Senior Web Engineer - Customer Service and ES Access Point

Careers at Bloomberg

New York, NY

Posted Sep 19, 2018 - Requisition No. 61801

We are building the next generation of the Bloomberg Customer Service Center (CSC). The Bloomberg CSC is a web-based, “one-stop shop” portal that customers use to place new orders, digitally sign contracts, administer exchange entitlements, and manage their suite of Enterprise products. The Bloomberg Enterprise Access Point (BEAP) portal offers a searchable catalog of Bloomberg datasets which includes its metadata and documentation. Datasets will be clean and tidy, machine readable, and made available via modern and fast REST-based delivery channels to the most powerful financial firms in global markets.

Both of these portals leverage modern web technologies and are built to support the high volume of Bloomberg customers 24/7 across the globe. Being a key contributor throughout the entire SDLC, you will have the opportunity to collaborate closely with product owners, business counterparts, and clients to understand their needs. You will be required to think outside the box and bring cutting-edge technologies in house.

We'll trust you to:

  • Collaborate directly with product owners to understand requirements and conduct feature demos
  • Design, develop, and release high-quality maintainable code
  • Take ownership of products and its technical solutions
  • Bring in best-in-class open-source technologies (with option to contribute back)

You’ll need to have:

  • Professional experience developing at all levels of the application stack (front/UI, middle/Services and backend/DB components)
  • 3+ years of experience developing in JavaScript frameworks like React or AngularJS and Node.js
  • 2+ years of experience building services/REST Apis with C# .Net or Python or C++
  • Professional experience with relational databases with a good understanding of SQL and ORM
  • BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We’d love to see:

  • Experience in Machine Learning (ML) and Natural Language Processing (NLP)
  • Knowledge of web application security and threat mitigation techniques
  • Experience with different Internet browsers, their versions and idiosyncrasies
  • Knowledge of virtualization, containerization and orchestration tools (Openstack, Docker, Kubernetes)
  • Knowledge of continuous integration, testing and deployment tools (Jenkins, Nightwatch, GoogleTest, Chef)
  • Understanding of queuing and caching technologies
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