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Job Description
<p><b>Role Overview :</b><br/><br/>We are seeking a seasoned Python developer from the telecommunications domain, adept at building and scaling systems that process hundreds of thousands to millions of events/transactions per minute.
The ideal candidate has deep experience with Kafka and will lead architecture design, mentor junior developers, and deliver robust, scalable and Responsibilities :</b></p><br/>- Define scalable event-driven pipelines capable of handling lakhs to millions of messages/minute using Kafka<br/><br/>- Develop and optimize Python services using Flask, FastAPI (or Django).<br/><br/>- Build REST APIs, CLI tools, and components interfacing with legacy systems (e.g., AMOS, CORBA).<br/><br/>- High-Volume Event Processing : Design, implement, and optimize Kafka producers/consumers, manage clusters, topics, partitions, and schema registries<br/><br/>- Ensure pipeline reliability, performance, and durable stream handling.<br/><br/><b>Database Design & Optimization :</b><br/><br/>- Architect PostgreSQL schemas optimized for concurrency, partitioning, and real-time analytics.<br/><br/>- Troubleshoot performance bottlenecks and optimize query execution.<br/><br/><b>Mentorship & Leadership :</b><br/><br/>- Mentor junior developers<br/><br/>- Define engineering best practices and set standards across the team.<br/><br/><b>Required Qualifications :</b><br/><br/>- 4+ years of Python experience building production services.<br/><br/>- Proficiency with Flask, FastAPI, or Django.<br/><br/>- Mandatory deep experience with Apache Kafka .<br/><br/>- Strong PostgreSQL skills : schema design, indexing, partitioning, high concurrency.<br/><br/>- Strong debugging, profiling, and optimization skills.<br/><br/>- Proven track record of mentoring junior team members.<br/><br/>- Good communication, collaboration, and documentation habits.<br/><br/><b>Preferred Skills :</b><br/><br/>- Experience with RabbitMQ or Celery.<br/><br/>- Familiarity with NoSQL databases (e.g., MongoDB, Cassandra)<br/><br/>- Knowledge of stream-processing frameworks (e.g., Kafka Streams, Spark, Flink).<br/><br/>- Candidate from the Telecom industry/project is preferred</p> (ref:hirist.tech)
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