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Job Description
This role involves designing and building large-scale, resilient backend systems for processing and analyzing high-volume telemetry and log data, primarily using cloud-native technologies, to enhance fleet reliability and automate issue detection and response.
Key Responsibilities
- Design and build large-scale, resilient backend systems for high-volume data ingestion, extraction, and real-time classification of telemetry logs
- Develop and optimize data pipelines and distributed systems using cloud technologies such as AWS, SQS, Redis, and S3
- Establish and monitor operational metrics (SLOs), implement observability tools, and improve system reliability and cost-efficiency
- Lead the technical direction for complex features, mentor engineers, and create design documentation for long-term architecture
Requirements
- Expert-level proficiency in building and operating large-scale backend services using Python, Go, or Java in a production environment.
- Deep understanding of distributed systems fundamentals, including service-oriented architecture, asynchronous workflows, and failure domain management.
- Proven experience in data engineering, specifically building and optimizing log analytics systems or high-volume data pipelines using cloud-native tools such as AWS services, Kafka, or equivalent.
- Advanced data modeling and optimization skills for both SQL and NoSQL database systems such as PostgreSQL and Snowflake, focused on performance and scalable storage.
- Demonstrated ability to lead and drive complex, cross-functional technical initiatives from concept through deployment with high autonomy.
- Ability and willingness to work from the Bangalore office in compliance with company policies, unless on PTO, work travel, or other approved leave.
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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