About this role
What is Aladdin?
The Aladdin product unites the information, people, and technology needed to manage money in real time at every step in the investment process. Aladdin enables organizations to communicate better, work smarter, see clearer, and move faster in a changing landscape. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide.
What is the Aladdin Product Group?
At the heart of BlackRock, the largest investment management firm in the world, is the Aladdin Product Group. Being a member of the Aladdin Product Group means working with the industry's thought leaders to build innovative and forward looking products that shape the financial markets. The Aladdin Product Group creates next generation technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets, support millions of financial instruments and their risk calculations and process millions of financial transactions for thousands of users every day worldwide.
Site Reliability Engineering
The Site Reliability Engineering team has an intense focus on driving Aladdin's stability, reliability, and scalability to the next level. This team combines software and systems engineering principals and concepts consistent with the Site Reliability Engineering (SRE) discipline.
We are seeking energetic and driven engineers who are looking to help build a diverse and dynamic team. This team will solve complex problems relating to the stability and scale of Aladdin's complex ecosystem.
Design, Develop and Deliver world class software applications to improve Aladdin reliability
Work with development teams to better utilize new operational tools and paradigms
Build new shared components that prioritize performance, scale and resiliency
Engineer and build intelligent monitoring and alerting tools that facilitate self-healing software
Engineer and build comprehensive capacity management and demand forecasting solutions
Build next-gen automation tools utilizing technologies such as Kubernetes
Bachelors or MS degree in Computer Science, Engineering, Mathematics or a related discipline
Expert on Core Java/J2EE with at least 6+ years hands on experience
Expert on frameworks like Spring, Hibernate
Strong database experience
Strong experience with object modeling and architecture
Passion for learning and implementing new technologies
Experience with cloud native patterns such as microservices and observability
Experience with metrics tools like Prometheus and Influx a strong plus
Experience with Kubernetes and Docker a strong plus
Experience with NoSQL databases and Kafka is a strong plus
Excellent analytical and problem-solving skills
Demonstrate ability to be a self-starter and learn quickly
Excellent communication and presentation skills
Strong attention to details and thoroughness
Excellent ability to mentor junior members of the team
Strong ability to effectively influence design and development decisions
BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of June 30, 2019, the firm managed approximately $6.84 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock.
BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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.