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

Key Responsibilities

• 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 Rabbit
  
  MQ.
• 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 (Postgre
  
  SQL, 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 (Mongo
  
  DB, Cassandra).
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.