Director, Cloud Managed Services Engineer

About this role

Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world's most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance?

At Black Rock, we are looking for Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual.

With over USD $8 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing.

Being a developer at Black Rock means you get the best of both worlds: working for one of the most advanced financial companies and being part of an engineering team responsible for next generation technology and solutions.

Team Overview

This position requires a unique blend of hands-on systems knowledge, software development skills and team leadership.

We are in search of a Principal Engineer to help lead Compute engineering. This role requires a visionary leader and hands-on builder who is also able to collaborate globally to drive architecture and engineering excellence across the breadth of our organization. We seek a multi-disciplinary expert with a strong desire to mentor and effect organizational change. We require this unique combination as we enhance the platform products and services that we host across multiple clouds for the larger Aladdin engineering community.

Position Overview:

We are seeking a Principal Engineer to join our Platform Engineering Cloud Managed Services team to help us design cloud platforms for mass adoption. The ideal candidate has 8+ years of platform engineering experience, including 5+ years working with cloud technologies (AWS, Azure, GCP), with a background in software engineering. This role focuses on designing and managing multi-cloud Platform-as-a-Service (PaaS) solutions, automating infrastructure with tools like Java, Python and Infrastructure-as-Code (IaC) tools, and implementing agentic AI (autonomous AI agents) to optimize cloud operations.

The Senior Engineer will ensure our cloud architecture is scalable, secure, and aligned with best practices, while driving innovation in cloud automation and AI integration.

Key Responsibilities

* Design & Deploy Multi-Cloud Services:
Architect, implement, and manage platform services across AWS, Azure, and GCP, with a focus on PaaS components like object storage and database services. Ensure solutions are scalable, highly available, and cost-efficient while maintaining cross-cloud consistency.

* Infrastructure Automation:
Develop and maintain automation scripts and frameworks using Python and Infrastructure as Code (IaC) tools (such as Infrastructure as Code (IaC) tools for provisioning cloud resources., Cloud Formation). Build CI/CD pipelines to provision and update cloud resources reliably and repeatably.

* API Design & Data Modeling:
Design and maintain robust APIs and underlying data models that enable seamless integration of platform services for mass adoption and scalability. Develop well-documented API endpoints (e.g. RESTful services) to allow internal teams and customers to easily consume platform features. Define and optimize data schemas to ensure consistency, performance, and adaptability as platform requirements evolve.

* Agentic AI Implementation:
Integrate AI-driven automation into cloud operations - for example, implementing agentic AI systems that can monitor environments, make decisions, and take action with minimal human intervention (e.g. auto-remediation bots, intelligent scaling). Leverage these autonomous agents to reduce manual effort and improve platform resilience.

* Cloud Architecture & Security:
Design and review cloud architectures to ensure secure, robust, and compliant solutions across multiple cloud providers. Apply best-practice cloud architecture frameworks to meet security and governance requirements (e.g. identity and access management, network segmentation, data encryption).

* Performance Optimization & Monitoring:
Identify bottlenecks and implement optimizations (e.g. tuning databases or storage configurations) based on performance and reliability metrics. Utilize cloud monitoring tools and AIOps techniques to predict and prevent issues.

* Cross-Team

Collaboration:

Work closely with product engineering, core infrastructure, and security teams to understand requirements and integrate cloud services smoothly. Mentor junior engineers and share cloud best practices within the team. Coordinate with vendors and cloud provider support as needed to resolve complex issues.

* Innovation & Continuous Improvement:
Stay up-to-date with emerging cloud technologies and services (including new PaaS offerings and AI tools). Evaluate and…