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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 The Cloud Network Security Engineer is responsible for automating, designing, implementing, and maintaining secure networking environments across public, private, and hybrid cloud platforms. This role ensures confidentiality, integrity, and availability of data and services by applying advanced security principles, and compliance standards. 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 Architecture & Design Develop secure network architectures for hybrid & multi cloud environments (AWS, Azure, GCP). Architect robust security solutions for containerized applications. Implement network segmentation, micro-segmentation, and zero-trust principles. Design end-to-end encrypted connectivity patterns. Design secure network architecture for containerized environments i.e. Open Container Initiative (OCI) container packaging and runtime Design scalable / dynamic security patterns, leveraging tag & identity-based attributes. Security Implementation Configure and manage cloud-native firewalls, security groups, network ACLs and network security appliances. Deploy intrusion detection/prevention systems and threat monitoring tools. Operations & Monitoring Monitor cloud network traffic for anomalies and potential breaches. Remediate vulnerability assessments and penetration testing on cloud networks. Respond to and investigate cloud security incidents. Automation & Optimization Strong understanding of Infrastructure as Code (IaC) tools and CI/CD pipelines for secure deployments. Automate security policy enforcement and configuration management. Proficient in scripting with Python to automate network tasks, build integrations, and manage workflows. YOU HAVE… Required Skills & Qualifications Excellent collaboration skills to work effectively across teams, along with strong verbal and written communication abilities. Expertise in network security protocols (IPSec, TLS, MacSec, etc.) and encryption standards. Experience with cloud networking services: VPC, VNets, Subnets, Load Balancers. Proficiency with IaC Tools and Frameworks: Comfortable working with tools such as Terraform, Ansible to automate infrastructure provisioning and security configuration Proficient in AI tooling & innovation Preferred Tools & Technologies Infrastructure as Code (IaC) tools for provisioning cloud resources., Automation tools for configuration management and deployment, Python scripting. Git/GitHub/GitLab for version control. SIEM tools (Splunk) for monitoring. Ensure compliance with regulatory frameworks (ISO 27001, SOC2, GDPR). Cloud-Native distributed containerized microservice orchestration Network Policies, Istio, Calico. Strong knowledge of networking protocols (BGP, OSPF). Understanding of Open Container Initiative (OCI) container image packaging and runtime/Netconf-yang/Linux/ API programming /JSON /XML /GitHub. Certifications preferred: AWS Certified Security Specialty, Azure Security Engineer Associate, Certified Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling Security Specialist (CKS), CISSP or CCSP. Experience 5+ years in cloud network engineering and security. Hands-on experience with hybrid cloud connectivity and secure design patterns. Strong analytical and problem-solving abilities. Excellent communication and documentation skills Preferred skills Work closely with DevOps, Cloud Engineering, and Security Operations teams to deliver key projects. Provide technical guidance and documentation for security best practices. Excellent collaboration skills to work effectively across teams, along with strong verbal and written communication abilities. For New York, NY Only the salary range for this position is USD$162,000.00 - USD$200,000.00 . 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.

