The Core Engineering, Senior Backend Engineer (Java & ETL Specialist), Dallas, Associate

The Core Engineering 

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). 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. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units: 

• Metrics & Analytics Platforms: responsible for the measurement and management of the firm’s risk, capital, and liquidity for The Core functions

• The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics

• Financials & Reporting: responsible for facilitating the production of the firm’s financials and a wide range of reporting functions

• Non-Financial Risk & Controls: responsible for non-financial risk and control processes

• Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement

• Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk 

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: 4–7 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.