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American Express

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4.2

based on 3.1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Large Company - 2024

Top Rated Company for Women - 2024

Top Rated Financial Services Company - 2024

153 American Express Jobs

Staff Engineer - Java, Microservices, Docker, Big Data

American Express Company

4.2

based on 3.1k Reviews

8-13 years

Bangalore / Bengaluru

1 vacancy

Staff Engineer - Java, Microservices, Docker, Big Data

American Express

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Finance C++ Clinical SAS Programming CCTV Monitoring Open Source

+ 3 more

Job Description

You Lead the Way. We ve Got Your Back.

Join Team Amex and lets lead the way together.

You Lead the Way. We ve Got Your Back.

Join Team Amex and lets lead the way together.

How will you make an impact in this role

American Express Global Card Network Platform authorizes and processes all of the company s customer card transactions. The Card Network platform is the critical back bone for all of American Express card transactions, and is a near real time low latency system that is always available and highly resilient, processing transactions from around the world 24x7, 365 days a year.

American Express is making strategic investments in new card network products and platforms to allow the company to meet its ambitious global growth agenda. American Express is looking for strong leaders and engineers to be part of high energy and efficient teams that will build and support our next generation card network systems.

As a Staff Engineer, you will be a hands-on engineer building highly available and scalable distributed system on the cloud that supports the companys long-term strategy and vision. Your primary responsibility is design and develop our next generation distributed transaction platform supporting Amex card transactions. Staff Engineers in American Express is an individual contributor role and is at the same level as a Director of Engineering.

- Card Network Authorizations/Routing, Card Tokenization, Clearing and Settlement, Servicing
- Omni-channel platforms and partner connectivity management
- Data Localization and Regulatory Compliance
- ATM, Debit, Credit and Push Payment Transactions, Real Time Settlement
- Platform Engineering and Foundational Capabilities of distributed systems
- High Availability, Resiliency and Performance Engineering on Cloud

Responsibilities Include:

You will be responsible for design and building key components of a distributed real-time transaction engine, and payment processing business logic including APIs and payment tokenization by leveraging these components
Build high level design as well as detailed design of complex subsystems with emphasis in high availability and low latency.
Working with developers in day to day activities and helping in review of design, coding and the SDLC tasks.
Build POCs to experiment new technologies, databases and other application infrastructure.
You will constantly purse and learn industry leading/innovative technologies and solutions. Be acutely aware of enabling technologies and open-source products to build low latency distributed systems.
Lead a culture of innovation and experimentation, engage in fun and outcome-oriented culture, and always be ready to try new concepts without fear of failure.
Collaborate with peer technology and product teams across different locations.

Minimum Qualifications

You have Computer Science / Information Systems degree, or equivalent with at-least 8+ years of work experience.
Strong implementation experience using languages like C/C++, GoLang or Java. Keen understanding of how to build highly performant systems with such languages.
Hands on experience in building distributed micro-service systems, experience with Service Mesh products/frameworks like such as Envoy, Linkerd, Istio, gRPC/ProtoBuf; Distributed System Management/tracing and monitoring such as Zipkin/Jaeger, ELK Stack, Prometheus
Have experience in designing and building Cloud native applications. Experience in cloud platforms like Docker, Kubernetes, OpenShift are a plus.
Experience in using NoSQL databases and distributed messaging systems such as Redis, Kafka, Couchbase, Cassandra in the context of low latency and high transaction volume systems.
Have built and delivered large scale enterprise systems/products. Implemented critical aspects of the such systems and have supported such applications in production as SAS service.
Keen awareness of concerns in massively distributed systems and effective solutions.
Experience working in DevOps teams and Scrums.
Ability to learn and deep dive into new technology and business domains, question status quo and think outside of the box.
Have excellent written and verbal communications skills. Create and deliver effective presentations to Senior Leadership.

Benefits include:

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