Process Engineering (Java, Multithreading) - Vice President

About the role

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.

Responsibilities

• 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.

Required Qualifications

• 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.