About this role

Process Engineer, Vice President – Aladdin

Join the Aladdin Data team and help power one of the industry’s leading investment technology platforms. Our team builds the scalable data ecosystem that gives investors, operations teams, and data scientists access to trusted, high-quality information.

Within Aladdin Data, Process Engineering develops the applications, pipelines, integrations, and distributed systems that turn complex data into reliable insights and support Aladdin’s continued growth.

As a Workflow Process Engineer within our Data Engineering team, you will build scalable data and artificial intelligence (AI) capabilities that solve business problems at global scale. You will combine software engineering, distributed systems, and AI expertise to improve platform resilience, accelerate innovation, and deliver trusted data across Aladdin.

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

This is a hands-on engineering role for someone who enjoys solving complex problems, building resilient systems, and working closely with product, business, and engineering partners. You will:

• Build efficient, highly available, and fault-tolerant systems used across global teams.
• Partner with product and business stakeholders to shape the technical roadmap.
• Design practical solutions to complex data, platform, and AI engineering challenges.
• Apply strong engineering practices across design, development, testing, deployment, and support.
• Improve system resilience through code reviews, automated testing, development and operations practices, and production support.
• Collaborate with colleagues across offices and countries to deliver high-impact solutions.
• Mentor engineers, raise technical standards, and help create an inclusive team culture.
• Provide Level 2 or Level 3 support for technical and operational issues when needed.

• 5+ years of software engineering experience building complex production systems.
• Advanced degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
• Strong Java and Python skills, with a focus on clean design, modular architecture, concurrency, and maintainable code.
• Experience building application programming interfaces (APIs), Multithreading, microservices, and backend services using enterprise Java and Python application-development frameworks.
• A quality-first engineering mindset, including thoughtful design, test-driven development, code reviews, automated testing, secure development practices, version control, build automation, and continuous integration and continuous delivery.
• Experience developing artificial intelligence and machine learning solutions using Python-based machine learning, data analysis, and orchestration libraries.
• Strong understanding of distributed systems, concurrency, scalability, fault tolerance, high availability, and high-throughput design.
• Experience with event-driven architectures, messaging, Representational State Transfer services, remote procedure call frameworks, and schema-based data serialization.
• Hands-on experience with relational databases, distributed document-oriented data stores, and in-memory caching platforms.
• Familiarity with modern engineering practices, including dependency management, testing, mocking, static analysis, automated delivery, and observability.
• Strong analytical, problem-solving, communication, and leadership skills, with curiosity about financial technology.

• Exposure to generative AI architectures, including agentic systems, retrieval-augmented generation, orchestration, knowledge graphs, and human-in-the-loop workflows.
• Familiarity with vector search, semantic retrieval, vector storage, and indexing platforms.
• Experience with machine learning operations and AI observability capabilities, including lifecycle management, metrics, telemetry, drift detection, and automated evaluation.
• Experience building cloud-native or event-driven applications using containers, orchestration, horizontal scaling, and infrastructure as code.
• Experience with major cloud platforms and their compute, messaging, storage, monitoring, and secrets-management services.
• Familiarity with cloud-based data processing, analytical data platforms, distributed processing, and large-scale data pipelines.
• Interest in building secure and governed AI systems with strong controls for identity, encryption, auditability, explainability, privacy, and model risk.
• Experience delivering AI and machine learning products in financial services, regulated industries, or other security-sensitive production environments.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided  on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.