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Strong brand and metro location, but senior specialized leadership role reduces applicant density.
Strong investment technology and regulated finance domain requirements limit cross-industry transferability.
Explicit 15+ years requirement plus hands-on Java/Python, AWS, GenAI, and full-stack mandates strict filtering.
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Lead technology strategy and implementation for advanced investment analytics using cloud-native solutions and full-stack development.
Provide hands-on engineering leadership in Java, Python, and AWS cloud services, ensuring high-quality, scalable solutions with AI/GenAI integration.
Collaborate extensively with global stakeholders to drive cross-functional initiatives and mentor a distributed engineering team for growth and innovation.
15+ years in software engineering with 5-7 years in a leadership role managing engineering teams while remaining hands-on in coding and architecture.
Strong expertise in Java, Python, full-stack development including React/Angular front-end and Node.js back-end, and AWS Cloud Platform (S3, Glue, Lambda, Athena, ECS, EC2, RDS).
Demonstrated experience designing and deploying Generative AI (LLMs) solutions in production environments.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
Experienced in investment technology domain including portfolio management, trading workflows, and investment analytics in regulated financial environments.
Proven ability to define and execute technology strategy aligned with business objectives and to engage senior technology and business stakeholders effectively.
Strong track record of delivering complex, strategic initiatives in matrixed, global organizations and mentoring cross-functional engineering teams.