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About this role

Company Overview: We are looking for a highly skilled and dynamic individual to join our Production Engineering team within the Aladdin Engineering. This role is perfect for someone passionate about technical troubleshooting, optimizing system performance, and developing innovative automation solutions. In addition to strong expertise in secrets management and automation, this role increasingly focuses on applied AI, including AI-assisted operations and Retrieval-Augmented Generation (RAG)-based assistants, to improve reliability, operability, and developer productivity

Role Overview: As a Reliability Engineer, you will be responsible for ensuring the performance, scalability, and stability of our platforms through automation, intelligent tooling, and AI-assisted workflows. You will build and operate automation and AI-driven solutions that enhance system reliability, optimize operational efficiency, and improve how engineers interact with platforms-particularly around Vault infrastructure and secrets management. This includes leveraging Python, AI frameworks, and data-driven approaches to analyze system behavior, automate diagnostics, and enable self-service capabilities via AI assistants.

Key Responsibilities:

Design, build, and operate reliable, scalable platforms using automation, Infrastructure as Code (Terraform, Ansible), CI/CD, and GitOps practices across cloud and containerized environments.

Automate operational workflows using Python and scripting, including secure configuration and enterprise secrets management lifecycle (provisioning, rotation, access, and recovery).

Develop and integrate AI-assisted operational tooling, including RAG-based assistants, to support incident response, troubleshooting, diagnostics, and engineer self-service.

Build and maintain knowledge ingestion and retrieval pipelines (logs, metrics, runbooks, configuration data) to power AI assistants and intelligent automation.

Monitor and analyze system health, performance, and capacity using observability tools (e.g., logs, metrics, dashboards), and perform root cause analysis for platform incidents.

Participate in on-call rotations, supporting production systems and driving continuous improvement through automation and AI-driven reduction of operational toil.

Support disaster recovery planning and execution, application onboarding, upgrades, and change management for platforms relying on centralized secrets and secure configuration services.

Ensure all automation and AI solutions are secure, explainable, and production-ready, meeting enterprise and regulated-environment requirements.

Required Skills and Qualifications:

Bachelor's degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field.

Strong Python development skills for automation, systems analysis, and integration with AI tooling.

Experience with cloud platforms such as AWS and Azure.

Hands-on experience with Ansible, Terraform, and configuration-as-code practices.

Experience using monitoring and observability tools to track and optimize resource utilization.

Foundational understanding of AI/ML concepts, particularly as applied to automation, observability, or developer tooling.

Preferred Skills:

Experience with Linux-based server environments.

Familiarity with Kubernetes and containerized platforms.

Exposure to RAG architectures, vector databases, or AI assistant frameworks in production or platform contexts.

Prior experience in financial services or large-scale technology environments.

Experience designing systems for high availability, scalability, and fault tolerance.

Good to have:

Azure certification.

Certification or hands-on experience with enterprise secrets management platforms.

Experience building or operating AI-powered internal developer platforms or assistants.

Ideal Candidate: You are a proactive, analytical engineer with a strong foundation in secrets management, automation, and platform reliability, and a growing passion for AI-driven operations. You enjoy applying AI pragmatically-building assistants, automations, and intelligent workflows that reduce toil, improve reliability, and empower engineers at scale. If you are excited about combining automation, AI, and secure platform services to shape the future of production engineering, we would love to speak with you.

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.

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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock| LinkedIn:www.linkedin.com/company/blackrock

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 theEEOC's Know Your Rights poster and its supplementand thepay 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 ourprivacy policy.