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Sr Software Engineer I - Enterprise Architecture

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Summary

Senior hands-on engineer at American Express designing, building, and operating enterprise event-driven integration and messaging platforms — owning full-stack UIs/APIs, multi-region resiliency, CI/CD, observability, and legacy-to-cloud-native migration, with LLM/ML applied to automation. Tech spans Java/Python/Go/JS, React, Kubernetes/ECS on AWS, and observability tooling.

You Lead the Way. We’ve Got Your Back.

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.

About Enterprise Architecture:

Enterprise Architecture is an organization within the Core Technologies unit at American Express and it is a key enabler of the company’s architecture & technology strategy. The four pillars of Enterprise Architecture include:

  1. Architecture as Code: this pillar owns and operates foundational technologies that are leveraged by engineering teams across the enterprise.

  2. Architecture as Design: this pillar includes the solution and technical design for transformation programs and business critical projects which need architectural guidance and support.

  3. Governance: this pillar is responsible for defining technical standards, and developing innovative tools that automate controls to ensure compliance.

  4. Colleague Enablement: this pillar is focused on colleague development, recognition, training, and enterprise outreach.

About the Role:

We are looking for a Senior Engineer I to help design, build and operate the enterprise integration and event-driven platforms that connect American Express systems at scale. This is a hands-on senior engineering role, and you will own architecture solution, tooling and delivery for high-throughput, low-latency user interfaces & APIs & backend databases design & development in multi-region production environments, and you will set the technical direction that other engineers build against.

  • Design, build and manage enterprise platforms and shared technology services for messaging, event distribution and system-to-system integration used by engineering teams across the enterprise.

  • Design and build the operator-facing surfaces for these platforms: self-service onboarding portals, topic and schema management consoles, and flow monitoring views, owning the full stack from the UI components through the APIs that back them.

  • Architect high-throughput, low-latency event-driven systems using publish/subscribe, queue-based and streaming patterns, and define the topic taxonomies, message contracts and canonical schemas that govern them.

  • Lead platform modernization and migration work — moving producers and consumers off legacy middleware and monolithic app servers onto containerized, cloud-native microservices with phased roadmaps, parallel-run validation, reconciliation and zero-outage cutovers.

  • Engineer resiliency into the platform: multi-region active-active topologies, endpoint failover, dead-letter handling, duplicate detection, and failure isolation so one flow cannot degrade another.

  • Own the delivery pipeline end to end - CI/CD, externalized configuration, release verification gates and documented rollback runbooks.

  • Build production observability: throughput and latency dashboards, log analytics, alerting, and data-quality/reconciliation checks between source and target streams.

  • Identify opportunities to apply LLMs and AI/ML to engineering problems - schema and mapping generation, anomaly and exception classification, reconciliation summarization - with human-in-the-loop review, accuracy baselines and deterministic fallbacks.

  • Take your place as a core member of an agile team driving the latest development practices: writing code and unit tests, working with API specs and automation.

  • Raise the engineering bar for the team - design reviews, HLD/LLD discipline, coding and review standards, test-coverage and security gates, and technical mentoring of junior engineers.

  • Partner with product, infrastructure and business stakeholders to translate objectives into technical designs, and articulate trade-offs clearly to both engineering and senior leadership audiences.

  • Preferably a BS or MS degree in computer science, computer engineering, or other technical discipline
  • 10+ years of software development experience
  • Experience in Full Stack development.
  • Experience in LLMs & Prompt Engineering
  • Experience in Process Management, Case Management, Work Management is a plus.
  • Experience in ML, Cognitive OCR, Agentic AI automations driving cost savings.
  • Production cloud experience (AWS preferred): container orchestration, streaming and storage services, parameter/secret management and infrastructure as code.
  • Hands-on experience with enterprise messaging and streaming platforms
  • Extensive experience in designing and implementing large scale platforms with high resiliency, availability, and reliability.
  • Experience with CI/CD tooling (Harness, Jenkins, GitLab or equivalent) and container platforms (Docker, Kubernetes, ECS, OpenShift).
  • Strong data skills: relational databases and SQL/PLSQL, NoSQL stores, XML/XSD/XSLT and JSON schema design, and data-quality/reconciliation engineering.
  • Experience with observability and log analytics tooling (Dynatrace, Splunk, ELK or equivalent).
  • Python for automation, data engineering or ML is a plus.
  • Strong experience in applications with high throughput and performance
  • Experience with micro services architectures and service mesh technologies is preferred.
  • Demonstrated ability to mentor engineers and lead technical work across distributed onsite/offshore teams.
  • Willingness to learn new technologies and exploit them to their optimal potential
  • Ability to effectively interpret technical and business objectives and challenges and articulate solutions.
  • Every member of our team must be able to demonstrate the following technical, functional, leadership and business core competencies, including:
  • Agile Practices

  • Porting/Software Configuration

  • Programming Languages and Frameworks – Hands on experience in some or all the following is preferred: Javascript, Typescript, ReactJS, NodeJS, NextJS, API design & development, Backend Development on relational & Graph Database, Java, Python, Go, React, Envoy, gRPC, ProtoBuf, JSON, CouchBase, Cassandra, Redis, Cloud infrastructure & engineering.

  • Business Analysis

  • Analytical Thinking

  • Business Product Knowledge

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