Staff Software Engineer – One Data Platform Engineering

American Express

. Spend 60% of the time on hands-on engineering activities across platform services, frameworks, cloud infrastructure, and developer tooling.

Posted 10/15/2026full-timeUnited StatesLead💰 $144,250 - $256,250 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLOpen SourcePythonSQLTerraform

About the role

Key responsibilities & impact

Spend 60% of the time on hands-on engineering activities across platform services, frameworks, cloud infrastructure, and developer tooling.
Envision, design, develop, and release foundational platform and framework capabilities enabling highly performant, scalable, and secure applications.
Drive high-level architecture and detailed technical designs, conduct design reviews, and influence engineering standards across teams.
Design and implement reusable platform components, shared libraries, SDKs, APIs, and cloud services to improve developer productivity and accelerate application delivery.
Evolve platform capabilities for cloud-native, event-driven, and AI-enabled applications.
Optimize platform services and framework components for performance, scalability, reliability, observability, and serverless/FaaS environments.
Improve and maintain core platform services, frameworks, CI/CD pipelines, developer tooling, and Infrastructure as Code.
Collaborate across engineering organizations to establish platform standards, best practices, and architectural guidance.
Help define the technical direction of the One Data Platform.
Provide technical leadership and mentorship through complex architectural and implementation challenges.
Collaborate with teams and stakeholders to deliver impactful platform capabilities.
Resolve complex and ambiguous technical challenges.
Drive initiatives from concept through delivery with ownership and accountability.
Influence technical direction and alignment across teams.
Advocate for customer-focused solutions, developer experience, and business value.
Analyze, design, develop, debug, and evolve software platforms supporting enterprise-scale applications.
Advocate for the developer platform, frameworks, and engineering ecosystem.

Requirements

What you’ll need

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: experience with internal developer platforms, AI-powered applications, LangGraph, OpenAI Agents SDK, Python, WebAssembly, AWS/Azure/GCP, Docker, Kubernetes, CI/CD, GitOps, Terraform, CloudFormation, and GraphQL.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Benefits

Comp & perks

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
Bonus
Equity (if applicable)