Software Engineer, Transaction Banking, Data

4 weeks ago

New York NY United States Goldman Sachs Full time
What We Do

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
Create new businesses, transform finance, and explore a world of opportunity at the speed of markets .

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more
We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment
Want to push the limit of digital possibilities? Start here

Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities
We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists
We provide a suite of solutions to help our customers meet their financial goals
We make direct investments in and manage risk for a portfolio of corporate loans and securities
We help transform distressed communities through investments and loans of private capital

Within TxB, Data & Analytics Platform is a global engineering team with pods across New York, London, Bengaluru, and Dallas
We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies

Who We Look For

As part of our global team you will work on the data platform reporting to a Data Engineering Lead
Your role includes development, test, and rollout of data platform features
Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems

You will be able to contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team

This initiative is of critical importance to the success of the organization and our roadmap
Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform
Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market

We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering

HOW YOU WILL FULFILL YOUR POTENTIAL
  • Develop full stack applications with due consideration to security, design, validation and SDLC framework
  • Collaborate with product managers, business operations, engineers to define product requirements, objectives
  • Participate in system design consulting, platform management
  • Develop resilient, scalable and secure modules using cloud native services
  • Manage multiple tasks and use sound judgment when prioritizing
  • Update and maintain documentation for team processes, best practices and software runbooks
  • Must be passionate about technology and engineering
  • Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions
BASIC QUALIFICATIONS
  • 2+ years of relevant professional experience using a modern programming language (preferably Java)
  • BS degree in Computer Science or related technical field involving programming or systems engineering.
  • Proficiency in development with Java, springboot, REST APIs
  • Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization
  • Proficiency with algorithms, data structures and software design
  • Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking
  • Proven to work independently in a fast paced and often multi-direction work environment
PREFERRED QUALIFICATIONS
  • Experience with development and design of distributed systems
  • Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB)
  • Experience in financial services specifically corporate cash management desirable
  • Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)
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

We believe who you are makes you better at what you do
We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs
Learn more about our culture, benefits, and people at GS.com/careers

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process
Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023
All rights reserved

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience
A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here

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