Corporate Treasury-Hyderabad-Analyst-Software Engineering

Job description

FINANCE | Corporate Treasury We're a team of specialists charged with managing the firm’s funding, liquidity, capital and relationships with creditors and regulators. Corporate Treasury manages the firm’s financial resources and minimizes interest expense through liability planning, asset liability management, and liquidity portfolio yield enhancement. The division is ideal for collaborative individuals who have strong quantitative analysis skills and risk management capabilities since Treasury actively manages the firm’s financial resources which are constantly changing due to business activity, markets, risk appetite, regulations and other factors. **Role Overview** As a Full Stack Engineer, you will be a "force multiplier" for the team. You will not only build mission-critical payment services on AWS but also lead the adoption of agentic AI tools (such as **GitHub Copilot, Claude Code, and Devin AI**) to accelerate the SDLC. You will be responsible for designing, coding, and operating end-to-end solutions while mentoring others in AI-assisted engineering patterns. **Key Responsibilities** - **Cloud-Native Development:** Design and implement scalable, secure full-stack applications using **Java (Spring Boot)** and **Python**, deployed as containerized (EKS) or server-less (Lambda) workloads on AWS. - **AI-Augmented Engineering:** Integrate AI tooling into daily workflows—using **GitHub Copilot** for real-time assistance, **Claude Code** for complex architectural reasoning, **Devin AI** for autonomous task execution and PR management and **MCP**. - **Full Stack Ownership:** Build responsive front-end components (React/TypeScript) and robust back-end APIs, ensuring seamless integration with relational (PostgreSQL) and non-relational (DynamoDB, MongoDB) databases. - **Modern SDLC & SecDevOps:** Manage the complete lifecycle using GitLab CI/CD, emphasizing automated testing, security scanning, and rapid, high-quality value delivery. - **Modernization & Refactoring:** Leverage AI agents to accelerate the migration of legacy payment logic into modern, cloud-native microservices. - **Mentorship:** Act as a technical authority, teaching fellow engineers how to effectively prompt, supervise, and validate AI-generated code to maintain enterprise-grade standards. **Required Skills & Experience** **Baseline Engineering** - **Experience:** 4-6 years of professional software engineering experience (Associate level). - **Backend Mastery:** Deep expertise in **Java** and the **Spring Framework** ecosystem. Proficiency in Python for automation and AI integration. - **Frontend Proficiency:** Strong experience with modern JavaScript frameworks, specifically **React** and **TypeScript**. - **Data Systems:** 5+ years working with SQL (relational) and experience with NoSQL databases like **DynamoDB**, **Aurora Postgres**, or **Cassandra**. - **Messaging**: String experience with **MSK**. - **API Design:** Proven track record of designing and delivering RESTful APIs and microservices architectures. **AWS & Cloud-Native Specialization** - **AWS Proficiency:** 2+ years of hands-on experience with AWS services, including **Lambda, ECS/EKS, S3, IAM, KMS, and CloudFormation/CDK**. - **Containerization:** Strong knowledge of **Docker** and **Kubernetes** (EKS) for orchestrating distributed systems. - **Security:** Experience implementing a SecDevOps mindset, including identity propagation and secure secret management in the cloud. **AI-Augmentation & Productivity** - **AI Tooling:** Demonstrated proficiency in using AI coding assistants (e.g., **GitHub Copilot**) and agentic AI (e.g., **Claude Code, Devin AI**) to improve velocity and code quality. - **Prompt Engineering:** Ability to design structured prompts and workflows for AI agents to handle multi-step engineering tasks like unit test generation and documentation. - **Critical Supervision:** Strong ability to critically evaluate AI-generated outputs for correctness, security, and performance. **Preferred Qualifications** - Familiarity with financial messaging standards (e.g., ISO 20022). - Contributions to open-source AI agent frameworks or internal AI-driven automation initiatives. 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. 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. : 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. We Offer Best-In-Class Benefits Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. Holiday & Vacation Policies We offer competitive vacation policies based on employee level and office location. We promote time off from wo