AI Accelerated Trading Application Engineer - Aladdin Trader, Vice President

BlackRock•New York, NY

2d•$162,000 - $215,000•Hybrid

About The Position

About BlackRock: Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world’s most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for software engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $14 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions. What are Aladdin and Aladdin Engineering? You will be working on BlackRock's investment tooling, operations, and application system called Aladdin. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. Our development teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and supports millions of financial instruments.

Requirements

B.S. or M.S. in Computer Science, Engineering, or a related field
7+ years of professional software engineering experience
Hands on experience leveraging modern AI assisted development tools and platforms (e.g., Claude Code, Windsurf, Cursor or similar)
Experience building AI agents to automate portions of the product development lifecycle (PDLC), including coding, testing, review, and validation
Experience designing agentic context environments, evaluation systems and self improvement loops to ensure correctness, repeatability and governance of AI outputs.
Strong foundation in core Java, object-oriented design, and design patterns
Hands-on experience with Java, Spring / Spring Boot, Hibernate
Proven track record of building high-quality, test-driven software with strong design principles
Strong analytical, problem-solving, and communication skills
Deep understanding of concurrent programming and experience designing high-throughput, highly available, fault-tolerant distributed systems
Experience designing and operating distributed systems with a focus on resiliency, idempotency, failure handling, and scalability
Extensive experience building microservices / SOA architectures
Experience with event-driven and message-oriented systems (Kafka, MQ, AMPS, NATS, etc.)
Experience with relational and NoSQL databases (e.g., SQL Server, Sybase, Cassandra, Redis)
Exposure with high-scale distributed technologies such as Kafka, Cassandra, Redis, MongoDB, Ignite, Zookeeper
Demonstrated experience using modern engineering tools and practices (Git, Maven, unit/integration testing frameworks, mocking frameworks)
Experience building APIs and microservices using REST, Kafka, or gRPC
Ability to continuously evaluate and adopt emerging AI, LLM, and engineering tools
Experience leading projects or providing technical leadership for the design and quality of significant systems or components
Ability to collaborate effectively with cross-functional teams, partners, and stakeholders across regions
Experience driving delivery planning, prioritization, and execution against business commitments
Ensure system quality through automated testing, AI-assisted code reviews, and production support
Interest or experience in finance or investment processes, with the ability to translate business problems into technical solutions

Nice To Haves

Practical experience applying cloud-native design patterns to event-driven microservice architectures
Experience working in agile teams and/or contributing to open-source projects
Background in optimization, algorithms, or quantitative systems
Experience with cloud platforms (Azure, AWS, GCP)
Experience with containerization and cloud deployment tools (Docker, Kubernetes, Terraform, Ansible)
Experience with DevOps practices and tools, including Azure DevOps
Experience with agentic orchestration systems or multi agent workflows
Experience working on AI focused platforms, internal AI tooling, or research adjacent environments
Familiarity with modern front-end frameworks (React, Angular, Vue.js)
Certifications, advanced degrees, or an open-source track record demonstrating mastery of software engineering principles

Responsibilities

Design and implement AI driven automation across the software development lifecycle, including agent based support for coding, testing, code review, and release validation.
Establish and evolve agentic development environments, including context management, evaluations, and feedback loops to continuously improve AI output quality.
Act as a technical force multiplier by helping teams safely scale the use of AI and autonomous agents in a regulated, mission critical environment.
Deliver high throughput, scalable, highly available, concurrent and fault tolerant software systems
Collaborate with team members in a multi-office, multi-country environment
Significantly contribute to development of Aladdin’s global, multi-asset trading platform
Work with product management and business users to define the roadmap for the product
Design and develop innovative solutions to complex problems, identifying issues and roadblocks
Apply validated quality software engineering practices through all phases of development
Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support
Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others
Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement