KYC Platform Engineer – AI‑Assisted & Real‑Time Data

Goldman Sachs Group, Inc.; Hinoba-an; On-site; PHP 700,000 - 1,000,000; Full time

Job summary

Goldman Sachs is seeking a software engineer to join The Core Engineering team, a global group delivering mission-critical software solutions. The role involves collaborating across sponsors, users, and engineering teams to build end-to-end systems using Java, JavaScript, TypeScript, React, APIs, GraphQL, and big data technologies.

You will apply AI-assisted tools to accelerate development, test generation, and code quality while adhering to SDLC standards and regulatory requirements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 1+ years of professional software development experience.
• Expertise in Java development.
• Experience in automated testing and SDLC concepts.
• Ability to articulate ideas clearly in meetings and on paper.

Responsibilities

• Partner globally with sponsors, users, and engineers to create end-to-end solutions.
• Learn from experts and leverage varied technologies (Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes).
• Innovate and incubate new ideas; work on diverse problems with large data sets, real-time processing, messaging, workflow, and UI/UX.
• Participate in the full software lifecycle: define, design, implement, test, deploy, and maintain across products.

Skills

Java development

Automated testing

SDLC concepts

AI tooling

UI/UX development

API design

Relational databases

Stakeholder influence

Problem solving

Education

Bachelor's or Master's degree in CS/CE

Tools

GitHub Copilot

Claude Code

Devin

AI-assisted code review tools

Job description

Goldman Sachs is seeking a software engineer to join The Core Engineering team, a global group delivering mission-critical software solutions. The role involves collaborating across sponsors, users, and engineering teams to build end-to-end systems using Java, JavaScript, TypeScript, React, APIs, GraphQL, and big data technologies.

You will apply AI-assisted tools to accelerate development, test generation, and code quality while adhering to SDLC standards and regulatory requirements.