The Core Engineering- BLR/HYD

Goldman Sachs; Bengaluru; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Goldman Sachs in Bengaluru seeks an Associate Software Engineer to join the Portfolio Risk Platforms team. You will build scalable metrics engines and risk workflows, implementing AI-driven architecture and collaborating with cross-functional teams to uplift risk calculation engines.

The role emphasizes hands-on development, practical problem-solving, and adherence to modern SDLC practices in a cloud-first environment.

Qualifications

• 4+ years of hands-on software development experience building and scaling enterprise-level systems.
• Backend technologies: Java, Spring Boot, Python.
• Expertise in modern SDLC practices (CI/CD, automated testing, code reviews).
• Cloud experience, preferably AWS, with high-availability patterns.
• Experience with AI-enabled tools, platforms, or automated solutions.

Responsibilities

• Build Scalable Metrics Engines to generate timely lending metrics for risk management.
• Engineer Complex Risk Workflows and scalable systems for risk evaluation and credit risk decisions.
• Contribute to next-generation AI-driven, cloud-first architecture for resiliency and growth.
• Write clean, production-grade code and uplift platforms with modern technologies.
• Adhere to SDLC, implement robust tests, and participate in code reviews.

Skills

Java

Spring Boot

Python

CI/CD

Unit testing

AWS

Code reviews

Education

Bachelor’s degree in computer science/engineering or equivalent

Tools

AWS

CI/CD pipelines

Testing frameworks

Job description

Metrics & Analytics Platform - Portfolio Risk Platforms - Associate

Organization

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm’s Risk, Controllers, Compliance, Corporate Treasury, Human Capital Management functions (The Core). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.

Job Description

The Portfolio Risk Metrics & Analytics Engineering team within The Core Engineering designs, engineers, and maintains the high-performance risk workflows and calculation engines that generate critical risk metrics for global risk management teams.

We are seeking a highly skilled Associate Software Engineer to join our dynamic team in Bengaluru. In this role, you will focus on hands-on development, collaborating closely with team members and stakeholders to develop, scale, and maintain the systems driving our risk metrics and workflows.

Responsibilities

• Build Scalable Metrics Engines: Develop and optimize high-throughput, reliable data and calculation processes that generate timely and accurate lending metrics to actively manage and mitigate the firm’s risk exposures.
• Build Complex Risk Workflows: Engineer highly performant, resilient, and scalable systems that empower risk managers to seamlessly evaluate market scenarios, counterparties, assign credit ratings, and define risk appetites.
• Implement Next-Generation Architecture: Contribute to the design and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm’s long-term strategic growth.
• Hands-On Technical Implementation: Actively write clean, production-grade code, implement complex platform uplifts, and resolve technical challenges using modern programming languages and frameworks.
• Adhere to Engineering Excellence: Follow modern SDLC practices, write robust unit tests, and participate in code reviews to maintain high code quality.
• Collaborate Cross-Functionally: Partner closely with quantitative engineers, technical leaders across the broader engineering organization, and product managers to implement and execute our next-generation architecture.

Minimum Qualifications

• 4+ years of hands-on software development experience building and scaling enterprise-level, business-critical systems.
• Strong hands-on experience with backend technologies such as Java, Spring Boot, Python.
• Strong experience working with modern, scalable SDLC practices (CI/CD, automated testing, code reviews).
• Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
• Experience implementing or integrating AI-enabled tools, platforms, or automated solutions.
• Exceptional analytical, debugging, and problem-solving skills.
• A strong appetite and openness to dive into proprietary systems, understand their inner workings, and strategically uplift them.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• Bachelor’s degree in computer science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Prior experience in the financial services industry, with deep domain knowledge in Risk, or Risk Engineering systems.