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In this role, you'll make an impact in the following ways:
- Multiply team impact through handson technical leadership, mentorship, and setting a high engineering bar
- Build trust, share credit, and strengthen cross-functional execution
- Design and build fitforpurpose architectures that balance simplicity, quality, scale, and security
- Simplify systems and workflows by removing friction, toil, and unnecessary handoffs
- Create durable reusable patterns, guardrails, and tooling that accelerate team delivery
- Quickly ramps-up in new domains, technologies, and problem spaces, adapting as needs evolve
- Apply strong engineering fundamentals across software design, data, testing, and distributed systems
- Use AI-enabled tools deliberately across design, coding, testing, review, and documentation, while keeping strong human accountability for highrisk decisions, verification, and final quality
- Build software with a reliabilityfirst mindset, incorporating secure coding practices, observability, testing, and disciplined rollout/rollback strategies
- Ensure production systems meet required levels of resiliency, performance, scalability, and operability
To be successful in this role, we're seeking the following:
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience; advanced degree a plus.
- 12+ years of professional software development experience, with demonstrated depth in fullstack engineering and system / application architecture.
- Prior experience in securities, financial services, or modern engineering-first organizations is a plus
- Strong proficiency in Java, Spring Boot, SQL, and the design of RESTful and streamingbased APIs.
- Handson experience delivering cloudnative solutions, including microservices, containerization, and modern deployment patterns.
- Working knowledge of NoSQL and distributed data stores, selected and applied appropriately at scale.
- Experience leveraging AIenabled capabilities-including GenAI or MLdriven services-to enhance developer productivity, system intelligence, or customer outcomes, with a pragmatic understanding of responsible use, scalability, and integration into enterprise platforms.
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BNY Mellon
Jul 10, 2026