The Core Engineering- Software Engineering - Associate - New York

WHAT WE DO

At Goldman Sachs, our Engineers don’t just make things – we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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.

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

To ensure uncompromising accuracy and timeliness in the delivery of firmwide metrics and reporting that support Goldman Sachs’ decision making process, our data platform is continuously growing and evolving. The Core Data Architecture Engineering combines the principles of Computer Science and Data Engineering to process large volume of data from multiple sources across the firm and ensure its integrity and availability for enrichment into a consumable data model. The Core Data Architecture Engineering has an opportunity for an Associate level Software Engineer to work across a broad range of applications and extremely diverse set of technologies to keep the platform operating at peak efficiency.

As an Engineer in the organization, you will work with a global team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Python, Cloud computing, HDFS, Spark, S3, ReactJS, Sybase IQ, Snowflake among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, enriching it, ensuring integrity, transforming it into a consumer model for use by diverse consumer types, including the new generation of AI use cases and MCP tools.

WHAT WE LOOK FOR

How You Will Fulfill Your Potential

• This role is for a Senior Developer in large projects across a global team of data platform engineers
• You will apply your prior experience and expertise at a large bank or financial institution, and ramp up very quickly to work with the global team
• Performance tune applications to improve memory and CPU utilization.
• You will facilitate robust utilization of the firm’s Data Platform capabilities by the different functional domains as a SME
• Utilize web development technologies to facilitate application development for front end UI used for firm wide usecases
• Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems.
• Interact with business and engineering users to help resolve issues with applications.
• Design and support batch and streaming processes for data validation and enrichment and further distribute data to other systems.
• Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations.

Skills And Experience We Are Looking For

• Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline
• 3-5 years’ experience working in a large investment or retail bank, or a comparable financial institution.
• Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team
• Comfortable with working with multiple programming languages, including learning proprietary software coding when required
• Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant), AWS deployment stack
• Experience with one or more major relational / object databases.
• Should be ready to work in GS proprietary technology like Slang/SECDB
• An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles).
• Knowledge and experience in distributed computing
• Knowledge of SDLC and experience in working through entire life cycle of the project from start to end

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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.