4 hours ago
Base Salary
$140k - $190k/yr
Responsibilities
- Build cloud ingestion, real-time event streaming, time-series and event storage, and safety-event data models.
- Design multi-tenant systems with identity, authentication, SSO, and role-based access control.
- Develop infrastructure and containerized deployments across edge and cloud environments, including monitoring and CI/CD.
- Build real-time operations dashboards, alert details with video clips, site maps, zone-violation tracking, risk summaries, compliance analytics, and operator coaching workflows.
- Develop orchestration and conversational agentic features for alert triage, coaching drafts, and safety-data summarization.
- Work directly with customers, run pilots alongside live deployments, instrument usage, and iterate rapidly from field feedback.
- Own ambiguous problems end to end from scoping and implementation through shipping and measurement.
Requirements
- 7+ years of software engineering experience.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Full-stack proficiency with a modern backend language such as Go, Python, or Java, plus cloud infrastructure or modern frontend development using TypeScript or JavaScript.
- Experience with AWS, containers, CI/CD, distributed or event-driven systems, or data-dense real-time user interfaces, depending on area of focus.
- Experience designing or working within multi-tenant systems with role-based access control.
- Fluent use of AI-assisted development tools such as Claude Code, Codex, and Cursor.
- Ability to reason across device, cloud, and user-facing systems, work across infrastructure and product/UX problems, and operate with ownership in ambiguous environments.
- Direct experience working with customers or end users to shape products.
- Preferred experience with Temporal, WorkOS, Auth0, Clerk, Spark, PySpark, time-series data, high-volume IoT or sensor data, AI agent features, or safety, operations, or compliance software.
Benefits
- San Diego role with a stated base pay range of $140,000–$190,000 USD.
- Work includes direct customer interaction, field work, pilots, and live deployments.
- Netradyne is an equal-opportunity employer.
Categories
Full StackProduct Engineering
About Netradyne
Netradyne builds an AI vision and video telematics platform for commercial vehicle fleets, using edge cameras and cloud analytics to improve safety, compliance, and operations. It sells hardware-enabled SaaS that analyzes driving in real time and delivers coaching and incident insights to managers and drivers. Founded in 2015 and headquartered in San Diego, it is privately held and serves fleet customers across North America, Europe, and Asia.