About the Role

My client is seeking a seasoned Back-End Java Engineer with deep expertise in Spring Boot, Kafka, and Unix to support our technology team on a 1+year contract. This role is fully remote within the U.S. and will focus on designing and implementing resilient, scalable back-end solutions in a highly regulated, fast-paced financial environment.

Key Responsibilities

• Design, develop, and maintain scalable back-end systems and microservices using Java and Spring Boot.

• Integrate Kafka for real-time data streaming and asynchronous messaging to support mission-critical services.

• Utilize Unix for environment management, scripting, and deployment tasks.

• Collaborate with cross-functional teams to define requirements, architect solutions, and deliver high-quality code.

• Ensure compliance with security standards and financial regulations, prioritizing data integrity and confidentiality.

• Write efficient, reusable, and secure code, and perform thorough testing to maintain high reliability.

• Participate in code reviews, technical discussions, and team meetings to foster knowledge sharing and continuous improvement.

Required Qualifications

• 8+ years of professional experience in back-end software development with a focus on Java.

• 5+ years of hands-on experience with Spring Boot.

• 3+ years of experience in the financial services industry, with a strong understanding of financial regulations and data privacy standards.

• Expertise with Kafka for building reliable, real-time data pipelines.

• Solid experience with Unix/Linux environments, including shell scripting, job scheduling, and system maintenance.

• Familiarity with microservices architecture, API design (RESTful/GraphQL), and distributed systems.

• Strong knowledge of database technologies (SQL and NoSQL).

• Proficient in using version control (Git) and CI/CD tools.
  

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Google Cloud, or Azure).

• Familiarity with Docker and container orchestration tools like Kubernetes.

• Knowledge of monitoring and logging frameworks (e.g., ELK stack, Prometheus).

• Understanding of Agile methodologies and experience with tools like JIRA or Confluence.