Vice President, Full-Stack Engineer

Vice President, AI-Augmented Full-Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Vice President, Full-Stack Engineer to join our team. This role is located in Manchester. You’ll join a team committed to delivering quality through TDD, Continuous Integration, and extensive automation. The team drives best practices department-wide, and you should be confident in promoting these standards.

The ideal candidate enjoys collaborating to solve technical challenges, leading workshops, and mentoring junior team members to enhance skills and  this role, you’ll make an impact in the following ways:
Champion Engineering 2.0 practices by embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovation

Leverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standards

Design, build, and deploy intelligent, scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWS Architect and implement data platforms using Snowflake for analytics and reporting, ensuring seamless integration with broader enterprise data ecosystems

Build and maintain real-time event streaming architectures (e.g., Kafka, Azure Event Hubs) to power high-throughput, low-latency financial data flows

Deliver robust full-stack solutions utilising .NET/C# and SQL where appropriate, ensuring clean, maintainable, and well-tested code across the stack

Lead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning integration, and modern cloud patterns

Mentor and uplift team members in adopting AI-driven engineering practices, fostering a culture of continuous learning and experimentation

Partner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standards

Conduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality and team expertise

Collaborate with the team and wider development community to cultivate Agile mindsets and practices, driving effective and adaptive workflows

To be successful in this role, we're seeking the following:
Demonstrated experience as an AI-augmented developer, with proficiency in tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs) to accelerate engineering delivery

Strong understanding of Engineering 2.0 principles – using AI and intelligent automation to fundamentally enhance how software is designed, built, tested, and deployed

Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines

Proficiency with Snowflake for data warehousing, analytics, and building scalable data platforms

Experience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event Hubs Strong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)
Solid experience with .NET/C# and SQL Server for building enterprise-grade applications and data access layers

Expert knowledge of design patterns, SOLID principles, and modern architectural patterns (microservices, event-driven, CQRS)
Experience…