About this role About BlackRock: BlackRock is the world’s leading asset management firm and Aladdin is the central nervous system for investment professionals to see their whole portfolio, understand risk exposure, and act with precision. It is a $1BN+ technology business that has significant growth aspirations over the next five years. Sitting at the intersection of business and technology, the Aladdin Product Management team partners closely with engineering, research, and client-facing teams to design and deliver products that shape financial markets. About the Role: As a Director on the Studio Developer team, you will operate as an enterprise leader responsible for setting product strategy, driving cross-platform outcomes, and ensuring delivery at scale. You will lead Studio Developer, Aladdin’s platform for extending and automating workflows, shaping how users build, adapt, and run custom workflows in a governed, enterprise-ready way, while leading large, complex initiatives and influencing senior stakeholders to translate vision into measurable client and commercial impact. You are: An enterprise leader who can set direction and drive alignment across Product, Engineering, Sales, and senior stakeholders Accountable for outcomes, with a strong bias for action and delivery at scale Deeply client-oriented, with the ability to translate client needs into strategic product decisions AI-practical, using AI tools to accelerate product development, with clear judgement on where AI delivers real, scalable value Comfortable operating in ambiguity and making clear, timely decisions A strong communicator who can influence at the most senior levels and represent the platform externally A builder of teams and talent, developing the next generation of product leaders Primary Responsibilities: Set and evolve the vision for Studio Developer as Aladdin’s extensibility layer, enabling customization and automation within the platform while preserving the integrity of core functionality Drive platform adoption and scale, partnering closely with BlackRock and other key users to identify high-value use cases, scale repeatable patterns, and reduce off-platform development risk Lead and develop a high-performing, cross-functional team across product, engineering, and operations, with clear priorities, accountability, and a high bar for execution Establish and drive platform standards and long-term direction, aligning teams so custom development scales in a governed and operationally sound way Provide platform and technical leadership across governance, transparency, and controls, embedding these directly into the developer experience Translate internal success into client adoption, shaping how Studio Developer is positioned and scaled externally Skills/Qualifications: 12+ years of experience in product, platform, or technology roles, ideally in complex, client-facing environments Strong technical foundation, with prior experience in software engineering or a related technical discipline strongly preferred Experience leading platform or developer-facing products, including driving adoption and scaling usage across organizations Proven ability to lead across teams, align multiple stakeholders, and balance near-term delivery with long-term platform direction Strong commercial and client orientation, with experience evolving internal capabilities into scalable, client-facing offerings Deep understanding of developer platforms, including APIs, SDKs, and deployment in a governed enterprise environment Familiarity with modern developer workflows and AI-assisted tooling, with sound judgment on how to deploy these responsibly at scale Strong relationship management and executive communication skills, including the ability to challenge, set boundaries, and clearly articulate strategy, trade-offs, and outcomes For New York, NY Only the salary range for this position is USD$215,000.00 - USD$275,000.00 . 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.

About this role About the Role We are looking for a Data Engineer to join BlackRock’s Information Security organization, supporting the design, build, and operation of our Cloud‑native data platform that power critical technology, security, and operational use cases across the firm. This role sits within a team responsible for building reliable, secure, and observable data pipelines in a highly regulated environment. You will work closely with technology, operations, and information security partners to deliver data products that enable transparency, automation, and risk‑informed decision making at scale. The ideal candidate is an engineer at heart—comfortable working end‑to‑end across ingestion, transformation, orchestration, and governance—who values clean design, strong documentation, and operational excellence. What You’ll Do Design, build, and maintain AWS‑native data pipelines for batch and event‑driven workloads, with a focus on reliability, scalability, and security. Develop and operate data workflows using Apache Airflow for orchestration and Python and SQL for transformation and data quality logic. Implement data transformations and models using modern analytics engineering practices (e.g., dbt‑style patterns, tested transformations, incremental processing). Integrate data from a variety of enterprise sources, including cloud services, internal platforms, APIs, and security/operational telemetry. Partner with Information Security, Risk, and Operations teams to translate business and control requirements into durable data solutions. Embed data quality, lineage, and observability into