At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  

 

We are looking for a talented and hands on engineer who can drive the deployment and development the FICC Risk Platform, a global strategic infrastructure for real-time risk computation with distributed computing, as part of the Portfolio Analytics engineering team. The FICC Risk Platform is a highly distributed and resilient state machine that is relied on by Traders and Quants in FICC to provide up-to-date risk data for all their transactions.  Candidate will be interacting with global stakeholders in Trading, Quants, and Engineers on a regular basis to understand business requirements, design and implement quality solutions. 

 

How will you fulfill your potential?

The candidate is responsible for designing and implementing the firm’s strategic vision for the FICC technology stackYou will deliver value by architecting scalable solutions that are primed for reuse across the revenue generating divisions   Proactively engages with stakeholders through the SDLC of the projectsWorks with global teams on projects that will have global impactInfluences current and future architecture choices as we are looking to adopt more modern platformsDemonstrates excellent communication skills including experience speaking to technical and business audiences and working globally

Basic Qualifications

Min 1 year of professional Java/Python development experience Bachelor’s degree in Computer Science, Electrical Engineering or related technical disciplineExcellent understanding of data structures, algorithms, and designing for performanceFamiliarity with automated testing, DevOps and Continuous DeploymentComfortable multi-tasking, managing multiple stakeholders and working as part of a teamStrong communication skills, experience working with end users

Preferred Qualifications

Experience in NoSQL data stores, e.g. Cassandra or MongoDBExperience with distributed, event driven systems and using messaging protocolsExperience in modern message oriented middleware, e.g. Kafka or RabbitMQExperience in building and debugging distributed systemsExperience in developing software for Akka or VertxExperience in SRE   ABOUT GOLDMAN SACHS
  At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
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