Senior Vice President, Full-Stack Engineer
About The Position
We’re seeking a future team member for the role Senior Vice President, Full-Stack Engineer to join our applications & payments processing team. In this role, you’ll make an impact by architecting and delivering high-throughput sanctions screening platforms with sub-second SLAs at enterprise scale. You will own end-to-end delivery from requirements through architecture, development, testing, CI/CD, deployment, observability, and production support. You will build full-stack applications using Java/Spring Boot for the backend, Angular/TypeScript for the frontend, and Python for data pipelines and ML integration. You will engineer for resilience and availability, aiming for 99.99%+ uptime, active-active failover, circuit breakers, chaos engineering, and disaster recovery. You will establish data contracts including schema versioning, contract testing, and compatibility guarantees across screening engines and downstream consumers. You will drive data lineage and data mesh, ensuring end-to-end traceability for audit and regulatory reporting, and promoting domain-oriented data ownership. You will lead AI transformation by integrating AI/ML into screening workflows, building agentic AI systems, and driving adoption of specific AI tools across the team. You will champion engineering excellence through code reviews, static analysis, test coverage, and rapid deployment practices like trunk-based development, feature flags, and blue-green releases.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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)
Benefits
- Highly competitive compensation
- Benefits and wellbeing programs
- Access to flexible global resources and tools
- Focus on health
- Foster personal resilience
- Reach financial goals
- Generous paid leaves
- Paid volunteer time
- Medical, dental, and vision insurance
- Basic life insurance
- Vacation and sick time
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What This Job Offers
Job Type
Full-time
Career Level
Senior
