Software Engineer II - Java - GMNST

Software Engineer II designs, develops, tests, and debugs software applications, contributes to software builds, completes code reviews and automated testing to maintain high-quality standards with guidance, supports and monitors software across environments, and adheres to security and regulatory best practices.
Degree in computer science, computer engineering or a related field.
Minimum 5 years of software development experience in a professional environment working with Java technologies - Vertx, Spring, Spring Boot, RESTful micro services, Ignite, In-Memory Computing, Spark, PostgreSQL, Cassandra, Kafka, Yellowbrick (Apache Ignite is a plus) and RESTful API’s.
Hands-on experience with application design, software development and automated testing
Experience with distributed (multi-tiered) systems, algorithms, relational or NoSQL databases.
Ability to effectively interpret technical and business objectives and challenges and eloquent solutions.
Ability to learn and investigate new technology and business domains, question status quo and think outside of the box.
Ability to debug basic software components and identify code defects for remediation.
Experience working in Agile or other rapid application development methods.
Proficient oral and written communication skills.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
Designs, develops, tests, and debugs software applications and systems
Completes software builds through consistent development practices, including the use of tools, common components, and documentation with guidance from peers and leaders
Completes code reviews and automated testing to maintain high-quality code standards with guidance from peers and leaders
Supports and monitors software across test, integration, and production environments
Adheres to security and regulatory best practices to ensure software compliance
Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
Integrates AI tools into coding, testing, debugging workflows and documentation tasks and applies AI tools to improve development speed and code quality
Evaluates AI-generated recommendations for accuracy, quality, alignment with engineering standards, and security and maintains accountability for outputs