Java Software Engineer with Python - AVP - RUTHERFORD, NJ

As a Java Software Engineer with Python at Citi, your primary responsibilities include developing robust, scalable applications, collaborating with Agile teams, and engaging in the full software development lifecycle (SDLC). You'll mentor junior engineers, promote technical excellence, and help evolve product design and delivery strategies through stakeholder engagement.

To qualify for the Java Software Engineer with Python position at Citi, candidates should have 5-8 years of relevant experience in software development, proficiency in Java and Python, and a solid understanding of data structures and object-oriented principles. Additionally, familiarity with cloud-native development, container orchestration, and CI/CD practices is essential.

Candidates for the Java Software Engineer with Python role at Citi should possess strong technical skills in Java and Python, experience with the Spring Framework, proficiency in database management (Oracle and MongoDB), and familiarity with container orchestration tools like Kubernetes. Knowledge of CI/CD pipeline tools is also important.

At Citi, the collaboration for the Java Software Engineer role takes place within an Agile framework, where team members work together to achieve sprint goals. This involves active participation in team meetings, code reviews, and collaborative problem-solving to deliver high-quality software solutions effectively.

As a Java Software Engineer with Python at Citi, you'll have access to various opportunities for professional growth, including mentoring junior engineers, engaging in continuous learning, and participating in projects that utilize cutting-edge technologies like generative AI. The environment encourages technical excellence and continuous improvement.

In answering this question, provide specific examples of projects where you used Java and Python. Highlight the challenges you faced, how you overcame them, and the impact your contributions had on the project's success. Be sure to focus on your coding techniques and any methodologies used.

Discuss your approach to maintaining code quality, focusing on practices like code reviews, unit testing, and following best coding standards. Mention any tools you use, such as SonarQube for static analysis, and how you integrate these practices into your workflow.

Share your experiences participating in Agile teams, detailing how you’ve contributed during sprints, stand-ups, and retrospectives. Highlight any outcomes resulting from Agile practices and how they improved team dynamics or project delivery.

Provide a clear narrative about a particular bug you encountered, how you diagnosed the issue, your troubleshooting steps, and the resolution process. This showcases your problem-solving skills and technical expertise.

Explain your familiarity with cloud-native development and container orchestration, including how you’ve utilized tools like Kubernetes in your projects. Discuss any benefits these technologies brought to your software development process.

Discuss your openness to receiving feedback, how you incorporate it into your work, and why you believe it is crucial for professional development. Provide examples where feedback has positively impacted your projects.

Talk about the role of Continuous Integration and Continuous Deployment (CI/CD) in streamlining software development. Emphasize efficiencies gained and error reductions achieved through automated testing and deployment workflows.

Share your experiences with generative AI tools, focusing on how you’ve applied them, such as using CoPilot to assist in coding tasks. Discuss any projects where these tools significantly enhanced your coding efficiency.

Describe your strategies for time management, prioritization of tasks, and working under pressure. Highlight any tools you utilize for task management and how you ensure deadlines are met without compromising quality.

Discuss how you’ve taken on mentorship roles in the past, sharing specific strategies you use to support junior engineers, such as regular code reviews, offering guidance on technical problems, and creating opportunities for learning and growth.