Location Address: Toronto – Hybrid model (2-3 days a week in office)
Contract Duration: 3 months – possible extension for 6 months till end of the project
Possibility of extension & conversion to FTE – Depending on performance
Number of Positions: 1
Schedule Hours: 9am-5pm Monday-Friday (No overtime)
Reason: Extra support
Story Behind the Need
Business group: Platform and Data operations
In partnership with the Customer Insights Data and Analytics teams and our IT partners the Data and Analytics Technology team supports the bank's Data and Analytics needs with tooling, projects, and IT operational support.
The Cloud Engineer role will be responsible for the Platform designing, building, monitoring, tuning, and troubleshooting bank-wide initiatives supported by Data and Analytics Technology. This consists of platform building, tooling, integration, process automation, platform enhancement, and delivery of new projects.
Candidate Value Proposition:
The successful candidate will have the opportunity to work on a highly visible project, opening up doors of opportunities within the organization.
Typical Day in Role:
• Manage GCP Cloud Infrastructure: Design, build, and implement solutions around standard public cloud services like, Google Cloud Storage, Bigquery, Dataproc, Vertex AI Notebooks, Cloud Run and Cloud Functions among others, Using Terraform Modules.
• Release Control Management: Maintain and enhance the Release Control Management pipeline using Terraform, Cloud build and GitHub Actions and Bitbucket/GitHub repositories.
• Client Pipeline Management: Implement CI/CD process by designing industry standard Cloud Build for deploying Infrastructure and analytics workloads using Terraform, Docker, Cloud build, GitHub Actions, Artifact registry and other build / deployment activities
• Credential Security: Setup Hashicorp Vault and Secret Manager for secret management. Integrate security solutions with client interfaces
• Client User Acceptance Testing: Lead clients in user acceptance testing for component and base image upgrades, ensuring smooth transitions and minimal disruptions.
• Advanced Monitoring and Troubleshooting: Troubleshoot and resolve performance issues to ensure optimal system performance.
• Vendor and Technical Support Interaction: Regularly meet with product vendors and technical support to fine-tune and troubleshoot software components, ensuring the highest level of system performance and reliability.
• Client Support: Assist tenants with troubleshooting their issues related to GCP and its services
• Mentorship: Mentor junior engineers in best practices for building, deploying, testing, and supporting services, fostering a culture of continuous learning and improvement.
•Provision, configure, and manage Hadoop clusters within the Dataproc environment.
•Optimize Dataproc cluster configurations for performance, cost-efficiency, and stability.
Candidate Requirements/Must Have Skills:
• 5+ years of experience in managing a public cloud platform for an enterprise on GCP, Azure or AWS with technical expertise in Foundational and Data services
• 3+ years of experience in using Infrastructure as Code tooling Like Terraform to manage large-scale infrastructure platforms with strong knowledge of best practices for access control and least-privilege policy
• 5+ years of experience in DevOps, building CI/CD pipelines using GitHub, Artifactory etc. to reduce cycle times and ensure quality.
• 10+ years of IT experience in managing and developing applications or platforms ensuring scalability, reliability, and security.
• 2+ years of experience in public cloud-managed services for Data and Analytics for data warehousing, data lakes, ETL services, machine learning or data governance and security
• 5+ years of experience in Languages like Python, Go, or Java & scripting skills in (shell scripting, Python, Perl, Ansible) to automate tasks, create scripts, and develop infrastructure as code.
Nice-To-Have Skills:
•Experience in managing and administering Hadoop clusters (e.g. Cloudera, Dataproc, Hortonworks). strong understanding of Hadoop ecosystem and its core components
• Certification in GCP (GCP Cloud Associate) is desirable.
• Experience with Docker/Container – including setting up and managing Docker registries as well as creating Docker files to create custom images. Should know about overlay networking needed for inter-container communications from different nodes as well as external servers/infrastructure
• Experience in setting up Kubernetes or similar platforms on-premises/cloud (On-prem Rancher experience is a plus)
Soft Skills Required:
• Authentic, decisive, resilient, highly collaborative, curious and results-oriented
• Superior writing, research, presentation, and project management skills.
• Strong problem solver who supports the team to navigate challenges and/or asks for help from above when needed.
• Superior writing, communication, interpersonal, and project management skills.
• Team player with effective communication skills (verbal and written)
• Able to see tasks through to completion without significant guidance
• Self-managed and results-oriented with sense of ownership is required
Education & Certificates:
• A university degree in Mathematics, Science, Engineering, Management or relevant.
Best VS. Average Candidate:
The best candidate is someone hands-on experience with Terraform, and implamanttion using AWS, Azure, or GCP preferable. Someone who is thorough and knowledgeable, a self-starter, takes pride in their work, and is a hard worker.
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Candidate Review & Selection
2 Rounds of interviews
1st round with the Technical team – Video call Ms teams 1 hour – Talk about work experience and get to know (no technical assessments or business case required)
2nd round – Hiring manager and Director – Video call Ms teams 30 mins- Talk about experience and behavioral questions.