Full Stack Engineer - VP (Java)

About this roleWithin 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 YouYou 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)BackendJava 21 (LTS), Spring Boot 3.x, Spring Modulith (modular monolith architecture)gRPC / Protobuf — strongly-typed API contractsSQL Server 2022, JPA / Hibernate 6, Liquibase (schema migrations)Hibernate Envers (audit trail, compliance-grade revision tracking)FrontendTypeScript 5 / React 18 — micro-frontend architecture with single-spa + SystemJSRTK Query (Redux Toolkit) for server-state managementAG Grid Enterprise for high-performance data gridsEnterprise Design System — internal component library aligned with BlackRock UX standardsAI & Intelligent WorkflowsPython 3.13 / FastAPI — standalone AI microserviceLLM integration (GPT-4) — copilot chat, document extraction, template generationLangChain + Azure OpenAI — provider abstraction layer with protocol-based swappingAI-augmented development — AI-powered IDEs, code generation, test automation, and workflow orchestration as standard practiceInfrastructure & DevOpsAzure (ACP/CNP), Kubernetes (AKS), containerised environmentsAzure DevOps Pipelines — CI/CD with SonarQube quality gatesHelm Charts for deployment configurationOpenTelemetry for distributed observabilityOAuth 2.0 / OIDC authentication and role-based authorizationWays of WorkingAgile / ScrumAI-assisted Product Delivery Life Cycle (PDLC)Multi-repository workspace with coordinated releasesWhat You Will Be DoingDesigning and implementing features within Asset Monitoring, focusing on enhancing the platform's data collection, datapoint management, and submission workflowsBuilding AI-powered product capabilities — contributing to intelligent document extraction, copilot-assisted data workflows, and natural language template generation that are core differentiators of the platformLeveraging AI in your development workflow — using AI-powered IDEs, copilots, and code generation tools as standard practice to maximize productivity, accelerate code comprehension, and deliver quality features on timeWorking across the full software lifecycle, including development, testing, deployment, monitoring, and incident investigationContributing to the evolution of core platform architecture — modular monolith patterns, micro-frontend orchestration, gRPC API design, and cross-service event-driven workflowsWriting clear, maintainable code and contributing to automated testing and CI/CD pipelines with quality gatesDiagnosing issues in existing systems, including integrations with internal platform APIs and downstream reporting and analytics systems, and improving them incrementally and safelyParticipating actively in code reviews and technical discussions, championing best practices in both traditional engineering and AI-augmented developmentCollaborating closely with engineers, architects, product partners, and QA across locationsWhat You BringMaster's degree in Engineering, Computer Science, Mathematics, or a related technical disciplineExtensive professional experience building and supporting production software systems (typically 10+ years)Strong ability to independently navigate and understand complex, existing codebases — including with the aid of AI toolsSolid analytical and problem-solving skills, particularly