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# Senior Backend Engineer II, AI Native, Vertical Experiences

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/tile.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 148k–216k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished30 Sep 2026Apply before30 Oct 2026Listing views33Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Life360 is seeking a senior backend engineer to build and operate cloud services for connected-device and pet-focused consumer experiences. The role centers on scalable, low-latency systems for telemetry ingestion, device state, health monitoring, and command/control in an AWS microservices environment. The engineer will collaborate closely with firmware, mobile, product, and design partners while owning production reliability, observability, CI/CD improvements, and incident response. The team expects daily, accountable use of AI coding agents across specification, implementation, testing, review, and operational workflows. This remote-first position is explicitly open to candidates working in the United States and Canada.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a senior, production-facing distributed-systems role requiring 5+ years of backend engineering experience and ownership of high-throughput IoT/device services. The combination of on-call responsibility, cross-functional delivery, AWS/Kafka-scale systems, and AI-native workflow leadership makes the role highly demanding.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$182,000US market range$150k–$225k0$248k

AI insightThe disclosed US annual base-salary range is $148,000–$216,000 USD, with a midpoint of $182,000 USD. For a US-based Senior Backend Engineer working on distributed systems, AWS infrastructure, streaming data, and connected-device platforms, an estimated competitive US market range is approximately $150,000–$225,000 USD annually; equity and benefits may increase total compensation. The posting also discloses a separate annual Canada range of CAD 171,500–201,000.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Microservices](https://jobicy.com/jobs?search_keywords=Microservices.md)[IoT](https://jobicy.com/jobs?search_keywords=IoT.md)[Telemetry Ingestion](https://jobicy.com/jobs?search_keywords=Telemetry%20Ingestion.md)[Kafka](https://jobicy.com/jobs?search_keywords=Kafka.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[AI Coding Agents](https://jobicy.com/jobs?search_keywords=AI%20Coding%20Agents.md)

Sample interview questionsHow would you design a backend pipeline for high-volume device telemetry while ensuring reliable processing and low latency?I would separate ingestion, validation, durable event streaming, and downstream processing. Devices would publish through authenticated APIs or gateways, events would be partitioned by device identifier in Kafka or Kinesis, and consumers would process idempotently with retries and dead-letter handling. I would define SLOs for ingest latency and loss, instrument each stage with metrics and traces, and use replayable streams to support recovery and backfills.

Describe how you approach operating a service that participates in an on-call rotation.

I start by making the service observable: actionable alerts tied to user impact, dashboards for key saturation and error signals, structured logs, traces, and documented runbooks. During an incident, I prioritize mitigation and clear communication, then conduct a blameless review that identifies durable fixes such as capacity protections, safer deployments, automated remediation, or improved alert quality.

What tradeoffs would you consider when choosing DynamoDB versus a relational database for device state?

I would begin with access patterns, consistency needs, expected scale, and query flexibility. DynamoDB is a strong choice for predictable key-based access at very high scale, while a relational database is better when the domain needs rich joins, transactional relationships, or ad hoc queries. In many systems, I would use a purpose-built combination, with a low-latency device-state store and a relational system for administrative or strongly relational workflows.

How do you ensure AI-generated code is safe and maintainable in a production backend service?

I treat AI output as an untrusted draft and remain accountable for its design and behavior. I validate requirements, inspect generated changes, run unit and integration tests, assess security and performance implications, and require normal code review and CI checks. I also use AI to improve coverage, documentation, and incident analysis, but not as a substitute for engineering judgment.

Tell us about a time you had to align multiple technical teams on an API or system-design decision.

I would establish the shared user outcome and clarify ownership boundaries before proposing an interface. I would document contracts, failure modes, versioning, security requirements, and operational expectations, then review the proposal with each stakeholder group and incorporate their constraints. After launch, I would monitor adoption and production behavior, using feedback and telemetry to evolve the contract safely.

Opportunity details

## About this role.

### About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

### We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

### About The Team

The Vertical Experiences team builds the experiences that bring pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360’s Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with mobile, design, and product to define what pet ownership looks like inside Life360.

We are an AI-Native team. AI isn’t an add-on to how we work — it’s how we work. We’ve redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We’re looking for engineers who want to help define what AI-native development looks like for a high-traffic consumer product.

### About the Job

As a Backend Engineer on the Vertical Experiences (Devices Cloud) team, you’ll build and operate the cloud services that power Life360’s connected devices. This role sits at the intersection of hardware, firmware, and mobile, translating real-world device signals into reliable, scalable backend systems. You’ll work on high-throughput, low-latency services that manage device state, ingest telemetry, and enable new device-driven features for millions of members worldwide. The work is hands-on, systems-oriented, and designed for engineers who enjoy solving messy, real-world problems at scale.

You don’t just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You’ll help establish and evolve AI-native engineering practices for the Vertical Experiences team while delivering features that ship to production weekly.

For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD. Note: Please be aware that the job title for positions in Canada will be “Developer” in lieu of “Engineer.” We take into consideration an individual’s background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

### What You’ll Do

* Design, build, and maintain backend services that support device connectivity, telemetry ingest, health monitoring, and command/control operations.
* Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features.
* Deliver scalable, resilient systems in a microservices environment running on AWS (EKS, Lambda, DynamoDB, SQS, etc.).
* Build and own data pipelines for high-throughput streams using Kafka or similar streaming tech.
* Instrument services for observability, reliability, and SLO compliance.
* Participate in on-call rotations and live incident response.
* Write clean, testable, performant code and help improve CI/CD and automation.
* Orchestrate AI coding agents daily for spec writing, code generation, test authoring, incident triage, PR review, and system design

### What We’re Looking For

* Bachelor’s in Computer Science or equivalent experience.
* 5+ years experience building backend services in Java, Go, Python, or similar languages.
* Experience with microservices architecture, RESTful API design, and distributed systems.
* Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments.
* Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems.
* Comfortable collaborating across teams and articulating technical tradeoffs.
* Hands-on agentic AI workflow experience.

Nice-to-Have

* Experience with IoT or telematics systems.
* Familiarity with Kafka, Kinesis, or other streaming platforms.
* Experience with high-frequency ingest systems and time-series data.
A background with observability tooling (Prometheus, Grafana, OpenTelemetry).
* Knowledge of SRE practices and automated testing frameworks.

### AI-Native Expectations

We use AI coding tools as a professional standard on this team. Here’s what that means in practice:

* Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
* Judgment and ownership: AI-generated code gets the same review you’d give any PR. You are accountable for everything you ship.
* Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
* Team leadership: You share what works. You automate prompting strategies that others can build on.
* Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team.

### Our Benefits

* Competitive pay and benefits.
* Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
* Paid parental leave.
* 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
* Mental Wellness Program & EAP.
* Flexible PTO and 12 company-wide days off throughout the year.
* Learning & Development programs.
* Equipment, tools, and reimbursement support for a productive remote environment.
* Free Life360 Platinum Membership for your preferred circle.
* Free Tile Products.

### Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

* Be a Good Person — We have a team of high integrity people you can trust.
* Be Direct With Respect — We communicate directly, even when it’s hard.
* Members Before Metrics — We focus on building an exceptional experience for families.
* High Intensity, High Impact — We do whatever it takes to get the job done.

### Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

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[Apply now >](https://jobicy.com/jobs/154259-senior-backend-engineer-ii-ai-native-vertical-experiences.md)

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