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.

Role Summary

We are looking for a senior technical leader to own and drive the design, development, and evolution of device health, platform, API, and integration capabilities. The role combines hands-on engineering with architecture, technical leadership, mentoring, and cross-functional execution. The candidate will work on large-scale device telemetry, health monitoring, APIs, data processing pipelines, and third-party integrations.

Role and Responsibilities

Lead the design and development of scalable device health, monitoring, platform, API, and integration services.
Own architecture and technical direction for complex systems involving device telemetry, health monitoring, APIs, data pipelines, and third-party integrations.
Design, build, and maintain highly available, reliable, secure, and high-performance backend services and customer-facing APIs.
Build solutions for device status and health monitoring, including processing telemetry and identifying device health conditions and operational issues.
Design and implement REST APIs, Webhooks, partner integrations, asynchronous workflows, and event-driven services.
Design systems capable of processing high volumes of real-time device data while meeting performance, scalability, and reliability requirements.
Define and enforce API standards including versioning, backward compatibility, authentication, authorization, rate limiting, error handling, and lifecycle management.
Design and optimize data processing pipelines for large-scale device and platform data.
Address distributed-system challenges including retries, idempotency, fault tolerance, failure handling, and data consistency.
Work with Product, Architecture, QA, DevOps, and partner teams to translate requirements into scalable technical solutions.
Lead architecture reviews, design reviews, technical discussions, and engineering decisions for complex initiatives.
Identify and address scalability, reliability, performance, security, and operational risks across device and platform services.
Drive projects through requirements, design, implementation, testing, deployment, and production support.
Investigate complex production issues, identify root causes, and drive sustainable fixes and improvements.
Provide technical leadership and mentorship to engineers and establish engineering best practices.
Participate in hiring, technical interviews, team development, and capability building where required.
Work with engineering leadership to plan execution, manage technical dependencies, and ensure timely delivery of key initiatives.
Promote automation, observability, operational excellence, and continuous improvement across the platform.

Essential Skills

10+ years of strong hands-on software engineering experience, with significant experience in Java and backend/API development.
Strong experience with Java, Spring, and Spring Boot.
Strong experience designing and building REST APIs, Webhooks, Web Services, and third-party integrations.
Strong understanding of API design, versioning, backward compatibility, authentication, authorization, rate limiting, security, and API lifecycle management.
Strong understanding of distributed systems, event-driven architecture, asynchronous processing, retries, idempotency, fault tolerance, and failure handling.
Experience with messaging and streaming technologies such as Kafka, AWS SQS/SNS, Kinesis, or equivalent.
Experience with device telemetry, device health, monitoring, real-time data processing, or IoT platforms.
Strong understanding of data processing pipelines and systems that operate at large scale.
Strong knowledge of object-oriented programming, design patterns, data structures, algorithms, and software engineering best practices.