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Tier-1 brand, mid-level generalist backend role, and broad technical requirements amplify competition.
Core backend and AI skills are transferable, though finance/regulatory experience increases specificity.
Explicit 5+ years plus many mandatory technical and AI-related skills makes shortlisting highly strict.
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Lead development and delivery of secure, high-quality Python and Java backend code within an agile Employee Platforms Team.
Provide technical guidance across teams and drive adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes.
Influence product design, application functionality, and technical operations; act as subject matter expert and contribute to firmwide engineering standards and tools.
5+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience with Python, SQL, Databricks, Knowledge Graphs, and advanced proficiency in at least one programming language such as Python, Java, or R.
Demonstrated ability to lead use of enterprise AI-assisted software development tools with strong understanding of responsible AI practices including security and compliance.
Experience with platform technologies such as AWS, Docker, Kubernetes, CI/CD pipelines, and working knowledge of full SDLC and agile methodologies including CI/CD and security.
Technical leader skilled in integrating AI-assisted development tooling to improve engineering workflows within a secure, compliant environment.
Experienced in ML techniques especially NLP, Knowledge Graphs, and LLMs with ability to optimize and deploy AI/ML models on cloud platforms like AWS (Sagemaker, EKS).
Familiar with enterprise-scale financial services IT environments and cloud-native architectures, capable of influencing design and engineering across multiple teams.