Java Engineer

Glassbox is looking for a Java Engineer to join our global R&D team.

We are Glassbox, and our mission is to reveal the insights that empower organizations to deliver exceptional digital customer experiences.

We are growing and have been recognized by G2 as one of 2024's Top 50 Software Companies in the world.

Our customers are the best of the best and include six out of the ten largest global banks, the world's largest hotel chain, the largest healthcare, and the largest telecommunications company in the U.S.

Now is the perfect time to come to Glassbox and help us accelerate our global leadership position!

If you are a dynamic, successful, experienced metrics-driven leader, Glassbox might be a great fit.

Will you join us on this journey?

What You Will Do

• Design and develop sophisticated Java-based backend solutions for large-scale data processing and analysis
• Collaborate with cross-functional teams to design and implement new features
• Engage in code and design reviews, ensuring alignment with project requirements and quality standards
• Diagnose and resolve production issues, contributing to the stability and reliability of the system
• Remain actively learning and applying new technologies and frameworks in the backend development space
• Embrace the scrum methodology to contribute effectively to team-driven project goals
• Be an active member of a multi-disciplinary scrum team
• Conduct code reviews
  
  

• Over 4 years of experience in Java backend development within a data-intensive environment
• Expertise in microservices architecture and cloud platforms (AWS, GCP, Azure)
• Proficiency with NoSQL and SQL databases (Cassandra, PostgreSQL) and containerization (Docker, Kubernetes)
• Solid understanding of RESTful APIs and experience with Agile methodologies (Scrum, JIRA, Git)
• Excellent problem-solving capabilities, meticulous attention to detail, and team collaboration skills
• Fluent in English with outstanding communication and interpersonal abilities
• Advantageous to have experience with Big Data technologies (Spark, Kafka, Elasticsearch), Python, and Node.js
• Independent problem solver