[Hiring] Senior Site Reliability Engineer II - Infrastructure (AI Native) @Life360
Senior Site Reliability Engineer II - Infrastructure (AI Native) @Life360
Software Development
Salary cad 163,000 - 1..
Remote Location
Employment Type full-time
Posted Today

[Hiring] Senior Site Reliability Engineer II - Infrastructure (AI Native) @Life360

Today - Life360 is hiring a remote Senior Site Reliability Engineer II - Infrastructure (AI Native). πŸ’Έ Salary: cad 163,000 - 194,000 per year πŸ“Location: Canada

Role Description

Life360 is hiring an AI-Native Site Reliability Engineer β€” a senior engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the Infrastructure team builds its products, develops its services and tools, and how we use AI for scaling our infrastructure in the future.

As a Senior Site Reliable Engineer II - Infrastructure (AI Native), you will help build and maintain the infrastructure platforms that over 200 backend services run on. You will be responsible for solving complex problems and designing and building scalable and resilient Platform Infrastructure to support services that run on Kubernetes clusters with over 40,000 cores, receive over 70Bn requests per day at the edge, process ~200B messages per day internally, and have databases that process over 200k queries per second. You are comfortable exposing compute, data stores, and messaging as Platform as a Service to Life360 Cloud teams.

What You’ll Do

  • Scale and maintain our infrastructure and services using AI (Claude Code) as a first-class collaborator in your daily development workflow.
  • Be opinionated on technical direction and strategy (and documenting those opinions for others to be able to follow).
  • Lead and mentor other engineers on the team.
  • Own and resolve the most complex infrastructure failures β€” Kubernetes scheduling edge cases, networking degradation, cross-service cascading failures, and AWS platform issues that other engineers escalate.
  • Participate in a shared on-call rotation (roughly one week every six to eight weeks on call).
  • Estimate schedules, breaking tasks down to reasonable 1-3 day tasks.
  • Drive cloud cost efficiency by identifying over-provisioned resources, rightsizing EC2 and container workloads, and building tooling to surface cost anomalies before they compound.

Qualifications

  • Bachelor's in Computer Science, Engineering, related field, or equivalent practical experience.
  • Expert-level experience (5+ years) managing medium to large-scale deployments on AWS (~5000 instances, 50+ accounts), or equivalent.
  • 3+ years of experience programming in Java, Python, or other formal programming languages.
  • Strong Kubernetes experience (3+ years) deploying and managing at scale (100s of Deployments, 10k+ containers, 20k+ Cores).
  • Understanding of container orchestration and microservices.
  • Experience with service discovery/service mesh.
  • Strong Linux administration experience, shell/bash scripting.
  • Expert-level experience with Infrastructure as code tools: Terraform, CloudFormation; config management/provisioning tools: Ansible, Chef, etc.
  • Strong Build / Automation / CI/CD experience.
  • Strong Knowledge/experience with networking and load-balancer technologies.
  • Experience with existing open-source projects such as Consul, Docker, ArgoCD, Nexus, Jenkins.
  • Experience with large-scale Kafka deployments.
  • Database knowledge is a plus.
  • Excellent troubleshooting skills, expertise with any monitoring tools, and attention to detail.
  • Excellent interpersonal skills and highly collaborative working style.
  • Hands-on experience with AI coding tools (Claude Code, Cursor, or equivalent) used for infrastructure scripting, incident response automation, or tooling development.

AI-Native Expectations

  • Daily use of AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation.
  • AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
  • We are actively building multi-agent systems that automate operational work β€” from incident response pipelines to infrastructure remediation.
  • We expect senior engineers who use AI well to operate with meaningful leverage β€” doing more with the same time, taking on problems that would otherwise require a larger team.
  • You share what works and automate prompting strategies that others can build on.
  • The tooling is changing fast. You stay current and bring recommendations to the team.

Benefits

  • Competitive pay and benefits.
  • Medical, dental, vision, life and disability insurance plans.
  • RRSP plan with DPSP company matching program.
  • Employee Assistance Program (EAP) for mental well-being.
  • Flexible PTO, several company-wide days off throughout the year.
  • Winter and Summer Week-long Synchronized Company Shutdowns.
  • Learning & Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free Life360 Platinum Membership for your preferred circle.
  • Free Tile Products.
Before You Apply
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remote Be aware of the location restriction for this remote position: Canada
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Senior Site Reliability Engineer II - Infrastructure (AI Native) @Life360
Software Development
Salary cad 163,000 - 1..
Remote Location
Employment Type full-time
Posted Today
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