Job Description

Job Title : Lead Back-End Java Engineer (Spring Boot and Kafka)

Location : Remote (USA)

Contract Length : 6+ months (with potential for extension)

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 6+ month contract. This role is fully remote within the USA and will focus on designing and implementing resilient, scalable back-end solutions in a highly regulated, fast-paced fincial 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 magement, scripting, and deployment tasks.
• Collaborate with cross-functiol teams to define requirements, architect solutions, and deliver high-quality code.
• Ensure compliance with security standards and fincial 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 professiol 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 fincial services industry, with a strong understanding of fincial 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 maintence.
• 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.

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