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Tier-1 brand and metro location increase competition, but senior specialized role reduces applicant density.
Core backend and database skills are transferable, but enterprise platform and integration expertise increase domain specificity.
Explicit 8+ years, 5+ specialized years and mandatory Python/SQL/Kubernetes stack create high shortlisting strictness.
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Design and engineer scalable, high-performance AI-powered automation platforms for enterprise clients.
Develop and optimize system architecture, including database schema design, high-concurrency REST/SOAP API integrations, and UI/UX performance.
Diagnose and resolve complex performance bottlenecks across web application stacks using profiling and load testing analysis.
Bachelor’s Degree in Computer Science, Engineering, Information Systems, or Mathematics.
8+ years of progressive IT experience, including 5+ years in enterprise web application development, delivery, and deployment.
Strong technical skills in Python and SQL; working knowledge of JavaScript or Java.
Experience with relational databases (SQL Server, Oracle, MariaDB), middleware/APIs, Kubernetes containerization, DevSecOps practices, and test automation (Selenium).
Experienced individual contributor with deep expertise in scalable platform architecture for enterprise-grade automation.
Proven ability to implement and optimize complex database models and integrations in agile, high-velocity engineering teams.
Familiarity with modern AI/Generative AI technologies and enterprise platforms (Salesforce, ServiceNow) to aid technical integration and orchestration.