NetraDyne

AI-powered fleet safety dash cam analytics

Senior Staff Engineer - Backend & Data Engineering

Data EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Six to ten years of hands-on backend engineering experience with deep expertise in Java, Spring, and Spring Boot.
Production experience with Apache Cassandra, including data modeling, consistency tuning, compaction strategies, cluster operations, and troubleshooting.
Strong Apache Spark and Scala experience for distributed batch processing, including running Spark jobs on Amazon EMR with Apache Airflow.
Experience with streaming systems such as Apache Flink or Kinesis, including stream joins, windowing, aggregations, and operational latency optimization.
Strong PostgreSQL background and understanding of polyglot data architectures.
Experience with AWS data services, including S3, EMR, RDS, Glue, Kinesis, SQS, IAM, and CloudWatch.
Solid understanding of distributed systems, including retries, idempotency, fault tolerance, and eventual consistency.
Experience with real-time analytics systems or operational dashboards.
Ability to debug complex production issues across services, jobs, and data stores, and experience mentoring engineers.
B.Tech or M.Tech in Computer Science, Engineering, or a related field, or equivalent professional experience.

Responsibilities

Lead architecture and development of cloud data infrastructure supporting real-time health operations dashboards and telematics analytics.
Own the health operations dashboard platform by designing real-time data aggregation, time-series analytics, and operational dashboards for internal teams.
Design and operate scalable data pipelines on Amazon EMR using Apache Spark and Scala, orchestrated with Apache Airflow, for high-volume device telemetry processing.
Architect and operate production Apache Cassandra clusters for operational data and time-series workloads; optimize schema, compaction strategies, and replication for dashboard query performance.
Design streaming pipelines on Amazon Kinesis and Apache Flink for real-time health event processing, status aggregation, and operational alerting.
Own end-to-end data quality, schema governance, retention policies, and observability across ingestion, streaming, batch, and query layers.
Build highly available Java and Spring Boot services for health metric computation, data operations, and dashboard backends, including idempotent consumers and fault handling.
Lead design reviews, mentor engineers, investigate production incidents, and drive technical strategy with Product, QA, DevOps, and partner teams.

Desired Qualifications

Production Apache Cassandra operations, including capacity planning, monitoring, and disaster recovery.
Data lakehouse or warehouse patterns such as Iceberg and Delta Lake.
CI/CD and production operations using Jenkins, Docker, and Sentry.
Observability platforms such as Datadog and Splunk.
AI-assisted development tools such as Claude, Cursor, and GitHub Copilot.

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.

About the Role

Lead architecture and development of cloud data infrastructure supporting real-time health operations dashboards and telematics analytics
Own the health operations dashboard platform—design real-time data aggregation, time-series analytics, and operational dashboards for internal teams
Design and operate scalable data pipelines on Amazon EMR (Apache Spark/Scala) orchestrated with Apache Airflow for high-volume device telemetry processing
Architect and operate production Apache Cassandra clusters for operational data and time-series workloads; optimize schema, compaction strategies, and replication for dashboard query performance
Design streaming pipelines on Amazon Kinesis and Apache Flink for real-time health event processing, status aggregation, and operational alerting
Own end-to-end data quality, schema governance, retention policies, and observability across ingestion, streaming, batch, and query layers
Build highly available Java/Spring Boot services for health metric computation, data operations, and dashboard backends with idempotent consumers and fault handling
Lead design reviews, mentor engineers, investigate production incidents, and drive technical strategy with Product, QA, DevOps, and partner teams

Required Qualifications

6-10 years hands-on backend engineering with deep expertise in Java, Spring, and Spring Boot
Production experience with Apache Cassandra: data modeling, consistency tuning, compaction strategies, cluster operations, and troubleshooting
Strong Apache Spark and Scala experience for distributed batch processing; proven ability to run Spark jobs on Amazon EMR with Apache Airflow
Experience with streaming systems (Apache Flink or Kinesis): stream joins, windowing, aggregations, and operational latency optimization
Strong PostgreSQL background and understanding of polyglot data architectures
Experience with AWS data services: S3, EMR, RDS, Glue, Kinesis, SQS, IAM, CloudWatch
Solid understanding of distributed systems: retries, idempotency, fault tolerance, eventual consistency
Experience with real-time analytics systems or operational dashboards
Ability to debug complex production issues across services, jobs, and data stores; experience mentoring engineers

Preferred Qualifications

Production Cassandra operations: capacity planning, monitoring, disaster recovery
Data lakehouse or warehouse patterns (Iceberg, Delta Lake)
CI/CD and production operations (Jenkins, Docker, Sentry)
Observability platforms (Datadog, Splunk)
AI-assisted development tools (Claude, Cursor, GitHub Copilot)

Education

B.Tech/M.Tech in Computer Science, Engineering, or 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.

About the Company

NetraDyne

AI-powered fleet safety dash cam analytics

NetraDyne provides AI-powered safety solutions for commercial fleets. Its main product is an AI-driven dash cam that analyzes driver behavior in real time, detects risky actions (like texting or drowsiness), and issues audio alerts to help drivers correct behavior. Beyond recording, it converts data into actionable insights for fleet managers, enabling remote monitoring, driver coaching through recommended videos, and rewards for safe driving. Revenue comes from selling the technology and a subscription-based software platform for proactive safety, traffic-violation detection, and performance analytics. The company differentiates itself by focusing on proactive, data-driven safety and coaching to prevent incidents, rather than merely recording events. Its goal is to reduce accidents and create safer, smarter roadways for commercial fleets.

Company size: 1,001-5,000
Company stage: Series D
Total funding: $352.5M
Headquarters: San Diego, CA
Founded: 2015

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