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Tier-1 brand, generic backend title, mid-level experience requirement, and Mumbai metro location increase competition.
Financial market surveillance domain requires domain knowledge, but Java and big-data skills are transferable.
Explicit 5+ years plus mandatory Java, big-data, Autosys and Oracle SQL increase filter strictness.
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Design, develop, and maintain enterprise-scale, high-volume batch data processing applications for market surveillance in an Agile/DevOps environment.
Lead and mentor software engineering teams, driving adoption of AI-assisted engineering practices and best coding, architecture, and operational standards.
Drive architectural decisions, technical strategy, and stakeholder communications for data processing and market surveillance solutions.
5+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in Core Java and Java EE application development.
Experience with database programming and Oracle SQL optimization for high-volume enterprise applications.
Experience leading use of AI-assisted software development tools with understanding of responsible AI use and software delivery security.
Experienced leader capable of guiding Agile teams and driving AI-assisted engineering adoption for code quality and delivery acceleration.
Strong background in batch processing systems, Autosys scheduling, and secure software delivery pipelines (CI/CD).
Technical expertise aligned with market surveillance, financial data processing, and cloud-native architectures (AWS/Databricks certifications preferred).