Compliance, Senior Backend Engineer; Java & ETL Specialist), Dallas, Associate

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.

• 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).

• 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.

• Build event-driven architectures using Kafka or RabbitMQ
  .
• Implement real-time data triggers and stream processing to support asynchronous system communication.

• 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.

• 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/Git Lab).

• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of No
  
  SQL databases (MongoDB, Cassandra).
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.