Netradyne

Senior Staff Manager - SDE

Netradyne · Bangalore, India
Bangalore, India Posted 2026-08-10
Type
Full-time
Experience
10+ yr

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.

Good-to-Have Skills

  • Experience with IoT/device platforms and large-scale device fleet management.
  • Experience with AWS services such as API Gateway, ECS/EKS, Lambda, SQS, SNS, Kinesis, RDS, DynamoDB, and CloudWatch.
  • Experience with CI/CD, infrastructure automation, observability, and production operations.
  • Familiarity with Big Data ecosystems and large-scale distributed data processing.
  • Familiarity with AI-assisted software development tools such as Claude, Cursor, and GitHub Copilot.

Leadership & Management Expectations

  • Act as a senior technical leader for the Device Health and Platform areas and take ownership of critical technical outcomes.
  • Balance hands-on engineering with architecture, technical leadership, mentoring, planning, and cross-team coordination.
  • Drive alignment across teams and communicate technical trade-offs, risks, dependencies, and delivery plans to engineering and product leadership.
  • Build a culture of engineering quality, ownership, accountability, and continuous improvement.

Qualifications and Education Requirements

  • B.Tech/M.Tech in Computer Science, Engineering, or a related field, or equivalent professional experience.

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

Recruitment Fraud Alert!

There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.

Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website .

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Netradyne

Netradyne

AI · Series D · San Diego, USA

Stage & Valuation
Series D · $1.2B
Key Investors
Point72 Ventures, Qualcomm Ventures, Pavilion Capital
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Engineering (27) · Operations (6) · Data & ML (5)
Netradyne provides AI-powered fleet safety and video telematics solutions using computer vision and in-depth data analysis. The company focuses on improving road and driver safety through processing visual and sensory inputs for commercial fleets.
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