Senior Engineer II

You Lead the Way. We ve Got Your Back.

Join Team Amex and lets lead the way together.

About Enterprise Architecture (EA):

EA as an organization aims to set the bar for technology at American Express. The Senior Engineer in EA will be expected to do hands-on programming to develop strong architectures and work with product/business/engineering teams to design resilient, highly available, scalable distributed systems.

Responsibilities:

Ability to break down complex/high level ideas into concrete design and provide proofs of concept with hands-on engineering
Dsign and Collaborate with engineering teams in System design and scaling (CAP, Distributed Caches, Read/Write Replicas, Consistent Hashing, CQRS, CRDTs).
Disagree respectfully but commit. Bring people along. Articulate and drive change
Leverage one of the tools to document and express your ideas and designs
Identifying opportunities for adopting new technologies, stay up to date with and brings in new technology. Be curious
Compliance Language
QualificationsInternal and External

Preferably a BS or MS degree in computer science, computer engineering, or other technical discipline
10+ years of software development experience in designing and implementing large scale platforms with high resiliency, availability, and reliability.
Experience with Data Centric application design, Event Driven Systems, Kafka, Big Data ecosystem, Data pipelines, Stream processing systems etc. is required.
Experience with Cloud Native system design required.
Strong verbal and written communication skills for documenting design and communication different design patterns
Validated experience leading teams of engineers.
Ability to thrive in a fast-paced environment and multi-task efficiently.
Experience in the finance, regulatory reporting domain is a plus.
Experience working with Public Clouds (AWS,GCP,Azure) is a plus.

Every member of our team must be able to demonstrate the following technical, functional, leadership and business core competencies, including:

Agile Practices
Love dealing with fast pace, changing needs, limited resources
Programming Languages and Frameworks Hands on experience in some or all of the following is preferred:
Java, Database systems like Redis, Cassandra, Data streaming platforms like spark, flink, kafka, Big Data ecosystem, enterprise-grade APIs using state-of-the-art techniques and best practices (GraphQL ,REST, JSON, XML, etc.) required.

Benefits include: