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Tier-1 brand, common manager title, metro hiring, and broad technical requirements.
Core data engineering and Python/Kubernetes skills are highly transferable across industries.
Explicit 11-13 years plus mandatory tech and management experience creates strict filters.
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Lead and manage a software engineering team to design and implement ETL processes and production-ready applications.
Develop integrated architectural strategies and deliver user-oriented products in an agile environment focused on data and analytics.
Ensure data integrity, optimize existing processes, and implement best practices for successful project delivery.
11-13 years of relevant Software Engineering experience with 3-5 years managing software engineering teams.
Experience with Generative AI Large Language Model (GenAI LLM) development and testing.
Hands-on experience with Python, FastAPI, Openshift/Kubernetes, CI/CD tools like Jenkins, and Restful API development with frameworks such as FastAPI or Flask.
Strong understanding of database concepts including query optimization and performance tuning.
Experienced in managing cross-functional teams delivering complex data and analytics solutions in an agile environment.
Demonstrates expertise in GenAI development along with strong infrastructure and cloud tool knowledge (preferably AWS/Azure).
Operates with a focus on technical excellence, accountability, and driving simplicity and efficiency in software solutions.