Job description

About this 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. Our teams sit at the center of how Aladdin evolves - partnering across product, data, and engineering to deliver scalable infrastructure that support mission-critical workflows for clients worldwide. We develop AI-first engineering capabilities, using a suite of tools across the development lifecycle to improve developer productivity and reduce friction 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. You’ll pair strong engineering fundamentals with an AI-driven approach to solving problems—leveraging automation, intelligent tooling, and emerging AI capabilities to reduce operational toil, accelerate delivery, and enhance the developer experience. As a technical leader, you will help shape platform strategy, influence architectural direction, mentor engineers, and drive the adoption of next-generation engineering practices that define the future of Aladdin. 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 YOU HAVE… 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 For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our 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. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Requirements

Must-haves

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
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuregcppythonjavagolangmlci/cdmachine learning

Platform: workday
Effort: long