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Strong brand, metro location, mid-level generalist fullstack title, and broad skills create high competition.
Core fullstack and AI skills transfer across industries, though finance security/compliance adds moderate specialization.
High due to explicit 5+ years, lead title, and mandatory fullstack, cloud, and AI-assisted development skills.
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Lead development and delivery of secure, stable, scalable full stack software products within Securities Services Technology for Commercial & Investment Bank.
Drive adoption and effective use of enterprise-authorized AI-assisted engineering tools to improve code quality, delivery speed, and operational outcomes.
Collaborate with data scientists, product managers, and business owners, making architectural decisions and integrating AI/LLM capabilities into applications.
5+ years of applied experience with formal training or certification in software engineering concepts.
Proven experience building production full stack software systems with expertise in system architecture including databases (relational/NoSQL), authentication/authorization, API design, cloud infrastructure (AWS/Azure), containerization, and CI/CD pipelines.
Hands-on experience with AI coding tools (eg. Cursor, Claude Code, Copilot) and ability to evaluate their use effectively.
Proficiency in modern programming languages and frameworks with demonstrated ability to learn and deliver (examples include Java/Spring Boot, React/Angular).
Experienced in leading AI-assisted software development practices and setting team standards for validating AI outputs ensuring correctness, performance, and security.
Strong judgment on technology trade-offs including when to code versus use low-code/orchestration tools, and experience with automation platforms like n8n or Zapier is a plus.
Able to operate strategically in ambiguous problem spaces with a track record of rapid prototyping and iteration, focusing architecturally on business logic and edge cases when AI tools handle implementation.