Director, Software Engineering

Equifax•Toronto, ON

13d•Onsite

About The Position

Lead the cultural and technical evolution toward Cloud and AI-first thinking, driving strategy through the AI Center of Excellence. In this influential role, you will manage diverse, cross-functional engineering teams to build robust, scalable, and reusable Data & AI applications. You will be responsible for defining strategic technical direction, mentoring engineers, and ensuring rigorous compliance with secure development guidelines while meeting all critical QE, DevSec, and FinOps KPIs. Success requires strong partnerships with product, D&A, business, and global stakeholders to uphold high engineering standards and drive our business goals.

Requirements

Bachelor's degree or 7-12 years of software engineering experience
Led design and development of solutions using event-driven and RESTFul API architecture
Worked with SREs and dev teams to define and maintain SLA, SLO, SLIs meeting EFX quality engineering standards
Collaborated with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices.
Collaborated with Product with a product mindset
Drove technical documentation including support, end user documentation and runbooks.
Led Sprint planning, Sprint Retrospectives, and other team activity
Managed multiple development squads at a supervisory capacity assuming all HR responsibilities, including hiring & interviews, retention, training, and team capacity planning
Implemented architecture decision making associated with Product features/stories, refactoring work, EOSL decisions, and continuous improvements whilst ensuring EHB guidelines
Created and delivered technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate
Experience of building and managing strong technical teams that deliver complex software solutions that scale
Deep troubleshooting skills with the ability to lead and solve production and customer issues under pressure
Strong experience of full stack software development and public cloud like GCP and AWS is preferred
Agile Engineering Best Practices - Leads delivering software that is flexible and incremental to meet business goals.
Accountable for the delivery of the technology roadmap commitments.
Leads requirements and effectively anticipates dependencies and sequencing of tasks
Engineering Design - Leads the budget and delivery of software from build to operate in production for multiple integrated software services and/or capabilities.
Has good understanding of the overall roadmap value creation of the business domain and subject matter expert for the services and/or capabilities within the role and responsibilities.
Influences the decision making process that sets the direction of the software product roadmap with sponsors, users and developers.
Engineering Requirement Analysis - Leads, influences and owns working with the sponsors and users to drive clarity in requirement gathering.
Ensure software contracts are clearly articulated for service level objectives for a set of services/capabilities within the role and responsibilities.
Idea Creation - Supports creative value ideas and influences with narrative first concept while driving software capabilities innovation with enterprise innovation forums
AI Industry Knowledge - Leads and leverages knowledge of AI industry trends around software engineering design patterns and strategies to implement feasibility proof of value within the roles and responsibilities of the software ecosystem.
Assess technology trends, use knowledge and make recommendations on improving upon the defined expectations of systems availability.
Systems Thinking - Ensures knowledge of best practices and how systems integrate with others to improve their own work and the work of less experienced colleagues.

Nice To Haves

Minimum of 3 years experience leading Cloud deployments and transformation (AWS and / or GCP highly preferred).
Cloud Certification Strongly Preferred.
Proven track record of deploying Agentic AI solutions that deliver measurable business impact at scale.

Responsibilities

Build strong relationships with both internal and external stakeholders including product, business and sales partners.
Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed
Drive the cultural and technical shift toward Cloud & AI-first thinking through AI COE, ensuring you achieve goals through the work of others.
Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters.
Mentor, coach and develop junior and senior software, quality and reliability engineers.
Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices
Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs.
Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams
Partner deeply with D&A and Global Engineering teams to build robust, scalable, and reusable Data & AI platform components.
Drive technical documentation including support, end user documentation and run books.
Lead Sprint planning, Sprint Retrospectives, and other team activity
Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions
Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate
Provides coaching, leadership and talent development; ensures teams functions as a high-performing team; able to identify performance gaps and opportunities for upskilling and transition when necessary.
Drives culture of accountability through actions and stakeholder engagement and expectation management.
Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams.
Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems
Work with a security team to implement AI ethics, security standards, and implementation frameworks to safely deploy Agentic AI models.