mentorship to data platform engineers and interns on the team.
• Help shape the long-term strategy and grow the team.
• Provide Operational Support.
  
  

Experience

• 5+ years of experience building production data systems or platform components.
• Strong coding skills in Python
• Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation.
• Experience operating Microsoft Azure platform
• Experience with data services on Microsoft Azure
• Strong experience on Azure Data Factory, Databricks administration and GitLab.
• Experience with distributed storage technologies such as NFS, HDFS, as well as dynamic resource management frameworks (Apache, Kubernetes).
• Experience managing the entire machine learning lifecycle.
• Desirable experience on Azure Cognitive Services.
  
  

We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

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