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Senior, specialized investment-tech role at a known financial firm reduces applicant density despite metro location and multi-skill requirements.
Strong investment domain expertise and regulated-finance experience required limits cross-industry transferability.
Explicit 15+ years, mandatory hands-on Java/Python, AWS, GenAI and leadership make filters strict.
Lead technology strategy and delivery for investment analytics solutions using full-stack development (Java, Python, React, Angular).
Drive cloud-native architecture and AWS cloud platform adoption to build scalable, secure investment technology platforms.
Develop and productionize Generative AI use cases in investment workflows with practical, evidence-based AI strategies.
15+ years software engineering experience; 5-7 years in leadership with hands-on coding and architecture.
Strong hands-on skills in Java, Python, full-stack technologies including React/Angular, Node.js, SQL/NoSQL databases.
Expertise in AWS Cloud services (EC2, S3, Lambda, Glue, Athena, RDS, ECS, CloudFormation) and cloud-native architecture.
Bachelor's or Master's in Computer Science/Engineering/IT or related field; AWS and Agile certifications preferred.
Senior engineering leader comfortable balancing hands-on coding with strategic technology leadership in Investment Technology domain.
Proven ability to engage and influence senior tech and business leaders with clear communication and strategic insight.
Strong domain knowledge of investment products, portfolio analytics, and regulated financial services environment enabling translation of business needs into engineering solutions.