Software Engineer II

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.

Education Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience
• Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases
Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)

Work Experience:

• 4+ years of development experience with Java (minimum Java 11)
• 2+ years of development experience with Web Technologies (HTML, CSS, JavaScript, React, Next.js etc.)
• Software engineering and development experience or a related job
• Experience in application design, software development, and automated testing
• Experience in object-oriented design and coding with variety of languages
• Experience in distributed (multi-tiered) systems, algorithms, and relational databases
• Demonstrated experience with object-oriented design and coding with variety of languages and proven ability to understand and use complex data structures and associated components.
• Must be willing and able to express new ideas, concerns, and opinions directly to wider team including tech and business partners in team meetings in person or video/tele conferencing.
• Must have experience of writing applications for deployment on cloud environment including OpenShift and Docker containers.
• Must have experience with performance and monitoring tools e.g., Splunk, Dynatrace, ELK Analytical skills and knack of looking for non-obvious solutions.
• Knowledge CI/CD, system testing, test automation. Experience in infrastructure, application monitoring, platform stabilization and Investment performance a plus.
• Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases
• Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)
• Nice to have:
• Python experience is nice to have.
• Any ML/AI experience is nice to have. Experience to train a model based on the large amounts of data available and perform experiments/POC based on latest AI technologies.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities