WHO YOU’LL WORK WITH
This role typically reports to Manager Software Engineering within Global Converse Technology (ITC), within the Supply chain, Planning and Corporate Functions
Product Managers and Business Partners across Supply Chain, Planning, Finance, and corporate functions
Software Engineers and Integration Engineers
Platform, DevOps, and Site Reliability Engineering (SRE) teams
Data Engineering, Analytics, Architecture, and Security teams
External technology vendors and system integrators
WHO WE ARE LOOKING FOR
We are seeking a Senior Software Engineer – Quality Management - for Global Converse, ITC, within the Supply chain, Planning and Corporate Functions. You will build reliable, secure, and scalable systems— partnering across product, design, and platform teams to deliver meaningful consumer and enterprise experiences. This is a hybrid role that combines hands‑on software engineering with quality engineering and testing responsibilities.
You will contribute to building, testing, and delivering enterprise solutions that support Supply Chain, Planning, and Corporate Functions, with the flexibility to take on engineering or QA work as needed. The ideal candidate has strong coding fundamentals, understands end‑to‑end delivery, and brings a quality‑first mindset to everything they build.
Details on qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field.
Will accept any suitable combination of education, experience, and training.
7+ years of experience in a hybrid QA, Quality Engineering, or Software Engineering role supporting enterprise systems.
Strong coding skills in one or more of the following: Java, JavaScript/TypeScript, Python, or similar languages.
Hands on experience with automated testing frameworks for API, UI, and service level testing (e.g., Selenium, Cypress, Playwright, REST assured, Postman, Karate).
Solid understanding of software delivery lifecycle, including requirements, development, testing, release, and production support.
Experience testing and/or building integrations and data flows using APIs, messaging, and batch processing.
Working knowledge of CI/CD pipelines and how to integrate automated tests into build and deployment workflows.
Experience validating data accuracy and integrity, with working knowledge of SQL and data reconciliation techniques.
Exposure to Supply Chain, Planning, ERP, or Finance systems (order management, inventory, planning, financial posting) is highly preferred.
Familiarity with cloud environments (AWS and/or Azure).
Strong communication skills and the ability to collaborate effectively across engineering and business teams.
A flexible mindset, comfortable switching between engineering delivery and QA ownership based on team needs.
Exposure to AI assisted development or testing tools—or a strong interest in learning and applying AI to improve engineering productivity and quality
Experience with AI/ML technologies or a strong interest and demonstrated eagerness to learn and apply AI driven solutions to improve software design, development, and operational efficiency.
Strong collaboration, communication, and growth mindset.
WHAT YOU’LL WORK ON
Responsibilities:
Contribute hands on engineering work, including building and enhancing services, integrations, and automation supporting enterprise platforms.
Design, develop, and execute test strategies, test plans, and test cases across functional, integration, system, and regression testing.
Write and maintain automated tests (API, service level, UI, and data validation) using modern frameworks and tooling.
Test and validate end to end business workflows across Supply Chain, Planning, Finance, and Corporate systems.
Partner with engineers to design for testability, review code changes, and identify quality risks early in the development lifecycle.
Validate integrations and data flows between systems such as ERP, OMS, WMS, Planning tools, and Finance platforms (REST APIs, events, batch jobs).
Integrate automated tests into CI/CD pipelines, helping enforce quality gates and release readiness.
Participate in feature delivery, production validation, and post deployment support as needed.
Identify, document, and track defects; collaborate with engineering teams on root cause analysis and resolution.
Support release planning and execution, including smoke testing, sanity checks, and rollback validation.
Continuously improve engineering and QA practices, tools, and standards across the team.
Contribute to architecture evolution, security by design, and cost-efficient solutions.
Mentor engineers through pairing, feedback, and knowledge sharing.
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