AI-Enabled Infrastructure and Systems Engineer

About the role

YOUR TEAM
Aladdin Platform Engineering powers the technology foundation behind BlackRock’s Aladdin platform - a unified system that connects risk, portfolio management, trading, and operations for investors globally. We build the mission critical hosting platform that enable engineers to develop products and operators to run the platform at scale.
YOUR ROLE AND IMPACT
As an AI-Enabled Infrastructure and Systems Engineer, you will combine deep infrastructure expertise with modern software engineering practices to design, build, and operate the platforms that power critical business capabilities. You will develop scalable, secure, and resilient solutions while automating their deployment, configuration, and lifecycle management through Infrastructure as Code, software development, and platform engineering principles. Your work will simplify complex operations, improve reliability, and enable teams to deliver technology faster, more consistently, and at greater scale.

YOUR RESPONSIBILITIES
- Architect and build scalable, reliable, and secure infrastructure across multi-cloud environments (AWS, Azure, GCP) that underpins Aladdin’s platform and application ecosystem
- Design AI focused infrastructure platforms supporting model development, training, evaluation, and inference.
- Lead automation initiatives using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation to support mission-critical workloads
- Apply AI-assisted engineering approaches to reduce toil and enhance how software is built, tested, and operated
- Adopt a product-centric approach, treating internal platforms and automation frameworks as products with clear ownership, lifecycle management, and continuous improvement.
- Collaborate across global teams to solve complex technical challenges and deliver shared platform capabilities
- Contribute to system design, architecture decisions, and technical direction for key components and services
- Own execution and delivery of large-scale projects, balancing hands-on technical work with cross-functional collaboration across engineering, operations, and governance teams.
- Mentor engineers and help foster a collaborative, inclusive, and high-performing engineering culture

Requirements

• 5+ years of experience in infrastructure engineering, building and delivering production-grade systems
• Proven experience in cloud infrastructure, platform engineering, or systems engineering roles.
• Proficiency with Infrastructure as Code‑as‑code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
• Strong programming or scripting skills (e.g., Python, Java, Golang, or similar).
• Hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.
• Familiarity with modern development practices (testing, version control, CI/CD) and scalable system design
• Exposure to cloud-native architectures, microservices, or platform engineering concepts
• Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine-tuning, experimentation over large datasets, and end-to-end MLOps pipeline flow including data ingestion, training, validation and deployment.
• Interest or experience in applying AI/ML tools or AI-assisted development to enhance productivity or user experience
• Proven ability to own components end-to-end, lead technical work, and collaborate effectively across teams
• Strong problem-solving, communication, and curiosity - with an ability to learn quickly in a complex domain

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or related field
• Experience with Kubernetes, Docker, and container orchestration
• Experience with DevOps tools and practices, such as Jenkins, GitLab, and Ansible
• Experience with monitoring and logging tools, such as Prometheus, Grafana, ELK stack, or Splunk
• Experience with cloud-native security practices, such as IAM, encryption, and compliance
• Experience with cloud-native observability tools, such as Datadog, New Relic, or Honeycomb

Skills

• Strong understanding of cloud computing, virtualization, and networking concepts
• Experience with cloud-native architectures, microservices, or platform engineering concepts
• Experience with AI/ML tools and techniques, such as TensorFlow, PyTorch, or Scikit-Learn
• Experience with cloud-native observability tools, such as Datadog, New Relic, or Honeycomb
• Experience with cloud-native security practices, such as IAM, encryption, and compliance

Benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.