Staff Full Stack Engineer, Platform

Netradyne • San Diego, CA

10d • $140,318 - $187,091

About The Position

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. POSITION SUMMARY: We are looking for a staff full-stack engineer whose core strength is backend systems and infrastructure. You will own the platform that ingests, processes, stores, and serves large volumes of video and sensor data. The primary data sources are edge/IoT devices operating in the field. You need to understand how to design systems that work reliably under those conditions. You care about reliability, scalability, and cost efficiency, and you are comfortable making architectural decisions early when requirements are still evolving. Privacy and security engineering is a first-class concern for this product, and you will own that infrastructure. If you have ML engineering experience, there are opportunities to apply it — but it is not required. This is a small, early-stage team. You will design systems from scratch, make foundational architecture choices, and own entire subsystems end-to-end

Requirements

• 7+ years of software engineering experience, with depth in backend systems, data infrastructure, or media platforms.
• Experience building systems that handle large-scale data: ingestion pipelines, transcoding, storage, indexing, or streaming.
• Experience with IoT or edge device data — store-and-forward, intermittent connectivity, device fleet management — is a strong differentiator.
• Strong infrastructure skills: AWS (S3, Lambda, ECS, SQS, DynamoDB), CI/CD, monitoring, cost optimization.
• Experience with data modeling, search and indexing, and building APIs that serve rich content.
• Privacy and security engineering experience is a strong plus: access control, audit logging, policy enforcement, compliance.
• Willingness to work across the stack wherever the team needs you. This is a small team — you will wear multiple hats.

Nice To Haves

• ML engineering experience (on-device inference, model quantization) is a bonus but not required.

Responsibilities

• Device-to-cloud data platform: the systems that receive data from edge devices in the field, process it, store it efficiently, and make it queryable. This includes handling store-and-forward uploads, media pipelines, metadata indexing, tiered storage, and APIs that serve rich content to frontend experiences.
• Privacy and security infrastructure: access control, audit logging, configurable data retention and recording policies, consent management. Privacy is a day-one architectural requirement, not a feature bolted on later.
• Cloud infrastructure and DevOps: provisioning, CI/CD, monitoring, alerting, cost management. You own the operational health of the platform.
• API design and backend services: data modeling, auth, multi-tenancy, and integration points for enterprise systems.

Benefits

• Salary + eligibility for yearly bonus
• Company equity
• Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
• Generous PTO and Sick Leave
• 401(K) with generous company match
• Disability, Life Insurance and Ancillary Benefits
• And much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level