Equifax Inc. Logo

Equifax Inc.

Sr. Software Engineer

Posted 18 Days Ago
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design, build, and validate scalable, AI-driven data analytics solutions on Google Cloud. Implement LLM-augmented features and agentic frameworks, develop backend services, optimize performance, ensure security and operational excellence, and support lifecycle maintenance across microservices and serverless architectures.
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Synopsis of the role

We are looking for a Sr. Software Engineer to work with new cloud technologies on a Data Analytics and validation platform that will be processing data from all major companies in Canada. You’ll be working with a team to develop new solutions and enhancements in order to process large volumes of financial data that will be used to deliver several products to our clients. You will be working with many cloud based technologies and that will require highly variable problem solving.

What you’ll do

  • Architect and oversee the deployment of scalable AI-driven applications, ensuring robust backend logic, stringent security protocols, and operational excellence.

  • Leverage advanced agentic coding methodologies to engineer AI-augmented features and perform automated, Large Language Model (LLM)-based refactoring of legacy systems.

  • Contribute to strategic technology roadmap initiatives by translating complex business requirements into autonomous, functional technical solutions.

  • Execute high-quality code development, debugging, and troubleshooting using open-source AI technologies to maintain a high-performance Data Analytics platform.

  • Utilize cloud-native technologies to design and implement resilient enterprise solutions.

  • Elicit, analyze, and refine technical requirements through collaboration with cross-functional teams.

  • Proactively identify and remediate system impediments while managing priority-based delivery.

  • Conduct rigorous system validation and provide sustained lifecycle support for core applications.

  • Analyze and resolve complex performance bottlenecks to optimize system efficiency.

  • Produce comprehensive technical documentation to facilitate seamless knowledge transfer and collaborative development.

  • Liaise with internal stakeholders to integrate proprietary systems with broader enterprise architectures.

  • Triage and resolve critical product issues by performing root-cause analysis and assessing service quality impact.

  • Engineer and manage high-concurrency applications across the entire software development lifecycle.

  • Implement modern software engineering paradigms, including serverless computing, microservices, and Infrastructure as Code (IaC).

  • Engage in technical roadmap planning and architectural reviews within a globally distributed engineering environment.

  • Research and develop innovative software applications to enhance Equifax solutions while managing individual project deliverables.

  • Address data scalability challenges and participate actively in Agile ceremonies, including Sprint Planning and Retrospectives.

What experience you need  
  • Bachelor's degree or equivalent experience

  • 5+ years experience working in Java and Python

  • Experience working with Agentic Frameworks.  (e.g., ADK, LangChain, LangGraph).

  • 5+ years experience of working with APIs. Experience building and consuming RESTful APIs (assistants interacting with software).

  • GenAI Fundamentals: Understanding of how LLMs work, including Context Engineering.

  • 5+ years with SQL and postgreSQL

  • 5+ years experience with software build management tools like Maven or Gradle and backend technologies such as JAVA/J2EE, SpringBoot and Microservices

  • 5+ years experience with software testing, performance, and quality engineering techniques and strategies

  • 3+ years experience with Cloud technology: Google Cloud Platform

  • Source code control management systems (e.g. Github copilot, Gemini CLI) 

What could set you apart

  • AI Evaluation: Experience building automated test suites and AI assisted code refactoring

  • Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.

  • Self-starter that identifies/responds to priority shifts with minimal supervision

  • Professional certification in Cloud or AI/ML technologies is highly desirable.Experience designing and developing  big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others

  • UI development (e.g. HTML, JavaScript, Angular and Bootstrap)

  • Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices 

This is an existing position

Primary Location:

CAN-Toronto-5700 Yonge

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

Equifax Inc. Toronto, Ontario, CAN Office

Toronto, Canada

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