About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer II, (AI Native) based in United States.
As a Senior Software Engineer II, you will help build and evolve high-throughput backend systems powering a large-scale digital advertising platform.
Responsibilities
- 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.
Conditions
- 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.