About this role
Your Team
The Production Engineering team within Aladdin Engineering delivers the secure, resilient, and scalable platform capabilities that power critical engineering workflows across the Aladdin ecosystem. We are at the forefront of modern platform operations, combining automation, observability, and applied artificial intelligence to improve how engineers build, operate, and support technology at scale. As AI becomes increasingly embedded in engineering practices, our team is shaping the next generation of operational excellence through intelligent tooling, self-service experiences, and secure platform services that enhance reliability, accelerate innovation, and improve developer productivity.
Your Role and Impact
As an AI Platform Reliability Engineer, you will help define the future of AI-enabled platform operations within Aladdin. You will design and operate highly reliable services, develop intelligent automation, and build AI-assisted capabilities that make complex systems easier to manage and support. Working at the intersection of platform engineering, secrets management, observability, and applied artificial intelligence, you will deliver solutions that reduce operational overhead, improve system resilience, accelerate incident response, and empower engineers with faster access to knowledge and insights. Your work will directly influence platform reliability and the engineering experience across a broad technology landscape.
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:
- Design, build, and operate reliable platform services through automation, infrastructure-as-code, continuous delivery practices, Python-based workflow automation, and secure secrets-management lifecycle capabilities.
- Develop and operate AI-assisted platform capabilities, including retrieval-augmented knowledge solutions, operational diagnostics, engineer self-service experiences, and the supporting data ingestion and retrieval pipelines.
- Monitor and analyze system health, performance, and capacity using observability tools and perform root-cause analysis for platform incidents.
- Participate in on-call rotations supporting production systems and drive continuous improvement through automation and AI-driven reduction of operational toil.
- Support disaster recovery planning and execution, application onboarding, platform upgrades, and change management for services using centralized secrets and secure configuration capabilities.
- Ensure automation and AI-enabled solutions are secure, explainable, production-ready, and aligned with enterprise and regulated-environment requirements.
Your Experience
- Bachelor’s degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field.
- Strong Python development experience for automation, systems analysis, and integration with AI tooling.
- Experience with cloud platforms, including Amazon Web Services (AWS) and Microsoft Azure.
- 4+ years of Hands-on experience with infrastructure-as-code and configuration-as-code practices.
- Experience using monitoring, observability, and operational analytics tools.
- Foundational understanding of Artificial Intelligence (AI) and machine learning concepts, particularly within automation, observability, or developer productivity domains.
- Experience working with Linux-based environments, enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling, retrieval-augmented generation solutions, vector databases, AI assistant frameworks, high-availability architectures, or large-scale technology environments.
Preferred Qualifications
- Experience within financial services or other highly regulated technology environments.
- Experience building, operating, or supporting AI-enabled internal developer platforms and engineering productivity solutions.
- Certification or practical experience with enterprise secrets-management platforms.
- Relevant cloud certifications are beneficial.

For Wilmington, DE Only the salary range for this position is USD$110,000.00 - USD$138,000.00 . 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.
