Senior Staff Engineer - SDE

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. 
• Strong understanding of database design and internals, including RDBMS and NoSQL data stores. 
• Experience designing high-performance APIs and data processing systems for large datasets and high transaction volumes. 
• Strong experience with AWS and cloud-hosted environments. 
• Strong analytical and debugging skills with the ability to resolve complex production and system-level issues. 
• Strong communication skills and ability to influence technical decisions across teams. 
• Ability to mentor engineers and provide technical direction while remaining hands-on.

The rest of this description is on the employer’s own page.