Senior Manager, Software Engineering - Device Platform

Lytx•San Diego, CA

21h

About The Position

At Lytx, we help make roadways safer by transforming real‑time video and telematics into safety intelligence that prevents collisions and saves lives. The Device Platform is where that intelligence begins: 1M+ IoT devices connect to our MQTT/Kafka and microservices ecosystem, streaming tens of thousands of messages per second . As Senior Manager, you’ll grow exceptional engineering talent and deliver at scale - owning ingestion, command & control, device health, OTA/firmware updates, and device/vehicle lifecycle - so our customers get reliable, real‑time insights.

Requirements

Bachelor’s degree in CS/Engineering or equivalent experience.
10+ years building scalable backend/distributed systems; 5+ years managing teams and growing senior‑level talent.
Proven success with cloud‑native microservices and high‑scale streaming/messaging (Kafka, MQTT, or similar).
Strong program execution: roadmap ownership, delivery predictability, cross‑functional coordination, measurable results.
Full‑stack experience (modern front‑end + backend services/APIs); comfortable reviewing UI, API, and data contracts end‑to‑end.
Data strength: streaming pipelines, event/telemetry data models, data quality/observability, and data‑serving patterns.
Deep understanding of distributed systems, real‑time ingestion, resiliency, and operational excellence in public cloud environments.
Continuous learner who evaluates new tech pragmatically and uplifts team capabilities, excellent communicator and collaborator.

Nice To Haves

AWS expertise (preferred cloud vendor at Lytx).
C#/.NET experience.
IoT/telematics, large device fleets, and OTA/firmware workflows.
Kubernetes and containerized deployments.

Responsibilities

Develop leaders & teams: mentor senior engineers/tech leads, build leadership depth, and foster a culture of ownership, learning, and craftsmanship.
Drive strong program execution: convert strategy into clear roadmaps and predictable delivery; manage cross‑team dependencies and outcomes.
Lead at scale: guide architecture for high‑throughput ingestion (MQTT/Kafka), resilient microservices, and real‑time APIs with robust SLOs/SLAs.
Elevate engineering excellence: advance testing, observability, incident response, and cost/performance optimization.
Own outcomes: ensure reliability, latency, data quality, and safety impact meet business goals.
Partner broadly: collaborate with product, firmware, data and domain teams to accelerate feature velocity and platform evolution.