Senior Software Engineer II – AI-Native, Mobile, Developer Experience

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop platform-level testing infrastructure for iOS and Android that operates continuously, scales automatically, and highlights signals without manual intervention.

• Implement AI-driven failure classification to minimize noise, prioritize signals, and reduce time-to-resolution for test failures across mobile suites.

• Collaborate with the AI Native platform team to deliver innovative skills that automate various categories of manual engineering tasks.

• Create and sustain in-app instrumentation that tracks mobile performance, quality signals, and test execution telemetry.

• Develop data pipelines that channel quality signals into dashboards, alert mechanisms, and AI analysis layers, granting the organization real-time insights into test health and application quality.

• Oversee the infrastructure utilized to establish baselines, monitor, and troubleshoot mobile API behavior in continuous integration.

• Work together with Mobile, Backend, and Release Engineering teams to integrate AI-native quality practices throughout the development lifecycle — from conception to production.

• Assist in the design and implementation of agentic quality automation: systems that respond to quality signals instead of merely reporting them.

• Enhance the pod’s AI-native capabilities — documenting successful strategies, refining shared workflows, and guiding others in effectively directing AI.

⛳️ Requirements

• A proven history of delivering complex, production-ready software outcomes.

• Authentic proficiency in directing AI agents: you decompose, delegate, and validate tasks at a level that yields superior output compared to traditional manual engineering.

• Ability to work seamlessly across the entire stack — mobile instrumentation, backend pipelines, CI/CD systems, and developer tools — without restricting yourself to a single domain or awaiting ownership of a layer. AI bridges skill gaps; you supply the judgment.

• Capacity to make swift, sound decisions in ambiguous situations and to differentiate between reversible decisions (proceed) and irreversible ones (exercise caution).

• Discerning judgment regarding AI-generated outputs — you recognize quality standards, identify what may be locally correct yet globally fragile, and maintain a consistent quality threshold regardless of the production method.

• Skill in articulating problems with clarity — your prompts, specifications, and plans are comprehensible enough for AI to act upon without constant revisions.

• Experience with MCP (Model Context Protocol), LLM tool utilization, or agent orchestration frameworks (e.g., LangChain, LangGraph, AWS Bedrock Agents, etc.).

• Clear and direct communication with engineers, product teams, and stakeholders throughout the organization.

• Bachelor's degree or equivalent experience.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans (fully covered for US employees). Supplemental medical and dental plans are available for Canadian employees.

• 401(k) plan with company matching in the US and RRSP with DPSP plan for Canadian employees.

• Employee Assistance Program (EAP) focused on mental wellness.

• Flexible paid time off (PTO) and 12 company-wide holidays throughout the year.

• Learning and Development programs.

• Provision of equipment, tools, and reimbursement support to create a productive remote work environment.

• Complimentary Life360 Platinum Membership for your chosen circle.