Staff Engineer - Backend

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore.

For more details visit: www.netradyne.com

Job Overview:

We operate large‑scale, distributed systems that process billions of events per day with strict requirements on reliability, latency, data correctness, and cost efficiency. At Netradyne, you'll work with a talented team of engineers, data scientists, and product leaders on problems that have a direct, real‑world impact on roads, fleets, and drivers. As a Staff Engineer, you will be a deep domain owner for IOT device Ingestion while closely collaborating with the adjacent domain. Your work will shape large‑scale systems relied on by fleets, drivers, and internal product ecosystems. As a Staff Engineer – Platform, you provide strong technical leadership and hands‑on ownership of core backend services and pipelines. You will anchor one of the primary domains from Netradyne portfolio of services and influence cross‑team architecture and execution.

You are expected to:

• Own key service architectures
• Design scalable ingestion and compliance workflows
• Ensure data quality, correctness, and reliability
• Mentor engineers and drive high engineering standards

Key Responsibilities:

• Architecture & Technical Ownership
• Own architecture, design, and evolution of platform services.
• Drive system design for large cross‑service features from ingestion to downstream consumers.
• Define and maintain clean service boundaries, APIs, and data contracts.

Platform & Systems Development

• Design scalable, high‑throughput ingestion pipelines for logs, telematics, and event data.
• Build and optimize streaming and batch data workflows.
• Translate regulatory requirements into robust system behavior and guardrails.
• Ensure correctness, ordering, idempotency, and fault tolerance across workflows.

Reliability & Observability

• Define and uphold SLOs for latency, availability, and data accuracy.
• Champion best practices in logging, monitoring, tracing, and alerting.
• Design for backpressure handling, graceful degradation, and system recovery.

Data Modeling & Storage

• Design data models and partitioning strategies for hot and cold data.
• Select appropriate storage technologies (SQL, NoSQL, time‑series, object storage) balancing scale, performance, and cost.

Cross‑Team Collaboration

• Work closely with Product, Data, Compliance, and Engineering teams to deliver domain initiatives.
• Lead design reviews, contribute to RFCs, and support cross‑team architecture discussions.

Mentorship & Engineering Quality

• Mentor engineers on system design, distributed systems, and platform thinking.
• Improve code quality, documentation, and operational best practices.

Mandatory Skills

• Strong CS fundamentals (DSA & system design).
• Deep hands‑on backend experience with Java, Spring Boot., Microservices.
• Strong grounding in distributed systems concepts: consistency, durability, retries, idempotency, backpressure, partitioning, resilience.
• Practical experience with Kafka / Kinesis / Pulsar or similar.
• Experience operating production systems (on‑call, incidents, postmortems).
• Excellent communication and technical leadership ability.

Preferred Skills

• Experience building high‑throughput ingestion or streaming systems.
• Exposure to compliance‑heavy or audit‑driven domains (transportation, fintech, healthcare).
• Experience with edge or intermittently connected devices.
• Hands‑on work with observability stacks.
• Prior experience in ELD / HOS / telematics is a plus.