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 and knowledge in Agile delivery (ideally with Scrum experience)
Experience delivering high-volume, highly available enterprise applications in regulated environments
Strong knowledge of TDD, Continuous Integration, and automation practices
Experience with modern CI/CD pipelines and infrastructure-as-code tooling
Ability to critically analyse designs and code, providing constructive and actionable feedback
Ability to communicate effectively with both technical and non-technical stakeholders
Excellent verbal and written communication skills
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America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
