Senior Backend Engineer II, AI Native, Vertical Experiences

life360; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote-first (US/Canada)

Healthcare + dental + vision

Wellness & PTO

Home-office support

Equity

Job summary

life360 is seeking a senior backend engineer to design, build, and operate distributed services powering connected-device features in a high-traffic consumer product.

You will own end-to-end backend services, from device signals to state management, telemetry, and health monitoring, while collaborating across hardware, firmware, mobile, and product teams. This role emphasizes production delivery, incident response, and AI-native development.

Qualifications

• Bachelor’s degree in computer science or equivalent professional experience.
• At least five years building backend services in Java, Go, Python, or a comparable language.
• Strong experience with microservices, RESTful API design, distributed systems, and production operations.
• Practical cloud-infrastructure experience, preferably with AWS, container orchestration, and automated deployments.
• Experience with relational or NoSQL databases, caching systems, and event or streaming platforms.
• Comfortable collaborating across engineering and product disciplines and owning services through their full lifecycle.
• Demonstrated interest in AI-native development and the ability to evaluate, verify, and improve agent-generated work.

Responsibilities

• Create and maintain scalable backend services for device connectivity, telemetry ingestion, monitoring, and command or control operations.
• Work with firmware, mobile, design, and product partners to define APIs, data flows, and end-to-end workflows for device capabilities.
• Deliver resilient microservices on cloud infrastructure using container orchestration, serverless components, managed databases, queues, and related services.
• Build and own high-throughput streaming and data pipelines using Kafka or comparable event-processing technology.
• Instrument systems for observability, reliability, and service-level objectives; participate in on-call rotations and live incident response.
• Write clean, testable, performant code while improving CI/CD, deployment automation, and engineering practices.
• Orchestrate AI coding agents for specifications, implementation, test creation, incident triage, pull-request review, and system design, and share effective practices with the team.

Skills

Backend systems

Distributed systems

Microservices

REST APIs

AWS

CI/CD

AI-native development

Education

Bachelor's degree in CS

Tools

Kafka

Kubernetes

Docker

SQL/NoSQL databases

Job description

Role overview

Design, build, and operate backend services for connected-device features in a high-traffic consumer product. The work sits between hardware, firmware, mobile applications, and product teams: you will turn device signals into dependable systems for state management, telemetry, health monitoring, commands, and new experiences. This is a senior, systems-oriented role for an engineer who enjoys distributed systems, frequent production delivery, incident response, and using AI agents as a core part of the development workflow.

Responsibilities

• Create and maintain scalable backend services for device connectivity, telemetry ingestion, monitoring, and command or control operations.
• Work with firmware, mobile, design, and product partners to define APIs, data flows, and end-to-end workflows for device capabilities.
• Deliver resilient microservices on cloud infrastructure using container orchestration, serverless components, managed databases, queues, and related services.
• Build and own high-throughput streaming and data pipelines using Kafka or comparable event-processing technology.
• Instrument systems for observability, reliability, and service-level objectives; participate in on-call rotations and live incident response.
• Write clean, testable, performant code while improving CI/CD, deployment automation, and engineering practices.
• Orchestrate AI coding agents for specifications, implementation, test creation, incident triage, pull-request review, and system design, and share effective practices with the team.

Requirements

• Bachelor’s degree in computer science or equivalent professional experience.
• At least five years building backend services in Java, Go, Python, or a comparable language.
• Strong experience with microservices, RESTful API design, distributed systems, and production operations.
• Practical cloud-infrastructure experience, preferably with AWS, container orchestration, and automated deployments.
• Experience with relational or NoSQL databases, caching systems, and event or streaming platforms.
• Comfortable collaborating across engineering and product disciplines and owning services through their full lifecycle.
• Demonstrated interest in AI-native development and the ability to evaluate, verify, and improve agent-generated work.

Benefits and work setup

• Remote-first work environment within the United States or Canada.
• Compensation includes medical, dental, vision, life, disability, financial, equity, parental-leave, wellness, paid-time-off, learning, and home-office support programs, subject to location and eligibility.