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🏢 Goldman Sachs

Engineer

💼 Fulltime 📍 Multiple locations (Global) ⏰ Expired
💰 Salary
₹12 LPA - ₹15 LPA
📍 Location
Multiple locations (Global)
⏳ Deadline
30 Mar 2026
🚀
Jobdexo Rating: Excellent
Highly recommended — great pay, solid company, clear process.
💰 Salary Insights
₹12 LPA - ₹15 LPA
📊 View Detailed Salary Insights ↗
🎤 Interview Experience
Goldman Sachs engineering interviews typically start with a timed online coding test, followed by one or two technical rounds focusing on data structures, algorithms, and system design. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice high‑frequency coding problems, be ready to discuss trade‑offs in design, and demonstrate a clear understanding of financial concepts where applicable.
🏢 Work Culture
Goldman Sachs fosters a high‑performance, collaborative environment where innovation is encouraged and ideas are judged on merit. Employees benefit from structured mentorship, global mobility options, and a strong focus on work‑life balance through flexible hours and wellness programs.
This job has expired

Deadline was 30 Mar 2026

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🛠 Skills Required
Java Python C++ data structures algorithms low‑latency systems cloud platforms (AWS/GCP) containerization (Docker Kubernetes) SQL/NoSQL machine learning basics Git
✅ Eligibility Criteria
Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or related discipline. Minimum CGPA 7.0/10 (or equivalent). Open to graduates of 2024‑2026 batches. No active backlogs at the time of joining. Strong programming fundamentals and problem‑solving ability are mandatory.
🏆 Selection Process
Round 1: Online coding assessment (platform‑based problems) → Round 2: Technical interview(s) (coding, system design, domain knowledge) → Round 3: HR interview (fit, motivations, culture)
📋 About the Role
Goldman Sachs is a premier global investment banking, securities, and investment management firm founded in 1869. Headquartered in New York, the firm operates in more than 60 locations worldwide, serving a diverse client base that includes corporations, governments, and individuals. The company is renowned for its commitment to innovation, rigorous risk management, and a culture that values merit, collaboration, and continuous learning. Over the decades, Goldman Sachs has built a reputation for shaping financial markets, pioneering new products, and driving technology‑enabled transformation across the financial services industry. The Engineering function sits at the heart of Goldman Sachs’ Technology Division and works closely with global strategist groups to turn complex data into actionable insights. As an Engineer, you will be part of a high‑performing team that designs, builds, and maintains massively scalable software platforms, low‑latency trading infrastructure, and advanced machine‑learning pipelines. Your work will directly impact the firm’s ability to serve clients in real time, manage risk, and create new revenue streams. The role offers exposure to cutting‑edge technologies, cross‑functional collaboration, and the chance to solve some of the most challenging problems in finance. **Key Responsibilities** 1. Design, develop, and maintain high‑throughput, low‑latency systems that support trading, risk, and analytics workflows. 2. Build scalable data pipelines and storage solutions for large‑volume market and client data. 3. Implement machine‑learning models to enhance decision‑making, fraud detection, and portfolio optimization. 4. Collaborate with product owners, traders, and risk managers to translate business requirements into technical specifications. 5. Conduct performance profiling, tuning, and capacity planning to ensure system reliability under peak loads. 6. Write clean, test‑driven code in Java, Python, C++ and contribute to shared libraries and frameworks. 7. Participate in code reviews, mentor junior engineers, and champion best practices in software engineering. 8. Stay abreast of emerging technologies (cloud, containerization, DevOps) and evaluate their applicability to Goldman’s platforms. 9. Develop and maintain comprehensive technical documentation and operational run‑books. 10. Contribute to on‑call rotations and incident response, ensuring rapid resolution of production issues. **Tech Stack**: Java, Python, C++, Spring Boot, React, Kubernetes, Docker, AWS/GCP, Kafka, Hadoop/Spark, TensorFlow/PyTorch, SQL/NoSQL databases. **Growth Path**: Engineers can progress to Senior Engineer, Lead Engineer, and Principal Engineer roles, with opportunities to move into Architecture, Product Management, or specialized domains such as Quantitative Research and Cybersecurity. The firm supports continuous learning through internal bootcamps, certifications, and mentorship programs. **Why Join Goldman Sachs**: You will work alongside some of the brightest minds in finance and technology, tackling real‑world problems that affect global markets. The firm offers competitive compensation, robust learning resources, a culture of meritocracy, and a strong commitment to diversity and inclusion. Joining Goldman Sachs means being part of a legacy of excellence while shaping the future of financial technology.
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📋 Quick Info
JOB ID
C002-J023
POSTED
08 Mar 2026
TYPE
Fulltime
BATCH
All Batches
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