Senior Vice President, Full-Stack Engineer

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: Sanctions Domain 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 Full-Stack Engineering 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 Systems 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 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 AI & Agentic Platforms 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 DevOps & Delivery Git/GitLab, CI/CD, Docker, Kubernetes Trunk-based development, feature flags, blue-green/canary deployments Observability: Splunk, AppDynamics, Grafana

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

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

Languages: Java, Python, TypeScript | Frontend: Angular | Messaging: Kafka, IBM MQ | Data: Oracle, MongoDB, Elasticsearch, Redis | Screening: Bridger, Actimize, Fircosoft | CI/CD: GitLab, Docker, K8s | AI: Windsurf, Cursor, Claude Code, Codex CLI | Methodology: Agile, trunk-based dev, full lifecycle ownership