This role exists to ensure our product teams build systems that are not only functional, but scalable, secure, and built to last. As a Senior Software Developer, you will set the technical direction and elevate engineering standards by translating complex product needs into well-architected solutions that balance immediate delivery with long-term platform health.

Outcomes

• Architect scalable, resilient AI and ML focused systems that support current product requirements while enabling future growth, with clear documentation of key design decisions and trade-offs.
• Improve engineering quality and consistency across the team, evidenced by reduced defects, stronger code standards, and adoption of best practices in testing, observability, and security.
• Accelerate delivery predictability by providing accurate technical input into planning, breaking down complex initiatives into actionable milestones, and reducing rework.
• Strengthen technical capability of the team through mentorship, resulting in measurable growth in engineer autonomy and technical decision-making.
• Ensure production readiness and reliability, with systems meeting defined SLAs and improved incident response practices and observability.
• Drive effective cross-functional collaboration with Product, Design, and other technical leaders, resulting in well-defined, feasible solutions and fewer late-stage changes.
• Champion AI-first development practices, using tools like GitHub Copilot and Claude Code to accelerate delivery, strengthen code quality, and multiply the team's engineering throughput.

Skills & Competencies - How the Work Gets Done

Technical Expertise

• Strong AI and ML system design skills, with experience building scalable, secure, mission-critical systems
• Deep hands-on expertise across a wide variety of AI/ML related platforms. LLMs, Python based ML technologies and services, and data science awareness as examples of related technologies.
• Strong proficiency in using Python as a main programming language.
• Strong proficiency in SQL and NoSQL based data platforms.
• Experience with caching and scheduling frameworks ex (SQS, Redis, and similar).
• Proven experience deploying and operating applications in AWS utilizing multiple AWS services.
• Frontend development experience in React/Vue or similar technologies is preferred.
• Experience with DevOps and engineering tools including Azure DevOps, GitHub, and CI/CD pipelines
• Strong testing discipline with unit testing using pytest or equivalent with a focus on maintainability and code quality
• Comfortable leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and AI-first development techniques as a core part of the daily workflow, not an occasional aid

Leadership Through Influence

• Ability to lead through hands-on contribution, design leadership, and technical credibility-not authority
• Skilled in code reviews, design reviews, and setting engineering standards
• Proven ability to mentor and develop engineers through practical, real-time coaching
• Model and coach AI-assisted / agentic development practices, helping the team build fluency with these tools and techniques

Collaboration & Communication

• Strong communication skills with the ability to clearly explain complex technical concepts and trade-offs
• Experience working cross-functionally with Product, Design, QA, DevOps, and Security
• Ability to translate product requirements into actionable technical solutions

Location & Salary Range: This is a remote position, and the salary range for this role is $110,000-$130,000 CAD. Compensation information provided is a good faith estimate for this position only. Factors that may be used to determine your actual salary may include your specific skills as well as the years of experience you have. Similar positions located in different geographic regions will not necessarily receive the same compensation. #LI-Remote

We conduct a mix of in-person and virtual interviews. Virtual interviews are held via Microsoft Teams and are recorded and transcribed. We may utilize AI tools to support our hiring team in notetaking, summarization, and internal training. AI tools are not used in our recruitment process for decision-making purposes. Recordings, transcripts, and notes are used for recruitment, including improvement of our process, and record-keeping purposes. Should you have any questions or concerns about our process, please connect with our hiring team in advance of scheduled interviews.