Sr. Platform Engineer

Overview

• Job Title: Sr. Platform Engineering
• Location: Hybrid – Toronto; open to remote for very strong candidates
• Target start date: July
• Duration: 6 months
• Possibility of extension & conversion to FTE: yes
• Number of Positions: 1
• Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
• Reason: Additional Workload

Story Behind the Need

• Business group: Detail LOB & team’s purpose at the bank – GWAM LOB & platform engineering team working on building Data & AI platforms catering to projects driving business requirements.
• Project: Detail key projects – This specific project includes building Data & AI platforms in Azure cloud infrastructure using DevOps & IaC tools. Building AIOps capabilities using tools like Log analytics workspaces & Moogsoft.

Candidate Value Proposition

• The successful candidate will have the opportunity to work in a high performing and team building environment. This candidate will have the opportunity to learn and contribute to latest tech stack including data /AI / GenAI stacks etc.,

Typical Day in Role

• Build platforms using pre-defined modules of IaC and Devops tools
• Respond to production issues
• Build platforms required for AIops capabilities
• Schedule meetings with stakeholders, security, risk and architecture teams to build the required outcome/products with all risk/security guardrails.
• Manage JIRA tasks and participate in daily and weekly team standups.

Candidate Requirements / Must Have Skills

• Terraform - 7+ years of experience. hands-on experience required.
• Jenkins & Groovy scripting - 5+ Years of experience
• Azure cloud infrastructure deployment and management – 7 + years
• Databricks or other Datalake /lakehouse platform build and administration experience – 3 + years.
• APIM /APIOps – 5 + years of experience

Nice-To-Have Skills

• AI/ GenAI stack – build and Ops management
• Experience working in/with Data & Analytics projects.
• Platform Automation experience using Python or other scripting /tool experiences.
• Soft skills – good communication and documentation skills.

Education

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• Certifications

Best vs. Average

Solid in technical skills. Require candidates to be open-minded to learning new technology, strong team player and drive outcomes/value based works within time and resources provided.

Candidate Review & Selection

• # Step Process: 2 rounds – technical round (hard skill evaluations) and Manager discussion /soft skill round.

Additional Notes

• Any additional details to share with Suppliers (i.e. team/cultural fit, professional background preference, etc.)

Team player and highly independent at work – ensuring he/she is able to pick the knowledge and be able to contribute to time-bound projects.

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