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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 .

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Privacy Engineering

The Privacy Platform team is a part of the Product Management and Privacy business unit within Goldman Sachs Core Engineering team. The team aims to preserve and enhance the firm's collective capability to protect personal information through coordination of engineering efforts to implement privacy by design and security and enabling divisions to implement processes and procedures designed to uphold data protection and privacy principles.

Who We Look For

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.

HOW YOU WILL FULFILL YOUR POTENTIAL

• We are seeking a Software Engineer with excellent software engineering skills.
• The role creates the opportunity for an individual to work on multiple Firmwide projects managed by Privacy Platform to deliver on our privacy strategy and respond to critical regulatory deadlines.
• Role will include:
  • You will be part of the Privacy Platform team, designing and implementing a strategic data architecture and developing applications used across the Firm to support our global privacy strategy and to meet critical regulatory deadlines.
  • You will assess current market offerings and recommend a build or buy approach for the continued build out of our privacy toolset supporting data discovery, classification, workflows and metrics
  • You will use agile practices – working closely with our users, continuous test and deploy, estimating and managing work
  • You will be running projects to deliver significant new capabilities across the Firm, driving discovery and use of data
  • You’ll have impact across the firm as Privacy Engineering will define & rollout procedures and solutions covering topics such as privacy data classification, data discovery and retention and destruction of data
  • You’ll gain experience and knowledge of Privacy Data Engineering, Enterprise Data Management and Technology Risk management
  • You will add to your architecture portfolio, designing and building multi-tier, service oriented platforms

SKILLS AND EXPERIENCE WE'RE LOOKING FOR

• At least 3 years of Java development experience
• At least 2 years of service oriented architecture development experience
• Experience in working on development projects with teams of 3-5 developers
• Independent thinker, willing to engage, challenge and learn
• Appreciates and delivers clear, well tested code
• Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts
• Independent thinker, willing to engage, challenge or learn
• Experience with debugging, troubleshooting, code optimization and issue resolution

IDEAL EXPERIENCE

• Hands on experience with personal data discovery tools (BigID, GlobalID)
• Knowledge of Big data ecosystems (HDFS, Hadoop, Snowflake, S3 etc.)
• Experience with dockerized applications (Kubernetes & Docker)
• Knowledge of Web UI technologies (React)
• Web services development: RESTful APIs; Swagger; Jersey
• Thorough knowledge and experience in all phases of SDLC
• Strong database skills/ Experience with object/non-relational databases (MongoDB, Apache Cassandra, Elastic)
• Proficient in a Unix/Linux environment