Senior Software Engineer II
New
L
Life360Consumer technology
All positions, unless otherwise specified, can be performed remotely (within the US and Canada)Full-TimeSenior
SalaryFor candidates based in the US, the salary range for this position is $118,500 to $216,500 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD.
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Job Details
- Experience
- 5+ years of experience building and operating high-quality, consumer-scale services; 1+ years of hands-on experience prompting, evaluating, and building with LLMs.
- Required Skills
- AndroidKafkaPrompt EngineeringiOS
Requirements
- 5+ years of experience building and operating high-quality, consumer-scale services.
- 1+ years of hands-on experience prompting, evaluating, and building with LLMs.
- Full-stack proficiency spanning backend services and mobile client development on iOS and/or Android.
- Experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
- A track record of using AI tooling as a development partner to increase output.
- Experience using AI coding assistants for substantive work such as analysis, coding, refactoring, testing, and documentation.
- Ability to review AI-generated code and take accountability for shipped work.
- Bachelor's Degree in a Technical field, or equivalent experience.
- Strong communication and collaboration skills with product, design, and platform engineers.
Responsibilities
- Ship end-to-end features across backend services, APIs, and iOS and Android surfaces.
- Work with Claude Code and agentic workflows to create specifications, generate results, and perform reviews.
- Define and codify AI-native engineering practices and playbooks for the Verticals team and broader organization.
- Collaborate with product managers and designers to develop scalable engineering solutions to user problems.
- Contribute to architectural decisions, code reviews, technical standards, and team processes.
- Participate in on-call rotation and incident response.
- Support performance, reliability, and accessibility across owned features.
- Adapt Aging in Place patterns and services to future Things and Pets verticals.
- Mentor team members and help them adopt AI-native engineering practices.
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