We’re seeking a future team member for the role Senior Vice President, Full-Stack Engineer to join our applications & payments processing team. This role is located in Pittsburgh, PA.

In this role, you’ll make an impact in the following ways:

• Architect and deliver high-throughput sanctions screening platforms — static screening (Bridger, Actimize, ForCom) and transaction screening (Fircosoft) — with sub-second SLAs at enterprise scale
• Own end-to-end delivery — requirements through architecture, development, testing, CI/CD, deployment, observability, and production support
• Build full-stack applications — Java/Spring Boot backend, Angular/TypeScript frontend, Python for data pipelines and ML integration
• Engineer for resilience and availability — 99.99%+ uptime, active-active failover, circuit breakers, chaos engineering, disaster recovery
• Establish data contracts — schema versioning, contract testing, compatibility guarantees across screening engines and downstream consumers
• Drive data lineage and data mesh — end-to-end traceability for audit and regulatory reporting; domain-oriented data ownership
• Lead AI transformation — integrate AI/ML into screening workflows; build agentic AI systems; drive adoption of Windsurf, Cursor, Claude Code, Codex CLI across the team
• Champion engineering excellence — code reviews, static analysis, test coverage, rapid deployment (trunk-based dev, feature flags, blue-green releases)

To be successful in this role, we’re seeking the following:

• 8+ years building or integrating sanctions/AML screening platforms
• Deep knowledge of static screening (Bridger, Actimize, ForCom) and transaction screening (Fircosoft)
• Understanding of OFAC, EU, UN, HMT sanctions regimes; screening workflows including alert generation, case management, disposition, and regulatory reporting

• 12+ years full-stack development with end-to-end delivery ownership
• Java 17+/ Spring Boot, microservices, REST APIs, Kafka
• Angular 14 / TypeScript, modern UI patterns
• Python for data pipelines, automation, ML integration
• Strong SQL (Oracle/PostgreSQL), caching (Redis) is a plus

• Proven experience with high-throughput (hundreds of millions of transactions/day), high availability, and high resiliency systems
• Distributed systems patterns, capacity planning, incident management

• Data contracts — schema registries, contract testing, backward/forward compatibility
• Data lineage — source-to-outcome traceability
• Data mesh — domain ownership, data-as-a-product, federated governance

• Proficient with AI-assisted dev tools (Windsurf, Cursor, Claude Code, Codex CLI, Copilot) - MUST HAVE
• Experience building or using agentic AI platforms for code generation, testing, or automation
• LLM integration: prompt engineering, RAG, tool-use, guardrails

• Git/GitLab, CI/CD, Docker, Kubernetes
• Trunk-based development, feature flags, blue-green/canary deployments
• Observability: Splunk, AppDynamics, Grafana

• Bachelor's degree in computer science, engineering, or related discipline, or equivalent work experience; Master's degree preferred

• Engineering leadership experience — managing teams, mentoring, hiring, succession planning
• SWIFT MT/MX and ISO 20022 experience
• Rules engines (Drools, decision-tree frameworks)
• Experience in a globally regulated financial institution (G-SIB)
• Patent filings, publications, or conference speaking

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.