Staff Software Engineer - One Data Platform Engineering

• Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, or related field required; advanced degree preferred. 8+ years of software engineering experience in complex enterprise environments, including designing and building platforms, frameworks, or foundational services. Deep expertise building highly scalable, high-performance distributed systems and developer platforms.

designing platform capabilities, reusable frameworks, SDKs, APIs, or shared engineering services.

Strong experience with Microservices Architecture, data-centric application design, event-driven systems, distributed systems, data pipelines, and stream processing.

Hands-on experience with backend technologies (Node.js, Java, or similar), distributed systems, SQL/NoSQL databases, and cloud infrastructure.

designing and deploying applications on Function as a Service (FaaS) platforms (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).

Strong understanding of serverless architecture patterns, cloud-native application design, observability, resiliency, and platform scalability.

Working knowledge of modern AI application architectures and concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic applications, tool calling, and AI orchestration patterns.

Familiarity with emerging AI interoperability standards and protocols, including Model Context Protocol (MCP), Agent-to-Agent (A2A), and related technologies for building enterprise AI applications.

Proven track record of contributing to enterprise platforms, core frameworks, SDKs, libraries, or open source projects, with demonstrated expertise in their architecture and internals.

Demonstrated technical leadership and mentorship within engineering organizations.

Strategic thinker with the ability to align technical solutions with business goals.

Excellent problem-solving skills and the ability to resolve complex technical challenges.

Strong sense of ownership and accountability for deliverables.

Ability to influence technical direction and build consensus across teams.

Customer-focused mindset, designing solutions with developer experience, end-user experience, and business value in mind.

Demonstrated ability to lead through ambiguity and solve complex, partially defined problems.

Passion for learning emerging technologies and staying current with advances in platform engineering, cloud computing, AI, and modern software engineering.

Excellent written and verbal communication skills.

• Bachelor's degree in Computer Science, Computer Engineering, or related field required; advanced degree preferred.
• 8+ years of software engineering experience in complex enterprise environments, including designing and building platforms, frameworks, or foundational services.
• Deep expertise building highly scalable, high-performance distributed systems and developer platforms.
• Experience designing platform capabilities, reusable frameworks, SDKs, APIs, or shared engineering services.
• Strong experience with Microservices Architecture, data-centric application design, event-driven systems, distributed systems, data pipelines, and stream processing.
• Hands-on experience with backend technologies (Node.js, Java, or similar), distributed systems, SQL/NoSQL databases, and cloud infrastructure.
• Experience designing and deploying applications on Function as a Service (FaaS) platforms (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).
• Strong understanding of serverless architecture patterns, cloud-native application design, observability, resiliency, and platform scalability.
• Working knowledge of modern AI application architectures and concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic applications, tool calling, and AI orchestration patterns.
• Familiarity with emerging AI interoperability standards and protocols, including Model Context Protocol (MCP), Agent-to-Agent (A2A), and related technologies for building enterprise AI applications.
• Proven track record of contributing to enterprise platforms, core frameworks, SDKs, libraries, or open source projects, with demonstrated expertise in their architecture and internals.
• Demonstrated technical leadership and mentorship within engineering organizations.
• Strategic thinker with the ability to align technical solutions with business goals.
• Excellent problem-solving skills and the ability to resolve complex technical challenges.
• Strong sense of ownership and accountability for deliverables.
• Ability to influence technical direction and build consensus across teams.
• Customer-focused mindset, designing solutions with developer experience, end-user experience, and business value in mind.
• Demonstrated ability to lead through ambiguity and solve complex, partially defined problems.
• Passion for learning emerging technologies and staying current with advances in platform engineering, cloud computing, AI, and modern software engineering.
• Excellent written and verbal communication skills.
• Preferred Qualifications Experience building internal developer platforms (IDPs), shared engineering platforms, or enterprise frameworks.

building or integrating AI-powered applications, developer platforms, or AI platform services.

with AI application frameworks and orchestration libraries such as LangGraph, OpenAI Agents SDK, or similar technologies.

with Python for platform engineering, automation, AI, or backend development.

with WebAssembly (Wasm), the WebAssembly Component Model, and related runtimes or ecosystems (e.g., Wasmtime, WASI, Spin, Fermyon, WasmCloud or Bytecode Alliance projects).

with cloud-native architectures and deployment on AWS, Azure, or GCP.

with containerization (Docker, Kubernetes), CI/CD pipelines, GitOps, and Infrastructure as Code (Terraform, CloudFormation).

Knowledge of GraphQL platforms.

Depending on factors such as business unit requirements, the nature of the position, cost and appilcable laws, American Express may provide visa sponsorship for certain positions.

• Experience building internal developer platforms (IDPs), shared engineering platforms, or enterprise frameworks.
• Experience building or integrating AI-powered applications, developer platforms, or AI platform services.
• Experience with AI application frameworks and orchestration libraries such as LangGraph, OpenAI Agents SDK, or similar technologies.
• Experience with Python for platform engineering, automation, AI, or backend development.
• Experience with WebAssembly (Wasm), the WebAssembly Component Model, and related runtimes or ecosystems (e.g., Wasmtime, WASI, Spin, Fermyon, WasmCloud or Bytecode Alliance projects).
• Experience with cloud-native architectures and deployment on AWS, Azure, or GCP.
• Experience with containerization (Docker, Kubernetes), CI/CD pipelines, GitOps, and Infrastructure as Code (Terraform, CloudFormation).
• Knowledge of GraphQL platforms. Depending on factors such as business unit requirements, the nature of the position, cost and appilcable laws, American Express may provide visa sponsorship for certain positions.

We back you with benefits that support your holistic well-being so you can be and deliver your best.

This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counselling support through our Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits, visit out Colleague Benefits Site .

The below 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.​

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.

From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our 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.