Senior Software Engineer II, Mobile - On App Ads (AI Native)

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, Mobile – On App Ads (AI Native) based in Canada.

Join a remote-first technology team developing innovative mobile experiences that help families stay connected, safe, and informed. As a Senior Mobile Software Engineer, you will play a key role in building and scaling the in-app advertising infrastructure across iOS applications. You will own critical components of the advertising ecosystem, including SDK development, demand partner integrations, ad mediation, privacy frameworks, and new advertising formats. Working primarily with Swift, you will help optimize advertising performance, improve monetization, and ensure a seamless user experience across a large-scale mobile platform. You will also embrace AI-native engineering practices, using intelligent coding agents to accelerate development, improve testing, and enhance technical workflows. This is an opportunity to combine advanced mobile engineering, advertising technology, and AI-driven innovation while collaborating with distributed teams and external technology partners.

Accountabilities:

Design, develop, maintain, and optimize the iOS advertising infrastructure, including in-house SDKs, header-bidding integrations, demand partners, and mediation systems.
Build and introduce new advertising formats, placements, and capabilities that support revenue growth while protecting application performance and the overall user experience.
Manage and improve integrations with advertising technologies and platforms, including Prebid, Google Mobile Ads, and other third-party SDKs.
Own iOS privacy and consent implementations, including App Tracking Transparency (ATT), IDFA management, SKAdNetwork, AdAttributionKit, and consent frameworks such as TCF and GPP.
Ensure advertising experiences comply with regional privacy requirements and respect individual user preferences and consent settings.
Monitor and improve advertising quality by identifying problematic creatives, troubleshooting rendering issues, and resolving fill-rate and latency challenges in collaboration with advertising operations teams.
Implement reliable advertising event tracking, including ad requests, impressions, clicks, and revenue signals, to support accurate reporting and experimentation.
Design, execute, and evaluate A/B tests involving advertising configurations, placement strategies, refresh policies, floor pricing, and demand partner optimization.
Leverage AI coding assistants and autonomous agents as core development collaborators to generate specifications, write Swift code, create tests, navigate codebases, and validate implementations.
Develop reusable AI-assisted engineering workflows, share effective practices, and help improve the team's productivity and development standards.
Maintain high standards of code quality by reviewing AI-generated contributions, conducting code reviews, and taking full responsibility for all production changes.
Collaborate with product managers, advertising operations, data science teams, and external technology partners to deliver scalable advertising solutions.
Contribute to architectural decisions, technical documentation, engineering best practices, and continuous improvement initiatives.
Participate in on-call rotations, troubleshoot production incidents, and support reliable mobile application releases.
Mentor fellow engineers, share technical knowledge, and help establish engineering standards across the team.
Contribute beyond iOS when necessary, supporting Android development, backend services, and advertising server configurations to deliver cross-platform solutions.
Requirements:
At least six years of professional iOS software engineering experience, with a proven track record of delivering and maintaining production applications at significant scale.
Strong proficiency in Swift, SwiftUI, and UIKit, alongside practical experience with modern iOS development tools and frameworks, including Xcode, Swift Concurrency, and Combine.
At least one year of hands-on experience working with Large Language Models (LLMs), including prompting, evaluating, and integrating AI-assisted development tools into engineering workflows.
Strong understanding of iOS architecture patterns, including MVVM, coordinators, dependency injection, and modularization using Swift Package Manager (SPM) or CocoaPods.
Experience integrating, maintaining, and troubleshooting third-party SDKs in production environments, including managing version upgrades, closed-source dependencies, application size, and performance considerations.
Solid understanding of iOS performance optimization, memory management, and crash diagnostics, with experience using tools such as Instruments, MetricKit, and Crashlytics or equivalent platforms.
Experience with iOS continuous integration and deployment (CI/CD) tools, such as Fastlane, Xcode Cloud, Buildkite, or GitHub Actions.
Practical experience with AI-native and agentic development workflows, including prompt engineering, context-window management, MCP, and function calling.
Demonstrated ability to use AI coding assistants for substantive engineering activities, including analysis, implementation, refactoring, testing, documentation, and codebase navigation.
Strong technical judgment and accountability, with the ability to critically review AI-generated code and ensure the reliability, security, and maintainability of delivered solutions.
Bachelor's degree in computer science, software engineering, or another technical discipline, or equivalent professional experience.
Strong problem-solving abilities, with a growth-oriented mindset and willingness to explore technologies and responsibilities beyond your immediate specialization.
Excellent communication and collaboration skills, with the ability to explain technical decisions, discuss trade-offs, and work effectively with cross-functional teams and external partners.
A strong sense of ownership, taking responsibility for projects throughout their entire lifecycle, from initial design and implementation to production monitoring and ongoing improvements.
Nice-to-Have Qualifications:
Previous experience in advertising technology, particularly OpenRTB, Prebid Mobile, Google Mobile Ads, Google Ad Manager (GAM), AdMob, AppLovin MAX, or Unity LevelPlay.
Knowledge of iOS privacy and attribution technologies, including ATT, SKAdNetwork, AdAttributionKit, Privacy Manifests, and consent management platforms such as Google UMP and TCF/GPP.
Experience developing or maintaining software development kits (SDKs) or reusable frameworks consumed by multiple engineering teams.
Familiarity with advertising quality tools, creative rendering technologies such as WKWebView and MRAID, and troubleshooting advertising fill rates, latency, and rendering performance.
Experience with experimentation and feature management platforms such as Statsig, LaunchDarkly, or Optimizely.
Knowledge of Android development and Kotlin, or a willingness to contribute to cross-platform engineering initiatives.
Experience mentoring engineers, establishing technical standards, and introducing scalable development practices.
AI-Native Engineering Expectations:
Daily AI adoption: Regularly use AI coding tools such as Claude Code, Cursor, and GitHub Copilot for meaningful development tasks, including coding, testing, refactoring, analysis, and documentation.
Technical judgment and ownership: Critically assess AI-generated outputs, apply the same quality standards as traditional code contributions, and remain accountable for everything delivered.
Engineering productivity: Use AI effectively to increase development speed, improve quality, and independently tackle complex technical challenges.
Knowledge sharing: Develop reusable prompting strategies, document successful AI workflows, and support colleagues in adopting AI-assisted development practices.
Continuous innovation: Stay informed about emerging AI tools and techniques, experiment with new approaches, and recommend improvements that create measurable value for the engineering team.
Benefits:
Competitive salary: Annual base salary ranging from CAD $171,500 to $201,000 for candidates based in Canada.
Equity compensation: Restricted Stock Units (RSUs) as part of the overall compensation package.
Comprehensive healthcare: Medical, dental, and vision coverage, along with life and disability insurance and supplemental healthcare plans.
Retirement savings: Registered Retirement Savings Plan (RRSP) with a Deferred Profit Sharing Plan (DPSP).
Paid parental leave: Support for employees and their families through paid parental leave.
Flexible time off: Generous flexible paid time off, company-wide holidays, and additional summer and winter shutdown periods.
Mental health support: Access to mental wellness programs and Employee Assistance Programs (EAP).
Professional development: Learning and development opportunities to support ongoing technical growth and career progression.
Remote work support: Equipment, technology tools, and reimbursement support to create a productive home-working environment.
Exclusive memberships: Complimentary premium membership to the mobile platform and access to Tile tracking devices.
Remote-first culture: The flexibility to work remotely from eligible locations across Canada.
Collaborative environment: Opportunities to work with experienced professionals in mobile engineering, advertising technology, data, and AI innovation.