pipelines using testing frameworks and monitoring standards. Operate within BlackRock’s cloud security and governance standards , including IAM, encryption, logging, and secrets management. Contribute to CI/CD pipelines, infrastructure‑as‑code patterns, and standardized platform tooling. Document data products, pipelines, and operating procedures to support transparency and long‑term maintainability. Participate in design reviews, code reviews, and incident/post‑incident analysis to continuously improve platform resilience. Core Technologies You’ll Work With AWS : S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch, and related native services Orchestration : Apache Airflow Languages : Python, SQL Data Modeling & Transformation : Analytics‑engineering patterns (e.g., dbt‑like workflows) Data Quality & Testing : Schema and data validation frameworks (e.g., Great Expectations‑style approaches) Infrastructure & Delivery : CI/CD, Git‑based workflows, infrastructure‑as‑code (Terraform or equivalent) Security & Governance : Encryption, access controls, audit logging, platform security baselines What We’re Looking For Experience as a Data Engineer , Analytics Engineer, or similar role building production data pipelines. Strong hands‑on experience with AWS‑native data services in a regulated or enterprise environment. Proficiency in Python and SQL , with an emphasis on readable, testable, and maintainable code. Experience with workflow orchestration (Airflow or equivalent). Solid understanding of data modeling, incremental processing, and performance optimization. Familiarity with data quality, monitoring, and operational support for production data systems. Experience collaborating with cross‑functional partners (e.g., security, operations, product, or risk teams). A disciplined approach to documentation, change management, and incident response. Nice to Have Experience supporting security, risk, or compliance data domains . Exposure to OpenSearch / Elasticsearch , metrics pipelines, or log‑analytics platforms. Familiarity with cloud security controls , IAM design, and secrets management. Experience building data platforms that support executive‑level reporting or regulatory oversight. 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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role About this Role:At BlackRock, technology is the foundation of our business. As an Backend Engineer, you’ll build resilient systems that power our global post-trade operations. You’ll design and deliver enterprise-scale software with a focus on reliability, performance, and clean engineering practices.This role is ideal for engineers who like to innovate and solve complex challenges while fostering a culture of excellence and continuous improvement. About Post Trade Accounting (PTA): A major strategic area within Aladdin and one of BlackRock’s largest engineering investments. Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations. Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and distributed event streaming and messaging platforms to manage high-volume, real-time data. Collaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities. Agile and collaborative environment that values technical depth, quality, and innovation. Key Responsibilities: Design and develop robust, high-performance back-end systems using Java 11+ and the Spring Boot ecosystem. Take active part in design discussions, code reviews, and architecture sessions with a hands-on approach. Build and maintain microservices and event-driven systems to process and distribute large-scale financial data. Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms. Implement and optimize Redis-based caching and data stores for low-latency access patterns. Contribute end-to-end; when needed, take on lightweight UI updates, leveraging AI-assisted coding tools and support from front-end teammates. Champion best practices for code quality, testing, automation, and performance tuning. Elevate technical craftsmanship, problem-solving, and design thinking skills. Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes. Qualifications / Competencies: B.S./M.S. in Computer Science, Engineering, or related discipline. 4+ years of professional experience in Java and object-oriented design. Strong knowledge of Spring Boot, REST APIs, and enterprise integration patterns. Deep expertise in SQL Server, including stored procedures, performance tuning, and data modeling. Experience with Redis for caching or data persistence. Hands-on exposure to distributed event streaming and messaging platforms or similar publish-subscribe systems for real-time event processing. Familiarity with Snowflake and data pipeline concepts (ETL, batch vs. streaming). Familiarity with Front End technologies (Angular or React; JavaScript/TypeScript; HTML/CSS) is preferred. Experience with Agentic coding and general understanding of how LLMs are working Strong focus on clean architecture, maintainability, and production readiness. Excellent communication Nice to Have: Experience with Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, Open Container Initiative (OCI) container image packaging and runtime, or cloud-native environments (AWS/GCP). Exposure to observability tools (metrics collection, Grafana, Open Telemetry). Scripting experience in Python for automation or data analysis. Exposure to Prompt Engineering and Agentic AI Interest in financial systems, accounting, or investment technology. For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . 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.

