Data Platform DevOps Engineer, Software Engineering – Data Engineering

Your team

Data is at the core of the Aladdin platform and is central to how we deliver investment and technology solutions. The Data Engineering team is responsible for the data ecosystem within BlackRock, building high-performance data pipelines, enabling data discovery and consumption, and continually evolving data storage capabilities. The Enterprise Data Platform team extends data lifecycle management practices across structured, semi-structured, and unstructured data domains, helping investors, operations teams, data scientists, and platform users access high-quality data at scale.

Your role and impact

As a Data Platform DevOps Engineer in Software Engineering, you will help build, operate, and improve the cloud-native infrastructure that supports Aladdin’s Enterprise Data Platform. You will contribute to scalable, reliable, and secure infrastructure for data processing, analytics, artificial intelligence (AI), machine learning (ML), and developer self-service capabilities. This hands-on engineering role focuses on automation, platform reliability, observability, and continuous improvement of production systems that support critical data platform capabilities.

Your responsibilities

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 embrace the curiosity to explore new approaches and technologies while challenging outcomes. The scope of this role also includes the following responsibilities:

• Support the deployment, automation, and operation of cloud-native infrastructure using Infrastructure as Code and modern container orchestration platforms across public and private cloud environments.

• Partner with engineering teams to enhance platform security, scalability, reliability, networking, access management, and operational efficiency.

• Build and improve deployment automation, Git-based delivery workflows, and operational tooling using modern continuous integration and continuous delivery (CI/CD) and scripting practices.

• Develop self-service platform capabilities while supporting observability, incident response, and production operations.

• Contribute to platform reliability through performance optimization, capacity planning,