Senior Staff Engineer - Backend & Data Engineering
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 stat
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