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About the Role

We are seeking a Sr. Software Engineer to work with new cloud technologies on a Data Analytics and validation platform processing data from major Canadian companies. You will develop new solutions and enhancements to process large volumes of financial data for client-facing products, utilizing cloud-based technologies and requiring highly variable problem-solving.

Responsibilities

• 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.

Requirements

• 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
• 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
• 5+ years experience with 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)

Skills

• Java
• Python
• Agentic Frameworks
• APIs
• RESTful APIs
• GenAI Fundamentals
• LLMs
• Context Engineering
• SQL
• PostgreSQL
• Maven
• Gradle
• JAVA/J2EE
• SpringBoot
• Microservices
• Software Testing
• Performance Engineering
• Quality Engineering
• Google Cloud Platform
• Github copilot
• Gemini CLI
• AI Evaluation
• Systems Thinking
• Self-starter
• Dataflow/Apache Beam
• Bigtable
• BigQuery
• PubSub
• GCS
• Composer/Airflow
• UI development
• HTML
• JavaScript
• Angular
• Bootstrap
• SOA

Location

• CAN-Toronto-5700 Yonge

Work Type

• Full time

Experience Level

• Sr. Software Engineer
• 5+ years experience
• 3+ years experience

Education Level

• Bachelor's degree or equivalent experience

About the Company

• This is an existing position