Sr. Software Engineer in Test (SET)

ingrammicro; Greer (SC); On-site; USD 110,000 - 160,000; Full time

Job summary

Ingram Micro is seeking a Sr. Software Engineer in Test to lead quality engineering across enterprise platforms.

You will architect automation strategies, build scalable frameworks, and champion AI-enabled testing practices to accelerate delivery in a complex supply chain environment. You'll collaborate with Product, DevOps, and engineering teams, drive test data generation, and ensure continuous quality through CI/CD and cloud deployments.

Qualifications

• Bachelor's degree in computer science or related field required.
• 5+ years in quality engineering/QA automation for enterprise platforms.
• Experience designing automation strategies for high-volume, mission-critical supply chain systems.
• Proficient in modern test automation tools and AI-assisted testing techniques.

Responsibilities

• Design and implement scalable automation frameworks using Playwright, Selenium, and other tools.
• Develop AI-powered testing capabilities and intelligent test selection.
• Integrate automated testing into CI/CD pipelines and release processes.
• Collaborate with Product, DevOps, and Architects to define quality strategies.

Skills

Automation

AI testing

Leadership

CI/CD

Education

Bachelor's degree in CS/related

Tools

Playwright

Selenium

Cucumber

REST Assured

Appium

TestNG

Grafana

Kibana

Elasticsearch

Job description

Accelerate your career. Join the organization that's driving the world's technology and shape the future.

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage set us apart. Learn more at www.ingrammicro.com

Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey!

We are seeking a highly motivated Sr. Software Engineer in Test (SET) to drive quality engineering excellence through modern test automation, AI-enabled testing practices, and continuous quality innovation across enterprise platforms and applications.

Your Role:

Quality Engineering Leadership

Demonstrate understanding of end-to-end Supply Chain business processes including Order Management, Procurement, Inventory Management, Warehouse Management, Logistics, Transportation, Fulfillment, Returns Management, and Customer Delivery.

Design and execute automation strategies for mission-critical supply chain platforms supporting high-volume order processing, inventory visibility, shipment tracking, and fulfillment operations.

Ensure quality validation of integrations across enterprise supply chain systems including in depth in one of the following :

• ERP platforms (SAP, Oracle, Dynamics)
• Warehouse Management Systems (WMS) / Transportation Management Systems (TMS)
• Order Management Systems (OMS)
• EDI and B2B integration platforms

Develop automated test solutions for complex supply chain workflows including:

• Order-to-Cash (O2C)
• Procure-to-Pay (P2P)

Test Automation Architecture & Development

Design and develop scalable automation frameworks using modern technologies including Playwright, Selenium, Cucumber, REST Assured, Appium, and TestNG.

Build reusable automation libraries, utilities, and accelerators for UI, API, integration, and end-to-end testing.

Develop test tools, mock services, test data generators, simulators, test beds, and other quality engineering infrastructure components.

Ensure automation solutions are maintainable, scalable, and integrated into CI/CD pipelines.

AI-Driven Quality Engineering

Champion adoption of AI-powered testing and automation capabilities across engineering teams.

Implement AI-assisted test generation, intelligent test selection, self-healing automation, test data generation, and defect prediction capabilities.

Leverage Generative AI and engineering copilots to improve test coverage, accelerate automation development, and increase engineering productivity.

Evaluate emerging AI-enabled quality engineering tools and drive innovation initiatives across the organization.

Agile Delivery & Continuous Testing

Collaborate closely with Product Owners, Architects, Business Analysts, and Development teams to define quality strategies and test approaches.

Participate in sprint planning, estimation, backlog refinement, and release planning activities.

Foster and maintain Behavior-Driven Development (BDD) and Test-Driven Development (TDD) practices.

Plan, execute, and manage sprint-based testing cycles in Agile and Scrum environments.

DevOps, CI/CD & Release Engineering

Integrate automated testing into CI/CD pipelines and release management processes.

Support Release Automation and Deployment Automation across multiple application environments.

Enable continuous quality measurement through continuous integration and continuous testing practices.

Partner with DevOps teams to improve deployment confidence and release quality.

Cloud, Monitoring & Operational Excellence

Support testing and quality validation of cloud-native applications and distributed systems.

Implement testing strategies for applications deployed on AWS, Azure, Cloud Foundry, Kubernetes, and Docker platforms.

Utilize monitoring, logging, dashboarding, and analytics tools such as Grafana, Kibana, and Elasticsearch for quality analysis and operational insights.

Monitor quality metrics, test effectiveness, automation coverage, and production quality trends.

Technical Excellence & Mentorship

Conduct automation code reviews and ensure adherence to engineering standards and best practices.

Mentor and coach team members on automation technologies, domain knowledge, quality engineering principles, and emerging technologies.

Drive continuous improvement initiatives and quality transformation programs across teams.

Research new tools, frameworks, and technologies and recommend strategic adoption opportunities.

Refactor legacy applications to improve testability and support unit, integration, and end-to-end testing.

What You Bring to the Role:

Bachelor's degree in computer science, or relevant science