Senior Software Engineer II, (AI Native)

Accountabilities:

• • Build, maintain, and continuously improve high-throughput, low-latency backend services, with a focus on reliability, scalability, performance, and operational health.
  • Own projects and features end-to-end, including defining scope, designing technical solutions, implementing functionality, testing, deployment, monitoring, and ongoing optimization.
  • Develop and enhance Real-Time Bidding (RTB) and auction capabilities while supporting integrations with demand-side and supply-side partners.
  • Collaborate with Staff Engineers, architects, and technical stakeholders to implement platform architecture decisions and identify potential design or scalability gaps.
  • Partner with Product teams to translate new advertising formats and monetization requirements into robust technical designs and scalable solutions.
  • Contribute to monitoring, incident response, troubleshooting, and root-cause analysis to strengthen platform reliability.
  • Integrate AI into day-to-day engineering workflows, using AI coding assistants for analysis, development, refactoring, testing, documentation, and codebase navigation.
  • Apply sound engineering judgment when reviewing AI-generated code and remain fully accountable for the quality, security, reliability, and maintainability of delivered solutions.
  • Mentor junior engineers and contribute to team standards covering code quality, testing, documentation, and engineering practices.
  • Share effective AI workflows and continuously evaluate emerging tools and approaches that can improve engineering velocity and reduce operational overhead.

  Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • 5–8 years of backend software engineering experience, with strong proficiency in Java and multi-threaded system design.
  • Proven experience building or operating high-throughput, low-latency distributed systems in production environments.
  • Strong understanding of data consistency, performance trade-offs, scalability, and database fundamentals.
  • Experience working in cloud-native environments, ideally with AWS.
  • Familiarity with AdTech concepts, including real-time bidding, auctions, and supply/demand integrations, is an advantage.
  • Experience integrating third-party APIs or external partner systems is beneficial.
  • Strong technical communication skills, with the ability to explain complex engineering decisions clearly to both technical and non-technical stakeholders.
  • Demonstrated ability to take ownership of projects, make sound technical decisions, and deliver reliable solutions with limited oversight.
  • Comfortable working with AI-assisted and agentic development workflows, including tools such as Claude Code, Cursor, or GitHub Copilot.
  • Willingness to use AI coding tools as a substantive part of daily engineering work, including coding, refactoring, testing, analysis, and documentation.
  • Strong judgment and accountability when evaluating and reviewing AI-generated output.
  • A collaborative mindset with an interest in mentoring colleagues, sharing knowledge, and continuously improving engineering practices.

  Benefits:

  • Competitive Canadian base salary of CAD $171,500–$201,000, depending on experience, skills, and location.
  • Equity as part of the overall compensation package.
  • Comprehensive medical, dental, and vision benefits, along with life and disability coverage for Canadian employees.
  • RRSP with DPSP plan to support long-term financial planning.
  • Paid parental leave.
  • Flexible paid time off, companywide holidays, and summer and winter shutdown periods.
  • Mental Wellness Program and Employee Assistance Program (EAP).
  • Learning and development programs to support continued professional growth.
  • Equipment, tools, and reimbursement support for a productive remote working environment.
  • Remote-first work model, allowing employees to work remotely within Canada.
  • Access to a premium membership and connected tracking products as part of the employee benefits offering.
  • Opportunity to work on large-scale distributed systems and develop expertise in AI-native software engineering.
  • High-autonomy environment focused on technical impact, engineering excellence, continuous learning, and collaboration.