Staff Software Engineer

Equifax•Toronto, ON

33d•Onsite

About The Position

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

Requirements

Bachelor's degree or equivalent experience
7+ years of software engineering experience
7+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS
7+ years experience with Cloud technology: GCP, AWS, or Azure
7+ years experience designing and developing cloud-native solutions
7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes
7+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs
Proficiency in utilizing AI-powered development tools (GitHub Copilot , Claude Code)

Nice To Haves

Cloud Certification strongly preferred
Experience creating and maintaining product and software roadmaps
Experience overseeing yearly as well as product/project budgets
Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
Experience Running large scale Cloud Optimization projects.

Responsibilities

Lead the Architecture design and development of complex, scalable and resilient full-stack applications, with a primary focus on Java, Spring Boot, and modern front-end frameworks.
Remain hands-on and contribute to the development of complex features, back-end services, and APIs, setting a high standard for the team.
Utilize AI-powered development tools like GitHub Copilot, Claude Code to accelerate the software development lifecycle.
Standardize the way software developers build applications using AI through well defined Agents and Skills.
Demonstrate a deep understanding of cloud native, distributed micro service based architectures.
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.
Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices.
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.
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.
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.
Perform R&D, prototyping/PoC of cloud-native solutions.
Design and develop cloud-native solutions.
Design and development of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
Design and development of micro services using Java, Springboot, GCP SDKs, GKE/Kubeneties.
Deploy and release software using GitHub Actions, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs.