Rust Developer

About The Company

BlackRock is a global leader in investment management, risk management, and advisory services, dedicated to helping clients achieve their financial goals. Renowned for its innovative approach and commitment to excellence, BlackRock operates in more than 100 countries, serving a diverse range of clients including institutions, financial professionals, and individual investors. The company's mission is to create a better financial future for its clients through advanced technology, data-driven insights, and sustainable investment strategies. BlackRock's culture emphasizes diversity, inclusion, and continuous learning, fostering an environment where talented professionals can thrive and make a meaningful impact in the financial industry.

About The Role

Join BlackRock's AI Platform Engineering team as part of the Aladdin Engineering division, where you will be instrumental in shaping the future of financial technology. This role offers an exciting opportunity to work on cutting-edge AI infrastructure that supports some of the most sophisticated investment management tools globally. As an integral member of the team, you will be responsible for designing, developing, and maintaining scalable AI platforms that enable advanced machine learning and data analytics capabilities. Your work will directly influence the firm’s ability to deliver innovative investment solutions, improve operational efficiency, and enhance risk management processes.

In this position, you will collaborate with cross-functional teams across multiple geographies, applying your expertise to build resilient, secure, and high-performance cloud-native infrastructure. The role requires a strategic mindset, technical excellence, and a passion for leveraging emerging technologies to solve complex challenges in a fast-paced environment. If you are motivated by innovation, eager to work with industry-leading professionals, and committed to continuous improvement, this role offers a unique platform to grow both technically and personally.

Qualifications

The ideal candidate will possess a strong educational background and extensive experience in software and platform engineering. A bachelor’s or master’s degree in Computer Science, Engineering, or a related field is required. You should have at least 10 years of professional experience in designing and implementing scalable, reliable software systems, with a focus on cloud infrastructure and AI platforms.

Proficiency in developing APIs and microservices, along with deep expertise in Kubernetes, Helm charts, Kustomize, and CRDs, is essential. Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and containerization technologies like Docker and containerd, is mandatory. Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD, and infrastructure as code (IaC) tools like Terraform or CloudFormation, is also required.

Strong knowledge of networking, security policies, and API gateways within cloud environments is necessary. Programming skills in languages such as Rust, C++, and Python, especially with data science tools like PyTorch, Jax, and Numpy, will be highly advantageous. Additionally, experience working in Agile teams, excellent collaboration skills, and a problem-solving mindset are crucial for success in this role.

Responsibilities

Design, develop, and maintain a next-generation scalable AI platform that supports BlackRock’s investment management and analytics ecosystem. Build and manage Kubernetes clusters for deploying AI models efficiently and securely across cloud environments. Develop platform abstractions to facilitate cloud-native infrastructure management on AWS, GCP, or Azure.

Create and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, ensuring compliance with enterprise security standards. Collaborate with cross-functional teams to refine business and technical requirements, translating them into actionable tasks.