🛠 Tech Stack

💼 About This Role

You'll build and scale data platforms powering real-time AI and ML systems for fleet safety products. Your work directly enables high-throughput streaming pipelines deployed at large scale. This role combines deep technical challenges with immediate impact in a fast-growing company.

🎯 What You'll Do

• Build and maintain scalable data pipelines for real-time and batch processing
• Develop data platforms supporting ML feature generation and training pipelines
• Optimize pipeline performance, reliability, and scalability
• Deploy, monitor, and troubleshoot production data systems

📋 Requirements

• 3–6 years of experience in Python-based data/backend engineering
• Experience with AWS services (Kinesis, SQS, Lambda)
• Experience building and managing data pipelines and workflows (Airflow/DAGs)
• Hands-on experience with Docker and Kubernetes

✨ Nice to Have

• Prior experience in Product or SaaS Companies
• Experience with streaming/event-driven architectures
• Exposure to NoSQL databases (MongoDB, Cassandra)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3Onsite / Virtual Technical Rounds· 2 hours