Engineer - Python

Engineer - Python

Regular price

About the job


You Lead the Way. We’ve Got Your Back.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to develop the next generation of Machine Learning platforms, enabling users to seamlessly create, manage and deploy their models at scale. There are hundreds of opportunities to make your mark on technology and life at American Express. American Express is embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing Machine Learning in Amex on the Cloud. You will be part of an energetic Operations team, driving design and development of machine learning solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences. This position provides an opportunity to solve very interesting problems that directly and greatly impact millions of individuals worldwide. If you have the talent and desire to deliver innovative and intelligent products as well as services at a rapid pace, serving our colleagues and customers seamlessly across through cognitive solutions, this would be the right fit for you!


  • More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Amex
  • Be part of a dynamic team and play a visible role in implementing cutting-edge technology
  • Partner with the business and technical partners to design Machine Learning platform for data scientist community.
  • Prioritizing the product backlog with the business effectively and meeting tight deadlines when required.
  • Balancing complex integrations and simple design
  • Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
  • Participate in code reviews and automated testing
  • Debug basic software components and identify code defects for remediation
  • Enable the deployment, support, and monitoring of software across test, integration, and production environments
  • Automate deployments in test or production environments
  • Automatically scale applications based on demand projections
  • Demonstrate increased self-reliance to achieve team goals
  • Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking

High Performance Behaviors:

  • Recognizes opportunities to adopt innovative technologies to enable business capabilities
  • Keeps up to date on current research and technology in the industry
  • Recognizes the importance of collaboration to achieve objectives
  • Clearly communicates ideas and concepts to others
  • Finds opportunities within projects and acts on own initiative without being prompted, including making appropriate decisions as vital
  • Provides feedback to team members in code reviews
  • Drive creative changes & continuous improvements
  • Mentors and guides junior team members to success within the team

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

Minimum Qualifications:

  • A Bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience.
  • 2+ years of software development experience with proven hands-on experience in Python and Bigdata technologies.
  • Familiar with Agile or other rapid application development methods. Experience with design and coding across one or more platforms and languages as appropriate.
  • Hands-on expertise with application design, software development and automated testing.
  • Ability to effectively interpret technical and business objectives and challenges, and articulate solutions.
  • Ability to think abstractly and deal with ambiguous/under-defined problems. Ability to enable business capabilities through innovation.
  • High energy demonstrated willingness to learn new technologies and takes pride in how fast to develop working software.
  • Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
  • Knack to guide/mentor other team members in both technology and domain.

Required skills:

  • Strong programming knowledge in Python
  • Strong hands-on experience in Big Data Technologies (Hive, Spark, PySpark, Python etc.)
  • Design and implementation of REST APIs, Event Driven Architecture - Kafka.
  • Knowledge/ experience in Distributed NoSQL databases (Cassandra, Redis, HBASE).
  • Good understanding of CI/CD processes leveraging Jenkins, XLR and Maven.
  • Good knowledge about the configuration management tools like GitHub.
  • Understanding of various Software Delivery Lifecycle methodologies particularly SAFe Agile and tools such as Confluence, Rally / Jira.
  • Database query optimization for Hive, Spark

We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
If the role you are applying for is designated as hybrid or onsite, you will be required to demonstrate that you have completed your primary COVID-19 vaccination series (i.e., 2 doses for Moderna/Pfizer and 1 dose for J&J) in order to work in or visit any of our offices. This requirement is subject to legally required accommodations.
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

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