About this role BlackRock is one of the world’s leading providers of investment, advisory, and risk management solutions, including Aladdin, our investment and risk management technology. Aladdin is a comprehensive technology platform used by BlackRock and delivered to our clients to unify the investment management process across public and private markets. It integrates risk, investment, and client management processes through a common data language, enabling scale, insights, and business transformation. At BlackRock, the Aladdin team comprises the Aladdin Client Business, Aladdin Wealth Tech, Aladdin Product, Aladdin Data, and Aladdin Engineering. Join our AI Platform Engineering team as part of Aladdin Engineering and be at the forefront of financial technology innovation. Aladdin Engineering is the team that designs, builds, and runs Aladdin. Within Aladdin Engineering, there are multiple engineering teams focused on building the different products and platform services for Aladdin. As part of the AI Platform Engineering team, you will play a crucial role in shaping the AI ecosystem across the firm and significantly influencing the Aladdin application ecosystem. We are looking for highly motivated and determined engineers to set and drive a clear AI Software Strategy, delivering cohesive AI experiences across the firm. At BlackRock, you will have the opportunity to work with some of the brightest minds in the industry, leveraging your insights and expertise to advance AI Platform Engineering. We value diversity and believe it is the key to our success, ensuring that your unique skills, curiosity, and passion are nurtured. Join us and grow both technically and personally while working at one of the most recognized financial companies in the world as part of an AI software development team. Key Responsibilities: Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform. Implement and manage Kubernetes clusters for deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns. Ensure the security and compliance of the platform. Troubleshoot and resolve issues related to platform performance and reliability. Refine business and functional requirements and translate them into scalable technical designs. Apply quality software engineering practices throughout the software development lifecycle. Work with team members in a multi-office, multi-country environment. Stay updated with the latest trends and technologies in AI and cloud engineering. Requirements: B.S./M.S. degree in Computer Science, Engineering, or a related subject area. 10+ years of experience in software and platform engineering. Proficiency in designing and building scalable APIs and microservices. Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in containerization technologies (Docker, containerd). Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD). Knowledge of infrastructure such as code (IaC) tools like Terraform or CloudFormation. Solid understanding of networking concepts, security policies, and API gateways in cloud environments. Proficiency in production-grade programming languages such as Rust and C++. Decent understanding of distributed systems, cluster orchestration and management. Good knowledge of data science tools (e.g PyTorch, Jax, Numpy) and programming languages such as Python. Experience with monitoring tools (Prometheus, Grafana). Experience working in Agile development teams with excellent collaboration skills. Grit in the face of technical obstacles. Nice to have: Building SDKs or client libraries to support API consumption. Knowledge of distributed data processing frameworks (Spark, Dask). Understanding of GPU orchestration and optimization in Kubernetes. Familiarity with MLOps and ML model lifecycle pipelines. Experience with AI model training and fine-tuning. Familiarity with event-driven architecture and messaging frameworks like Kafka. Experience with NoSQL datastores like Cassandra. For New York, NY Only the salary range for this position is USD$220,000.00 - USD$275,000.00 . 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.

About this role Senior AI Platform Engineer, VP / DIR We are looking for a Senior AI Platform Engineer to help build and scale the firm's AI platform. This role sits at the intersection of artificial intelligence, software engineering, and platform architecture, with responsibility for delivering the shared services and frameworks that enable teams across the firm to build, evaluate, deploy, govern, and operate AI applications safely and efficiently. You will work across foundational AI platform capabilities including agent runtimes and frameworks, evaluation systems, observability, guardrails, retrieval infrastructure, and governance controls. The role requires strong software engineering fundamentals, hands-on Python development, and the ability to turn rapidly evolving AI technologies into reliable, reusable, enterprise-grade platform services. This is initially a senior individual contributor role with substantial technical leadership responsibilities. The role may expand into broader leadership over time, including mentoring, team formation, and potential people management. Key Responsibilities Design, build, and operate the firm’s AI platform: shared services, APIs, SDKs, and tooling that enable secure, consistent AI adoption. Drive architecture across scalability, reliability, security, developer experience, and cost; define clear abstractions across application, framework, runtime, and infrastructure layers. Build platform capabilities for LLM and agentic systems (orchestration, tool integration, memory, workflow execution, runtime management). Develop retrieval and knowledge-access services supporting RAG and related patterns. Implement evaluation frameworks to measure quality, reliability, safety, and business outcomes; use telemetry to prevent regressions and drive continuous improvement. Build observability for tracing, metrics, logs, sessions, and execution history; deliver operational monitoring and diagnostics. Implement guardrails for policy enforcement, risk mitigation, tenant isolation, and governance. Write high-quality production