Sr. Staff Backend Engineer - AI-Native, Devices Cloud
New
L
Life360IoT, Telematics
Within the US and CanadaFull-TimeStaff
Salary216500 - 318500 USD per year
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Job Details
- Experience
- 12+ years
- Required Skills
- AWS EKSKafkaAWS Lambda
Requirements
- 12+ years of experience designing and operating large-scale backend or cloud infrastructure systems.
- Strong preference for IoT, telematics, or hardware-adjacent domains experience.
- Demonstrated track record of setting technical direction across teams, driving architectural decisions, and aligning engineering roadmaps with business goals.
- Deep expertise with cloud-native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.), distributed systems design, and high-throughput data pipelines.
- Strong hands-on experience with agentic AI workflows, architecting multi-agent systems, managing context, and building AI-native development practices.
- Proven ability to mentor Staff and Senior engineers, elevate team-wide engineering standards, and drive cultural change through influence.
- Exceptional communication skills: able to distill complex architectural concepts for diverse audiences.
- Ability to navigate ambiguity, manage competing priorities across groups, and lead through influence.
- Experience with high-frequency ingest systems, time-series data, and streaming platforms (Kafka, Kinesis, or similar).
- Bachelor’s Degree in a Technical field, or equivalent experience.
Responsibilities
- Own the technical architecture and long-term roadmap for Devices Cloud systems, ensuring they are scalable, secure, and resilient at Life360's scale.
- Define and drive system-level technical direction across multiple teams, identifying architectural trade-offs and resolving design conflicts.
- Lead AI-native engineering practices for Devices Cloud: architect agentic workflows and codify patterns for AI-assisted development.
- Partner with firmware, mobile, product, and platform teams to define APIs, integration standards, and device-driven workflows.
- Drive the architecture and delivery of large-scale, cross-team initiatives from conception through production.
- Anticipate system bottlenecks, failure modes, and security risks; define safeguards and engineering standards.
- Mentor and grow Staff and Senior engineers across the team: provide architectural guidance and conduct technical reviews.
- Collaborate with engineering and product leadership to influence organizational priorities and communicate technical strategy.
- Represent the team in cross-functional forums; produce clear architectural documentation and roadmap artifacts.
- Participate in on-call rotation and lead high-severity incident response.
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