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Lead Architect For Gen AI & LLM development

10-15 years

Noida, Bangalore / Bengaluru

1 vacancy

Lead Architect For Gen AI & LLM development

CellStrat

posted 1d ago

Job Description

  • Big Data engineer with extensive coding experience in Spark & Scala.
  • Ability to work well within a product-based organization (product mindset) and with a team comprising of developers & functional experts on a critical customer-facing product.
  • Has prior experience of at least 2 years as a PO or lead business analyst and is comfortable with technical products.
  • Experience in handling one e2e implementation of creating a data pipeline using Spark and in-depth knowledge of Spark performance tuning.
  • Good to have experience in microservices-based architecture.
  • Autonomous, motivated, and self-driven.
  • Prior experience in managing direct customer communication, expectations management, and ability to handle ambiguity.
  • Strong stakeholder management skills to manage dependencies across multiple teams and lead discussions with multiple stakeholders.
  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
  • Ready to work with a DevOps mindset with other engineers.
  • Ability to understand application architecture and align with overall product functionality and vision.
  • Excellent verbal and written communication skills in English.
  • Strong analytical and conceptual thinking to perform efficient root cause analysis and drive resolutions.
  • Airline industry knowledge is a strong positive.
Technical Skills
  • 10+ years of experience in analysis, design, development, documentation, implementation, and testing of software products using Spark, Scala, and Big Data tech stacks.
  • At least 6+ years of experience working with Big Data tech stacks: Databricks, Kafka, Spark, and experience on Azure cloud platform.
  • Good to have experience with NoSQL data using MongoDB, Cassandra, HBase, etc.
  • Good to have experience in microservices-based architecture.
  • Sound knowledge of OOPs concepts (Class loading, Memory Management, Transaction management, Multithreading, Garbage collection, Performance optimization), Data structures, and Design Patterns.
  • Experience with streaming data using Apache Kafka and processing it in real time with optimum performance.
  • Experience in messaging architecture using MQ is a plus.
  • Experience in designing and developing high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
Key Words:
  • Scala, Databricks, Kafka, Spark, Azure, NoSQL, DataLake, Big Data, Streaming.

Employment Type: Full Time, Permanent

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