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We are seeking an experienced Full Stack Engineering Leader with a strong background in .NET, React/TypeScript, and a proven track record of leading high-performing engineering teams. The VP will play a pivotal role in shaping and delivering eFront Insight Core, our flagship Private Markets data and analytics platform. This platform is central to our Data Collection business and increasingly leverages AI and GenAI technologies to deliver smarter insights, automation, and enhanced user experiences. As part of BlackRock’s eFront division, you will drive innovation in Private Markets technology, lead strategic initiatives, and mentor engineering squads to achieve excellence in software delivery and AI adoption.
Job Responsibility:
Lead and mentor engineering teams and squads, fostering a culture of innovation, collaboration, and technical excellence
Drive the design and delivery of AI-enhanced features, leveraging GenAI and ML models to improve data quality, automate workflows, and deliver predictive insights
Oversee the full lifecycle of SaaS product development, including production monitoring, incident resolution, and performance optimization on cloud platforms
Define and enforce best practices for CI/CD, automated testing, and scalable architecture
Partner with product and business stakeholders to align technology strategy with Private Markets industry trends and client needs
Champion AI adoption across engineering processes, including code generation, testing automation, and intelligent data pipelines
Requirements:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or related field
7+ years of experience in software development
at least 3+ years in leadership roles (team lead, squad lead, or project manager)
Deep expertise in C#/.NET and React/TypeScript
Python experience is a plus
Strong understanding of cloud-native architectures and Azure services
Proven ability to lead complex projects, manage multiple priorities, and deliver high-quality solutions at scale
Experience integrating AI/ML solutions into enterprise applications
familiarity with GenAI concepts is highly valued
Excellent communication skills and ability to influence across technical and business teams
Nice to have:
Elasticsearch
Azure CosmosDB
Azure Service Bus
Kubernetes
Familiarity with AI frameworks (TensorFlow, PyTorch) or Azure AI services