Senior Backend Engineer: Cloud & Distributed Systems Equity

LVT; Seattle, Northern (WA, KY); Hybrid; USD 185,000 - 230,000; Full time

Job summary

LVT is building an agentic AI platform with edge devices and cloud components. This role focuses on the cloud backbone of the event pipeline and context stores, ensuring reliable, scalable operations and observable systems across large fleets of devices.

You will collaborate with edge, data, and infrastructure teams to deliver a resilient, scalable platform that supports agent and CV workflows at scale.

Qualifications

• 6+ years building backend or distributed systems in production at scale.
• Hands-on with Kafka or comparable log/streaming system and schema-registry integration.
• Track record of hardening services for production including SLOs, metrics and alerting.
• Experience operating different stores per access pattern and lakehouse integration.
• Strong in Go and/or Python; building APIs and large-scale backend services.
• Cloud-Native with AWS and Kubernetes; open, portable components.
• Bachelor's or Master's in Computer Science, Engineering, or related field.

Responsibilities

• Harden the cloud pipeline production-grade reliability, delivery and ordering guarantees, replay and idempotency.
• Serve the agent layer by making dispatch paths reliable and exposing projections via queries.
• Scale ingresses and projections, maintain materialized stores and lakehouse integration.
• Own observability: dashboards, alerting, and feature flags to keep the platform healthy.

Skills

Backend systems

Distributed systems

Event streaming

Reliability/observability

Storage projections

Go/Python

AWS/Kubernetes

Education

Bachelor's or Master's in CS/Engineering

Tools

Kafka

Schema registry

Iceberg/S3 lakehouse

Job description

LVT is building an agentic AI platform with edge devices and cloud components. This role focuses on the cloud backbone of the event pipeline and context stores, ensuring reliable, scalable operations and observable systems across large fleets of devices.

You will collaborate with edge, data, and infrastructure teams to deliver a resilient, scalable platform that supports agent and CV workflows at scale.