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Strong employer brand, metro location and mid-level popular data skillset create moderate competition.
Requires deep financial services knowledge plus data engineering expertise, reducing cross-industry transferability.
Mandatory 5+ years plus PySpark/Databricks/AWS and finance/AI compliance requirements enforce strict screening.
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Lead software design, development, and troubleshooting for scalable, secure technology products in an agile environment.
Drive adoption and define standards for AI-assisted engineering practices to improve code quality, delivery speed, and operational stability.
Evaluate external and internal technical solutions for integration within existing systems and architecture.
5+ years of applied software engineering experience with formal training or certification.
Hands-on expertise in Pyspark, AWS, Databricks, and experience with AI-assisted software development tools.
Advanced programming skills in one or more languages.
Strong understanding of software development lifecycle, agile methodologies (CI/CD), and practical cloud-native experience.
Demonstrated leadership in introducing AI-assisted software engineering practices with a focus on secure and compliant adoption.
Experience in financial services IT systems and operational stability of software applications.
Capable of architecting and evaluating technical solutions across multiple areas to support business objectives.