code; establish strong engineering practices (testing, code review, CI/CD, documentation, operational ownership). Operate reliable cloud-native services with monitoring, incident response, performance management, and capacity planning. Lead complex technical initiatives end-to-end; mentor engineers and help shape platform standards and roadmaps. Potential people leadership as the team scales. Required Qualifications 6+ years of software engineering experience with ownership of production services, platforms, or distributed systems. Advanced proficiency in Python and strong software engineering fundamentals. Deep knowledge of software architecture, service design, APIs, data modeling, concurrency, and distributed systems. Experience building, deploying, and operating cloud-native services (Azure or similar). Proficiency in testing strategies, CI/CD, observability, reliability engineering, and secure SDLC practices. Proven track record leading ambiguous, cross-functional initiatives and delivering maintainable production systems. Excellent written and verbal communication; able to explain architectural decisions to technical and non-technical stakeholders. Preferred Qualifications (Strong Plus) Hands-on experience building production AI or generative AI platforms and services. Experience with LLMs, agent frameworks, tool use, orchestration, memory, and retrieval-augmented generation architectures. Experience designing AI evaluation frameworks, benchmarks, regression testing, or quality measurement systems. Experience building guardrails, responsible AI controls, governance capabilities, or safety and reliability mechanisms. Experience with agent observability, distributed tracing, telemetry, and execution-history storage and retrieval. Practical Rust experience, particularly for high-performance, reliable, or systems-oriented platform components. Experience designing shared developer platforms, SDKs, or self-service capabilities used by multiple engineering teams. Experience mentoring engineers, acting as a technical lead, or helping grow an engineering team. Exposure to financial services or another regulated environment is beneficial but not required . What Success Looks Like in This Role Engineering teams can build and deploy AI solutions faster by using reliable, well-documented platform capabilities you help create. Evaluation, observability, guardrail, and agent-runtime capabilities become reusable platform services adopted across multiple use cases. The platform provides clear abstractions, production-grade reliability, and a strong developer experience without compromising governance requirements. You become a recognised technical leader who shapes AI platform architecture, engineering standards, and delivery priorities. Y ou help grow the team and can take on broader technical or people leadership responsibilities. The salary range for Hungary is 20,100,000 - 32,400,000 HUF 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 employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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 Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About this role Are you passionate about building high-quality, scalable technology that powers global financial markets? Do you enjoy shaping automation strategies, influencing engineering practices, and raising the quality bar across teams? This role offers an exciting opportunity to work on BlackRock’s investment operating system, Aladdin, a platform used by thousands of investment professionals worldwide. As part of the Aladdin Engineering organization, you will play a critical role in defining and driving the quality engineering and automation strategy for complex, distributed systems operating on a global scale. You will work closely with engineering, product, and business partners, acting as a Quality Engineering automation, ensuring quality is embedded throughout the software development lifecycle. About you Quality Ownership & Strategy Act as a Quality Engineering Subject Matter Expert, owning quality attestations and signoff for production releases. Define and evolve test automation and quality engineering strategy aligned with product architecture and business goals. Champion best practices in quality, testability, and automation across engineering teams. Test Design & Automation Design, develop, and maintain scalable, reliable automated test frameworks and suites (UI, API, data, and nonfunctional). Craft comprehensive test scenarios based on functional and nonfunctional requirements, including performance, resilience, and data validation. Drive a strong shift left testing mindset through early test design, automation, and collaboration. Delivery & Agile Execution Lead functional, nonfunctional, and regression testing activities across projects and releases. Work within an Agile delivery model, actively participating in sprint planning, execution, reviews, and retrospectives using Azure DevOps. Track and communicate testing progress, quality metrics, risks, and delivery impacts to stakeholders. Production Quality & Continuous Improvement Analyze production incidents and defects to identify root causes and actionable improvements for QA and Engineering teams. Partner with development teams to improve test coverage, reduce defect leakage, and increase production stability. Continuously improve QA processes, tooling, and reporting. Collaboration & Leadership Collaborate closely with developers, product owners, and platform teams across regions. Provide guidance, mentorship, and technical leadership to QA engineers within the team. Influence quality outcomes through strong communication, data driven insights, and hands-on engagement. Qualifications Bachelor’s or master’s degree in computer science, Software Engineering, Electrical Engineering, Mathematics, or a related technical field, or equivalent degree or experience in Computer Science, Engineering, or a related field. 