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Manager - Software Engineering

American Express • Commercial & Retail Banks • Cards & Card Issuing • Bachelor's Degree • Python • JavaScript • Java • SQL • Power BI • ETL/ELT • 4 days ago

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Salary

≈ $82k – $192k per year (Estimated)

Location

In office (New York)

Visa

H-1B filings in 12 months: 101 · green card filings: 30

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 23, 2026. American Express scores A on the Alion truth index.

Overview

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Profile match

American Express

American Express is a New York financial services company founded in 1850 as an express freight business that became a payments network and card issuer. Unlike the four-party networks it competes with, it issues most of its own cards and operates its own network, which lets it earn merchant discount revenue as well as interest and annual fees, and supports a premium rewards proposition built on travel and lounge access. Its business spans consumer and small business cards, corporate payments, merchant acquiring and travel services, and it is a component of the Dow Jones Industrial Average.

americanexpress.com • HQ: New York, United States • Commercial & Retail Banks • Payment Processing & Gateways • Cards & Card Issuing • 5000+ employees • Est. 1850

Tech stack of American Express

Seeking a data-driven software engineering professional with experience designing, developing, testing, and maintaining robust applications and data-driven solutions that support the Platform Health Program. This role will build scalable software, data pipelines, analytics, and reporting capabilities that improve portfolio transparency, operational efficiency, data quality, and strategic decision-making.

The ideal candidate is based in New York and brings a combination of software development, data engineering, analytics, and technology portfolio experience, with the ability to translate business requirements into reliable technical solutions and collaborate effectively across Technology, Product, Finance, and Portfolio Management teams.

Software Development & Architecture: Design, develop, test, and maintain scalable software applications and data-driven solutions using Python or Java, SQL, REST APIs, and SQL Server.
Front-End & UI Engineering: Build and optimize user interfaces using HTML, JavaScript, CSS, Bootstrap, and Ant or similar UI libraries to enhance usability and stakeholder engagement.
Data Pipeline & System Integration: Build and maintain data integrations and ETL/ELT pipelines using SQL, Python DB-API/Pandas or JDBC, and APIs to consolidate large technology and financial datasets across Oracle, IBM platforms, SQL Server, and Google Cloud Platform environments.
Platform Health Analytics & Automation: Develop solutions that support Platform Health classification, portfolio reporting, data-quality validation, and workflow automation, including AI- and machine-learning-assisted capabilities where appropriate.
Portfolio Performance & Analytics: Analyze technology portfolio data across investments, budgets, resource allocations, delivery, and operational health to identify trends, variances, risks, and strategic opportunities.
Code Quality & DevOps: Perform code reviews, performance tuning, unit and integration testing using JUnit or Pytest, and deployment management using GitHub, Docker, and CI/CD pipelines across Windows, Unix, and cloud platforms.
BI & Executive Reporting: Develop interactive dashboards and reporting solutions using Power BI and Microsoft Fabric, and produce clear technical and performance insights for leadership.
Cross-Functional Collaboration: Partner with Technology, Product, Finance, and Portfolio teams to translate requirements into technical solutions, manage project tracking through Jira or Bugzilla, and continuously improve platform capabilities.

Strong programming and software-development experience with hands-on proficiency in Python or Java, SQL, Python DB-API or JDBC, ETL/ELT, REST APIs, SQL Server, HTML, JavaScript, CSS, Bootstrap, and large-scale data analysis.
Hands-on experience with source control, deployment, and runtime technologies such as GitHub, Docker, Apache Tomcat or Uvicorn, CI/CD pipelines, and Windows/Unix platforms.
Experience designing and integrating software and data solutions across enterprise database and cloud environments, including Oracle platforms, SQL Server, and Google Cloud Platform.
Proven ability to perform code reviews, performance tuning, unit and integration testing, troubleshooting, and application lifecycle management.
Proficiency in Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint, including development of dashboards, automated reports, and portfolio-performance visualizations.
Familiarity with AI/ML-assisted analytics, workflow automation, Microsoft Power Platform, and issue-tracking or project-management tools such as Jira and Bugzilla.
Knowledge of data integration, database management, data modeling, data-quality validation, reporting automation, and data-governance best practices.
Strong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to translate complex business and data requirements into scalable technical solutions.
Bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; advanced degree preferred.