Senior Software Engineer II (AI Native)

Accountabilities:: Design, build, and operate end-to-end product features across backend services, APIs, and native iOS and Android experiences. Work across Java, Spring Boot, Kafka, Kafka Streams, AWS, Swift, Kotlin, and related cloud-native technologies as required by the product. Use AI coding assistants and agentic workflows as first-class engineering tools for analysis, specification, implementation, testing, refactoring, codebase navigation, and documentation. Help establish and document AI-native engineering practices, creating playbooks and workflows that can be adopted across the wider engineering organization. Collaborate closely with product managers, designers, and platform engineers to turn complex user needs into reliable, scalable, and accessible solutions. Own the complete lifecycle of the systems and features you build, from initial implementation through production monitoring, incident response, and on-call support. Contribute to architectural decisions, technical standards, code reviews, and continuous improvement initiatives. Apply AI-assisted development techniques to increase engineering leverage while maintaining strong quality, security, reliability, and accountability standards. Mentor other engineers and share effective AI workflows, prompting strategies, development practices, and technical approaches. Monitor and improve performance, reliability, accessibility, and overall quality for the experiences you own. Adapt successful technical and product patterns to support additional customer segments and emerging product priorities as the team evolves. Requirements: 5+ years of professional experience building and operating high-quality, consumer-scale software or services. At least 1 year of hands-on experience prompting, evaluating, and building with large language models or AI-based development technologies. Strong full-stack capabilities spanning backend services and native mobile development, with experience in iOS and/or Android and the ability to move comfortably across the technology stack. Experience with technologies such as Java, Spring Boot, Kafka, Kafka Streams, AWS, Swift, Kotlin, or comparable modern backend, cloud, and mobile technologies. Deep understanding of agentic development workflows, prompt engineering, context management, and MCP/function calling. Demonstrated ability to use AI tooling as a substantive engineering partner rather than solely for autocomplete, research, or basic assistance. Strong ownership mindset, with the ability to identify problems independently and follow solutions through development, production, and measurable customer impact. Strong communication and collaboration skills, with the ability to work effectively with product, design, platform, and engineering teams. Interest in defining and improving AI-native engineering practices and helping teammates adopt effective AI-assisted workflows. Strong empathy for end users and the ability to translate real human needs into thoughtful technical solutions. Experience with performance, reliability, accessibility, incident response, and production operations. Bachelor's degree in a technical field or equivalent professional experience. Benefits: Fully remote work opportunity for candidates based in Canada or the United States, subject to applicable hiring requirements. Canadian salary range of $171,500–$201,000 CAD for candidates based in Canada. Total compensation includes equity in the form of Restricted Stock Units (RSUs), alongside a comprehensive benefits package. Medical, dental, and vision coverage, plus life and disability benefits and supplemental medical and dental plans for Canadian employees. RRSP with DPSP plan for Canadian employees. Paid parental leave. Mental Wellness Program and Employee Assistance Program (EAP). Flexible paid time off, company-wide holidays, and summer and winter shutdown periods. Learning and development programs to support ongoing professional growth. Equipment, tools, and reimbursement support for an effective remote working environment. Free membership benefits and connected-device products. Remote-first flexibility with a distributed workforce. Opportunities to work with modern AI technologies and help shape AI-native engineering practices. Significant ownership over end-to-end product development and the opportunity to work on products serving large-scale consumer audiences. An inclusive environment that values diverse perspectives, direct and respectful communication, continuous improvement, and customer-focused product development.