Lead Platform Engineer at TD Securities, developing a high performing Trading Risk Warehouse platform. Responsible for ensuring stability and scalability, while managing underlying infrastructure and supporting development teams.
About the role
- Lead Engineer responsible for overseeing AI Platform Engineering and SDLC frameworks at Grantek. Manage development toolchains and implement automation solutions while mentoring teams.
Responsibilities
- Define, implement, and maintain standardized SDLC and DevSecOps frameworks across engineering and software development teams
- Govern and continuously improve enterprise development toolchains, including GitHub Enterprise, CI/CD pipelines, and Infrastructure-as-Code platforms such as Terraform and Pulumi
- Design, build, and maintain reusable AI code libraries and modular components to accelerate software delivery
- Embed security, compliance, and quality controls throughout the development lifecycle using automated testing, code reviews, and version control practices
- Partner with IT and Digital Enablement teams to align infrastructure, licensing, and cybersecurity standards with platform requirements
- Develop and maintain documentation, training materials, and enablement programs to support adoption across teams
- Collaborate with project managers, consulting leaders, and delivery teams to align platform standards with project execution
- Track and report key performance indicators related to platform adoption, deployment velocity, code reuse, and compliance
- Lead continuous improvement initiatives to enhance scalability, reliability, and engineering efficiency
- Research and evaluate emerging technologies, including AI-assisted development tools and automation frameworks
- Mentor and guide technical staff within platform engineering
Requirements
- Senior-level experience in platform engineering, DevOps, or software engineering leadership roles
- Proven experience implementing enterprise-grade SDLC and DevSecOps governance frameworks
- Strong expertise in CI/CD pipelines, Infrastructure-as-Code, and automation practices
- Hands-on experience with GitHub Enterprise, automated testing, and deployment workflows
- Experience with containerization, virtualization, and environment orchestration
- Strong understanding of cybersecurity best practices, compliance requirements, and secure software development
- Experience managing version control, licensing compliance, and intellectual property protection
- Familiarity with AI-assisted development tools such as GitHub Copilot or similar platforms
Benefits
- competitive and comprehensive compensation package
- retirement plan
- company paid benefits
- flexible work hours
- education/career development program
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