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American Express Senior Engineer Phoenix , Arizona Apply Now
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
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.American Express 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 of #TeamAmex.
How will you make an impact in this role?
American Express is looking for Senior Engineers to contribute to the company’s focus on building centralized matching products to support our large and global corporate clients.
These centralized set of capabilities that will enable transaction/commodity matching. Drive significant upgrades on siloed matching implementations using a combination of deterministic and probabilistic techniques.
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 combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact our Large and Global Clients.
Scope of Impact/Influence :
Leads and mentors teams of engineers through ongoing development efforts.
Ensures engineers to enforce to team standards.
Accountable for accurate completion and quality of all documentation and work produced by engineering team.
Accountable for delivering a quality product that meets the customers’ needs.
Responsibilities:
More than 70% of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Matching in Amex
Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact Commercial Clients
Not only craftingML model prototypes, but also putting them into production in scale
Work with a dynamic team and play a visible role in implementing horizontal solutions
Works with large, complex data sets to build products and tools that enhance client experiences
Work closely with Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem
Minimum Qualifications
Strong analytical skills and programming skills, in production environment.
10 years hands-on experience with the following technologies:
SQL/ NoSQL
Python, and/or Java
Once of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai , MXNet, Caffe, Gluon etc.
RESTAPI and services
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience supporting and working with multi -functional teams in a dynamic environment
Preferred Qualifications
Degree /Masters/PHD in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or related fields.
Expertise in building scalable Machine Learning powered applications
3 years hands-on experience with the following technologies:
Direct involvement in working with large volumes of data and building, deploying and measuring in production environment
Experience with data pipeline and workflow management tools: Apache NiFi, Abnitio, Talend, Spark, Alteryx, etc. is a plus
Hands-on experience with GCP, AWS, Hadoop Ecosystem, Spark is a plus.
Hands-on experience with relational SQL and NoSQL databases: Redshift, Neo4J, MongoDB, Cassandra etc. is a plus
Qualifications
Salary Range: $110,000.00 to $190,000.00 annually bonus benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
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
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
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.
US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions
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