Key Responsibilities
1. Backend & Microservices Development
- Design, develop, and implement scalable, resilient microservices using Java and Spring Boot.
- Apply domain-driven design (DDD) principles to ensure service isolation and maintainability.
- Optimize application performance for low latency and high throughput.
2. ETL & Data Pipeline Engineering
- Architect and maintain complex ETL/ELT workflows utilizing Spring Batch.
- Configure batch components for high-volume data ingestion and intricate transformations.
- Implement advanced batch features, including job partitioning, multi-threaded steps, and custom fault-tolerance policies (skip/retry logic).
3. API Design & Security
- Develop and document RESTful APIs that facilitate seamless data exchange between internal systems and external partners.
- Enforce rigorous security standards using Spring Security, OAuth2, and JWT.
- Ensure high availability and reliability of public-facing and internal endpoints.
4. Messaging & Real-Time Streaming
- Build event-driven architectures using Kafka or RabbitMQ.
- Implement real-time data triggers and stream processing to support asynchronous system communication.
5. Database Management & Optimization
- Demonstrate SQL Mastery by designing efficient schemas and writing complex queries for data analysis.
Perform database performance tuning, indexing strategies, and query optimization to handle large-scale datasets
Required Skills & Qualifications
- Experience: 7 or more years of professional experience in backend software engineering.
- Java Mastery: Deep understanding of Java (8+) and core Spring Framework concepts.
- Spring Ecosystem: Expert-level proficiency in Spring Boot and Spring Batch.
- Data Engineering: Proven track record of building production-grade ETL pipelines.
- Messaging: Hands-on experience with message brokers (Kafka preferred) for distributed systems.
- Database: Advanced knowledge of Relational Databases (PostgreSQL, Oracle, or SQL Server) and complex SQL.
- Security: Solid understanding of API security best practices and web vulnerabilities (OWASP).
- Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab).
Preferred Qualifications
- Experience with cloud platforms (AWS/Azure/GCP).
- Knowledge of NoSQL databases (MongoDB, Cassandra).
- Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
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
© 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.
