Senior Software Engineer, AI-Driven Cloud Platforms

Goldman Sachs Group, Inc.; Hinoba-an; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Goldman Sachs is seeking world-class software engineers for the Limits & Resource Management team within The Core Engineering. You will build enterprise-grade platforms using cloud-native architectures, data modeling, automated analytics, and agentic workflows to support funding and resource management.

Ideal candidates have 7–10 years of development experience in enterprise systems, strong technical leadership, AWS experience, and a track record delivering AI-enabled solutions across

Qualifications

• 7–10 years of development experience in enterprise level systems.

Responsibilities

• Build Scalable Engines: Architect and optimize high-throughput data and calculation processes to generate timely and accurate lending metrics.
• Build Complex Workflows: Engineer highly performant, resilient systems that manage resources and limits seamlessly.
• Architect the Future: Lead the blueprint and execution of next-gen architecture with AI-driven, cloud-first mindset—maximizing resiliency and scalability.
• Provide Hands-On Technical Leadership: Be a hands-on leader, unblocking complex platform uplifts and technical challenges.
• Drive Engineering Excellence & Mentorship: Cultivate engineering excellence and mentor the next generation of engineers.
• Collaborate Cross-Functionally: Partner with quantitative engineers, technical leaders, and product managers to define and execute architecture.

Skills

Leadership

Cloud architecture

AI-enabled products

SDLC practices

Problem solving

Communication skills

Education

Bachelor's degree or equivalent

Tools

AWS

Job description

Goldman Sachs is seeking world-class software engineers for the Limits & Resource Management team within The Core Engineering. You will build enterprise-grade platforms using cloud-native architectures, data modeling, automated analytics, and agentic workflows to support funding and resource management.

Ideal candidates have 7–10 years of development experience in enterprise systems, strong technical leadership, AWS experience, and a track record delivering AI-enabled solutions across