Key Responsibilities

• Design, implement, and maintain robust time-series databases such as Apache Druid and Apache Pinot
• Optimize system performance, ensuring high throughput and low latency in data processing pipelines
• Troubleshoot and resolve complex issues related to data ingestion, query performance, and system stability
• Implement data retention policies and manage system resources efficiently High-Scale API Development:
• Design and develop high-performance, scalable APIs using NodeJS (or other relevant technologies like Python)
• Implement RESTful APIs to serve processed data to various client applications 
• Optimize API performance to handle high-concurrency scenarios
• Implement caching strategies and other performance optimization techniques Daily Operations and SLA Management: 
• Monitor system health and performance, ensuring all SLAs are met
• Develop and maintain automated monitoring and alerting systems 
• Conduct regular system audits and performance-tuning sessions CI/CD and DevOps.
• Collaborate with the Infrastructure team to optimize infrastructure provisioning and management
• Write complex SQL queries to extract insights from large datasets

Required Qualifications

• Bachelor s or Master's degree in Computer Science, Software Engineering, or a related field 
• 7 years of experience in software engineering, with at least 5 years focused on time-series databases
• 3 years of hands-on experience with Apache Druid, Apache Kafka, Elasticsearch, or similar time-series database systems
• Experience with CI/CD pipelines, particularly using GitLab
• Deep understanding of distributed systems concepts, including consistency models, partitioning, and replication
• Solid understanding of data structures, algorithms, and system design principles
• Strong knowledge of AWS services, including EC2, S3, Lambda, and EKS
• Familiarity with container technologies such as Docker and Kubernetes
• Proficiency in SQL, including experience with complex queries and query optimization
• Strong programming skills in NodeJS or other OOP languages, with experience in developing and maintaining high-scale APIs
• Experience with other programming languages such as Java, Scala, or Go.

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