Goldman Sachs
Software Engineer, Transaction Banking, Data Platform
Goldman Sachs, Dallas, Texas, United States, 75215
Software Engineer, Transaction Banking, Data Platform
At Goldman Sachs, our Engineers don’t just make things – they enable change. We build scalable software and systems, architect low‑latency infrastructure, guard against cyber threats, and use machine learning and financial engineering to turn data into action. Our work creates new businesses, transforms finance, and explores a world of opportunity at the speed of markets.
What We Do Goldman Sachs engineers solve the most challenging and pressing problems for our clients. We innovate in risk management, big data, mobile and more, building solutions that evolve, adapt to change, and thrive in a fast‑paced global environment.
Transaction Banking (TxB) TxB brings innovative solutions to traditional banking and lending. We are a global team of lenders, investors, risk managers, and marketing experts, providing a suite of solutions that help customers meet their financial goals and transform distressed communities through private capital investments and loans.
Data & Analytics Platform Our global engineering team, with pods in New York, London, Bengaluru, and Dallas, designs and develops data‑intensive capabilities using existing and emerging technologies. The platform is built on Java and Python services that inter‑operate with Airflow, Flink, Kafka, GraphQL, REST, AWS services, and vendor and external systems.
Who We Look For You will report to a Data Engineering Lead and contribute to the vision, roadmap, and culture of our data platform. You will develop, test, and roll out data platform features that support critical services such as liquidity analytics, billing, client onboarding, and reporting.
Basic Qualifications
Advanced degree in Computer Science or a similar technical field.
Minimum 3 years of relevant experience with AWS, Terraform, and CI/CD deployment.
Experience with Docker and an orchestrator such as Amazon ECS or Kubernetes.
Experience with Amazon RDS.
Experience with a scripting language such as Bash or Python.
Preferred Qualifications
Experience in Financial Services or Fintech.
Experience managing AWS infrastructure, RDS, CloudWatch, and automation tools.
Experience building, maintaining CI/CD pipelines to streamline deployment.
Ability to automate routine tasks using scripting and configuration management tools.
Experience with Terraform development.
About Goldman Sachs Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York, with offices around the world. We are committed to fostering diversity and inclusion. We provide training, development, benefits, wellness, and personal finance programs to support growth and inclusion at GS.com/careers.
We are committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
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What We Do Goldman Sachs engineers solve the most challenging and pressing problems for our clients. We innovate in risk management, big data, mobile and more, building solutions that evolve, adapt to change, and thrive in a fast‑paced global environment.
Transaction Banking (TxB) TxB brings innovative solutions to traditional banking and lending. We are a global team of lenders, investors, risk managers, and marketing experts, providing a suite of solutions that help customers meet their financial goals and transform distressed communities through private capital investments and loans.
Data & Analytics Platform Our global engineering team, with pods in New York, London, Bengaluru, and Dallas, designs and develops data‑intensive capabilities using existing and emerging technologies. The platform is built on Java and Python services that inter‑operate with Airflow, Flink, Kafka, GraphQL, REST, AWS services, and vendor and external systems.
Who We Look For You will report to a Data Engineering Lead and contribute to the vision, roadmap, and culture of our data platform. You will develop, test, and roll out data platform features that support critical services such as liquidity analytics, billing, client onboarding, and reporting.
Basic Qualifications
Advanced degree in Computer Science or a similar technical field.
Minimum 3 years of relevant experience with AWS, Terraform, and CI/CD deployment.
Experience with Docker and an orchestrator such as Amazon ECS or Kubernetes.
Experience with Amazon RDS.
Experience with a scripting language such as Bash or Python.
Preferred Qualifications
Experience in Financial Services or Fintech.
Experience managing AWS infrastructure, RDS, CloudWatch, and automation tools.
Experience building, maintaining CI/CD pipelines to streamline deployment.
Ability to automate routine tasks using scripting and configuration management tools.
Experience with Terraform development.
About Goldman Sachs Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York, with offices around the world. We are committed to fostering diversity and inclusion. We provide training, development, benefits, wellness, and personal finance programs to support growth and inclusion at GS.com/careers.
We are committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
#J-18808-Ljbffr