Full Stack Engineer - VP (Java)

About this role Within the Aladdin Product Group – Private Markets , we are hiring a Senior Software Engineer (Full Stack) to work on a critical application of the Aladdin Software suite: Asset Monitoring . The position is based in Paris and operates as part of a global engineering organization distributed across several countries worldwide. Asset Monitoring is BlackRock's strategic platform for private markets data collection, validation, and KPI tracking. It replaces legacy tools with a unified, audit-ready solution built on modern architecture patterns. The platform handles the end-to-end lifecycle of private market asset class monitoring — from data request creation and multi-entity submission workflows, through datapoint definition and calculated KPIs, to downstream reporting and analytics across Private Credit, Leveraged Finance, Direct Equity, and Fund-of-Funds. The role is a hands-on senior individual contributor to the Asset Monitoring platform and features. It requires deep understanding of the technical aspects of a web-based software deployed in the cloud, strong software architecture knowledge, and advanced notions of Product Delivery Life Cycle. AI is at the heart of this role — both as an embedded capability within the product (intelligent document extraction, copilot-assisted workflows, natural language template generation) and as a core methodology in how we design, build, and ship software (AI-augmented development, AI-driven code generation, and AI-assisted quality assurance). About You You are an experienced software engineer who is comfortable working on large, long-lived systems where correctness, traceability, and operational stability matter as much as delivery speed. You enjoy understanding how data flows through systems, how workflows interact across services, and how design decisions affect downstream consumers. You are able to work autonomously in complex codebases, while collaborating closely with peers across engineering, product, and QA. You embrace AI as a force multiplier — both in the product you build and in how you build it. You are not afraid to get into substantial codebases, leveraging AI-powered tools and copilots to understand, enhance, fix, and develop new product features at pace. You actively seek ways to integrate AI capabilities into product workflows and development processes, viewing AI not as an afterthought but as a first-class engineering discipline. As a senior engineer, you contribute through hands-on development, sound technical judgement, and constructive collaboration, rather than through formal authority. You take ownership of the quality of your work and understand the impact it has on business-critical workflows used by investment analysts and data stewards managing billions in private market assets. Technologies You Will Work With (Hands-On) Backend Java 21 (LTS), Spring Boot 3.x , Spring Modulith (modular monolith architecture) gRPC / Protobuf — strongly-typed API contracts SQL Server 2022 , JPA / Hibernate 6 , Liquibase (schema migrations) Hibernate Envers (audit trail, compliance-grade revision tracking) Frontend TypeScript 5 / React 18 — micro-frontend architecture with single-spa SystemJS RTK Query (Redux Toolkit) for server-state management AG Grid Enterprise for high-performance data grids Enterprise Design System — internal component library aligned with BlackRock UX standards AI & Intelligent Workflows Python 3.13 / FastAPI — standalone AI microservice LLM integration (GPT-4) — copilot chat, document extraction, template generation LangChain Azure OpenAI — provider abstraction layer with protocol-based swapping AI-augmented development — AI-powered IDEs, code generation, test automation, and workflow orchestration as standard practice Infrastructure & DevOps Azure (ACP/CNP) , Kubernetes (AKS) , containerised environments Azure DevOps Pipelines — CI/CD with SonarQube quality gates Helm Charts for deployment configuration OpenTeleme ... (truncated, view full listing at source)