6 + years of experience in Quality Engineering / Test Automation roles, preferably within financial services or complex enterprise systems. Skills & Experience Strong experience in senior QA, automation, ideally within financial services, asset management, or similar regulated environments. Solid understanding of investment management systems, risk, regulatory, or data intensive platforms (preferred). Handson coding experience in at least one modern programming language (e.g., Java, C#, Python, TypeScript/JavaScript), with the ability to design and maintain production grade test automation code. Deep knowledge of test automation frameworks, tools, and design patterns. Strong experience with API testing, data validation, and distributed systems. Good foundation in RDBMS, SQL, and application/infrastructure concepts. Experience with performance testing tools and methodologies (e.g., JMeter or similar). Proven ability to define and lead QA initiatives that drive measurable quality improvements. Strong analytical, problem-solving, and troubleshooting skills. Excellent communication and leadership skills, with the ability to influence Cross functional teams. Self-driven, proactive, and comfortable operating in a fastpacked, evolving environment. Experience working in Agile / DevOps environments. Familiarity with CI/CD pipelines and tooling (Azure DevOps, Jenkins, Maven, SonarQube). Experience with BDD / Cucumber. Exposure to AI assisted development or testing tools (e.g., GitHub Copilot, ChatGPT), assisted development or testing tools. Experience with tools such as Postman, SoapUI, or similar API testing platforms. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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 Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About this role About the Role This position sits within BlackRock’s Private Markets Data Engineering (PMDE) team, at the heart of our mission to revolutionize private markets data and technology. As Vice President, you will play a pivotal role in building and scaling our data infrastructure and analytics capabilities as a senior individual contributor and hands-on technical leader. You will work closely with business stakeholders to translate strategic objectives and user needs into actionable data initiatives and technical solutions, operating with direct line management while retaining accountability for technical outcomes. In addition to modern data engineering practices, this role will help shape the next generation of AI-enabled data platforms, including semantic data models, knowledge graph capabilities, metadata-driven architectures, and intent-based data access layers that power AI agents, copilots, and intelligent applications. Key Responsibilities Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions . Lead the design and implementation of AI-ready data platform capabilities including semantic data layers, knowledge graph platforms, vector stores, and metadata-driven architectures . Define and evolve business semantic models, measures, dimensions, ontologies, and governed data products that provide consistent data access across analytics, applications, APIs, and AI workloads. Architect knowledge graph solutions and graph data models that capture complex business relationships and support entity resolution, relationship intelligence, and multi-hop reasoning use cases . Build intent-driven data access patterns that enable AI assistants, agents, and applications to dynamically route requests across structured data, semantic models, graph databases, and unstructured content repositories . Design and develop scalable, reliable data pipelines and analytics platforms, with accountability for end-to-end technical design, data, and long-term sustainability, with a strong focus on Snowflake, SQL, and Python. Influence technical prioritization and solution design based on business impact and strategic alignment, partnering with product and engineering leads. Engage and communicate complex technical concepts to management including making clear architectural recommendations . Collaborate with business stakeholders to translate strategic objectives into actionable data initiatives, ensuring alignment with Preqin’s and BlackRock’s broader vision. Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles. Oversee technical delivery and architectural coherence across initiatives, prioritizing work based on data-driven insights and business outcomes. Promote a collaborative environment, bridge the gap between technical and business teams. Qualifications: Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python. Demonstrated leadership experience in senior technical roles, including leading complex initiatives and providing technical direction to other engineers, with or without direct line management. Experience designing and implementing semantic data models, business ontologies, data products, and metadata-driven architectures. Hands-on experience with Graph Database technologies (Neo4j or equivalent) and graph modeling patterns. Experience building AI-ready data platforms leveraging vector databases, document retrieval systems, and Retrieval-Augmented Generation (RAG) architectures. Strong understanding of enterprise metadata management, data catalogs, lineage, governance, and business glossary concepts. E xperience integrating Large Language Models (LLMs), AI agents, copilots, or agentic workflows with enterprise data platforms. Deep understanding of data architecture, pipeline design, pipeline tooling ( e.g , Airflow , DBT, Snowflake ), and cloud platforms (Azure or AWS preferred). Demonstrated ability to engage and influence stakeholders at all levels, with exceptional communication and interpersonal skills. Experience translating business requirements into scalable technical solutions. Comfortable operating in a fast-paced, dynamic environment, balancing long-term technical direction with immediate delivery needs. Nice to Have Experience working with global teams and multi-language environments. Exposure to Kubernetes and advanced observability practices. Working knowledge of the financial services sector and private capital markets such as private equity, real estate, and infrastructure. 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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.