Software Engineer I
American Express
Job Summary
This Software Engineer role at American Express involves designing and building large-scale, cloud-native, event-driven reactive applications to create a comprehensive customer view. Key responsibilities include leading the development of micro-services for data hub management, real-time data processing, and generalized stream processing. The role also focuses on improving data pipeline efficiency, reliability, and scalability, collaborating on cross-functional initiatives, influencing team members with innovative ideas, and mentoring junior engineers. Candidates need 5+ years of experience in distributed Java applications, a relevant degree, and expertise in NoSQL, web services, Big Data, event-driven microservices, and automated release management.
Must Have
- Lead build of new micro-services that help manages our rapidly growing data hub
- Lead build of services to perform real time data processing at scale for relational, analytical queries across multi-dimensional data
- Lead build of services that generalize stream processing to make it trivial to source, sink and stream process data
- Improve efficiency, reliability and scalability of our data pipelines
- Work on cross-functional initiatives and collaborate with Engineers across organizations
- Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking
- Be a productivity multiplier for your team by analyzing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results
- Mentor and guide junior team members to success within the team
- Responsible for setting and driving team goals
- 5+ years of experience in building large scale distributed applications with object-oriented design using java related stack
- Holds a master’s or bachelor's degree in computer science, Information Systems, or other related field (or has equivalent work experience)
- Ability to implement scalable, high performing, secure, highly available solutions
- Proficient in developing solution architecture for business problems and communicating it to large teams
- Proficient in weighing pros and cons of different solution options and gaining alignment on the preferred option with multiple stakeholders
- Experience with NoSQL technologies such as Cassandra, Couchbase
- Experience with web services and API development on enterprise platforms using REST, GraphQL, and gRPC
- Expertise in Big Data technologies like Hive, Map Reduce, and Spark
- Experience in Event Driven Microservice architecture – Vert.X, Kafka
- Experience with automated release management using Maven, Git, Jenkins
Good to Have
- Experience with Vert.X and Event driven Architecture
- Experience with Postgres
- Experience with Docker/Openshift based deployment
Perks & Benefits
- Comprehensive support for your holistic well-being
- Many opportunities to learn new skills
- Opportunities to develop as a leader
- Opportunities to grow your career
Job Description
Work Location Options:
Hybrid
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. As part of Team Amex, you'll experience this 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.
How will you make an impact in this role?
This role of a Software Engineer will be an integral part of a team that designs and builds large-scale, cloud-native, event-driven reactive applications to create 360-degree view of the customer.
Specifically, you will help:
- Lead build of new micro-services that help manages our rapidly growing data hub.
- Lead build of services to perform real time data processing at scale for relational, analytical queries across multi-dimensional data.
- Lead build of services that generalize stream processing to make it trivial to source, sink and stream process data.
- Improve efficiency, reliability and scalability of our data pipelines.
- Work on cross-functional initiatives and collaborate with Engineers across organizations.
- Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking
- Be a productivity multiplier for your team by analyzing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results.
- Mentor and guide junior team members to success within the team
- Responsible for setting and driving team goals
Please note, Salary increases in case of a lateral move are provided only on an exception basis and in line with compensation guidelines.
Are you up for the challenge?
- 5+ years of experience in building large scale distributed applications with object-oriented design using java related stack.
- Holds a master’s or bachelor's degree in computer science, Information Systems, or other related field (or has equivalent work experience).
- Ability to implement scalable, high performing, secure, highly available solutions.
- Proficient in developing solution architecture for business problems and communicating it to large teams.
- Proficient in weighing pros and cons of different solution options and gaining alignment on the preferred option with multiple stakeholders.
- Experience with NoSQL technologies such as Cassandra, Couchbase, etc.
- Experience with web services and API development on enterprise platforms using REST, GraphQL, and gRPC.
- Expertise in Big Data technologies like Hive, Map Reduce, and Spark
- Experience in Event Driven Microservice architecture – Vert.X, Kafka, etc
- Experience with automated release management using Maven, Git, Jenkins.
- Experience with Vert.X and Event driven Architecture is a plus.
- Experience with Postgres is a plus.
- Experience with Docker/Openshift based deployment is a plus.