The Core Engineering-L2-Hyderabad-Vice President-Software Engineering

Candidate Experience Site - Lateral; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Goldman Sachs is seeking a Vice President and hands-on Engineering Manager to lead critical Legal Division applications and services. You will set technical direction, grow engineering talent and stay close to architecture, code and delivery to translate business priorities into a clear roadmap and dependable solutions.

You will mentor analysts and engineers, own end-to-end delivery, and drive improvements in reliability, usability and user experience while leveraging AI-assisted tooling and

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering or closely related field.
• 7–9 years of professional software development experience with leadership of engineers or teams.
• Deep knowledge of software engineering fundamentals, system design, distributed systems, APIs, databases, testing, CI/CD.

Responsibilities

• Lead, mentor and develop engineers while establishing clear expectations and engineering practices.
• Own delivery across full software development lifecycle, including planning, design, implementation, testing and deployment.
• Remain hands-on through architecture reviews, code reviews, troubleshooting and targeted implementation.
• Champion AI-assisted development tools and evaluate AI-generated code for correctness, security and performance.
• Partner with legal professionals, product managers and other stakeholders to translate business needs into practical solutions.
• Own the application-support model and drive reliability and user experience improvements.

Skills

CS degree leadership

Hands-on leadership

Full lifecycle delivery

Cloud-native systems

AI-assisted development

Education

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

Tools

Java

TypeScript/JavaScript

React

Python

Kubernetes

GitHub Copilot/Claude Code/Devin

Job description

ABOUT LEGAL ENGINEERING

The Legal Division advances and protects the interests of the firm by providing high-quality legal advice and helping identify and address legal, regulatory and reputational risk. Legal Engineering supports this mission by designing, building and operating user-facing, workflow, data and AI-enabled platforms that help legal professionals work effectively and make well-informed decisions.

Our engineers work directly with legal professionals and cross-functional partners. We combine modern software engineering, cloud platforms, data capabilities and responsible artificial intelligence to solve complex problems in a controlled environment.

YOUR IMPACT

As a Vice President and hands-on Engineering Manager, you will lead an engineering team responsible for critical Legal Division applications and services. You will establish technical direction, develop engineering talent and remain close to architecture, code and delivery. You will be accountable for translating business priorities into a clear roadmap, delivering dependable solutions and ensuring that supported applications meet users’ day-to-day needs.

HOW YOU WILL FULFILL YOUR POTENTIAL

• Lead, mentor and develop Analyst and Associate engineers while establishing clear expectations, strong engineering practices and a culture of accountability, collaboration and continuous learning.
• Own delivery across the full software development lifecycle, including planning, spec-driven design, architecture, implementation, testing, deployment, production support and continuous improvement; manage priorities, dependencies, risks and commitments.
• Remain hands-on through architecture and design reviews, code reviews, troubleshooting and targeted implementation, ensuring solutions are secure, resilient, observable, maintainable and scalable.
• Champion disciplined use of AI-assisted development tools such as Devin, GitHub Copilot and Claude Code to accelerate delivery while preserving engineering ownership; critically evaluate and refine AI-generated solutions for correctness, security, privacy, performance and suitability for the problem being solved.
• Partner with legal professionals, product managers, designers, engineers and control stakeholders to translate business needs into practical full-stack, data and AI-enabled solutions, and communicate technical strategy, status, risks and trade-offs clearly.
• Own the application-support model and work directly with users to resolve day-to-day needs and production issues, using incidents, operational measures and feedback to drive sustainable improvements in reliability, usability and the user experience.

BASIC QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering or a closely related technical field. Relevant experience of 7-9 years
• Substantial professional software development experience, including hands-on delivery of enterprise applications and demonstrated leadership of engineers or engineering teams.
• Deep knowledge of software engineering fundamentals, system design, distributed systems, API design, databases, automated testing, CI/CD and production operations.
• Hands-on proficiency in one or more modern programming ecosystems. Experience with Java, TypeScript / JavaScript, React and Python is particularly relevant.
• Proven ability to lead the full software development lifecycle, from problem definition and architecture through implementation, testing, deployment, support and modernization.
• Experience designing and operating secure, resilient and scalable systems, ideally using cloud-native, microservices or event-driven architectures.
• Practical experience using AI-assisted development tools such as Devin, GitHub Copilot or Claude Code, together with the judgment to challenge, test and improve AI-generated code.
• Ability to develop engineers, lead technical decisions and drive complex initiatives across teams and stakeholders.
• Excellent written and verbal communication, analytical problem solving and the ability to explain complex technical topics and trade-offs clearly.

PREFERRED QUALIFICATIONS

• Experience with financial services, legal technology, compliance, risk or another highly controlled business environment.
• Experience in onboarding and integrations with vendor SaaS platforms
• Experience with cloud migration, Kubernetes, containers, infrastructure modernization and DevOps practices.
• Knowledge of relational and NoSQL databases, data modeling, search platforms, messaging, streaming or real-time processing.
• Experience with modern AI / machine learning ecosystems, including retrieval-augmented generation, agent frameworks, model evaluation and prompt or context engineering.
• Experience establishing application-support practices, production-readiness standards, observability and incident-management disciplines.
• Experience with Microsoft 365 extensibility, including Office.js, is a plus.

WHAT SUCCESS LOOKS LIKE

• The team consistently delivers secure, reliable and maintainable solutions that meet clear specifications and business outcomes.
• Engineers grow in capability and ownership through effective coaching, meaningful technical challenges and clear standards.
• AI-assisted development measurably improves delivery effectiveness without reducing code quality, control discipline or engineering accountability.
• Users receive responsive support, recurring issues are addressed through sustainable engineering improvements and application reliability continues to improve.

CORE TECHNOLOGY EXPOSURE

Depending on the product and team, the role may involve: Java, TypeScript, JavaScript, React, Python, FastAPI, Flask, REST APIs, GraphQL, relational and NoSQL databases, Elasticsearch, Kafka, streaming and messaging platforms, Kubernetes, cloud services, automated testing, CI/CD, RAG and agent frameworks, Devin, GitHub Copilot, Claude Code and Office.js. Technology choices vary by solution. The successful candidate is not expected to have prior experience with every technology listed; deep engineering fundamentals, hands‑on leadership, sound judgment and learning agility are essential.

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. Learn more 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. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Please note that our firm has adopted a COVID-19 vaccination requirement for employees who work onsite at any of our U.S. locations to safeguard the health and well-being of all our employees and others who enter our U.S. offices. This role requires the employee to be able to work on-site. As a condition of employment, employees working on-site at any of our U.S. locations are required to be fully vaccinated for COVID-19, and to have either had COVID-19 or received a booster dose if eligible under Centers for Disease Prevention and Control (CDC) guidance, unless prohibited by applicable federal, state, or local law.

Applicants who wish to request for a medical or religious accommodation, or any other accommodation required under applicable law, can do so later in the process. Please note that accommodations are not guaranteed and are decided on a case by case basis.

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.