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Metro location, broad technical requirements, and a common senior engineering title increase applicant competition.
Technical leadership, Java microservices, and cloud skills are transferable across industries, but financial data preference adds some bias.
Explicit 12+ years requirement, mandated tech stack, and AI-based development make shortlisting highly strict.
Lead engineering delivery for strategic platform modernization initiatives, focusing on cloud adoption, application resiliency, and QA/data-quality automation.
Own technical execution across multiple engineering squads ensuring alignment with business priorities, architecture, security, and product needs.
Manage and develop engineering teams, driving AI-assisted software development practices and establishing reusable engineering playbooks and standards.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
12+ years of software engineering or technology leadership experience including ownership of complex enterprise delivery and platform modernization.
Strong hands-on technical expertise in Java, Spring Boot, APIs, microservices, SQL databases, cloud-native application design, and AWS cloud platform.
Mandatory experience with AI-based development using AI coding assistants or generative AI tools, including applying responsible AI usage patterns.
Experienced technology leader comfortable working across architecture, delivery, engineering management, and stakeholder alignment within global, distributed teams.
Proven ability to drive Agile execution with strong focus on delivery predictability, quality, accountability, and operational readiness for large-scale modernization programs.
Familiarity with financial services or investment data platforms preferred but not mandatory, plus ability to lead AI adoption and continuous process improvements.