Quality Engineer

Archer Daniels Midland

2h 31m ago

On-site

Full Time

The Quality Engineer is embedded within a Product team and helps engineer quality continuously from discovery through production learning. The role combines risk analysis, test design, exploratory testing, manual and automated execution, integration testing, regression, defect analysis, CI/CD feedback, and quality evidence. The Quality Engineer is the Product team’s primary testing specialist while reinforcing that delivery quality is owned by the whole Product team.
Your Responsibilities:

Partner with Product Owners, developers, System Analysts, business representatives, architects, platform teams, Security, and Operations during planning, refinement, delivery, and release activities
Identify quality risks, dependencies, acceptance examples, testability needs, test data, environments, and evidence requirements early in delivery
Design, create, execute, and maintain manual and automated tests for functional, API, integration, data, regression, and business-workflow validation
Perform exploratory testing to identify edge cases, usability concerns, business exceptions, and risks not covered by automated checks
Collaborate with developers on testability, unit and component coverage, contract testing, diagnostics, observability, and fast feedback without taking ownership of developer tests
Design, develop, maintain, and troubleshoot automation using Tricentis Tosca or other Product or platform-approved technologies
Integrate reliable automated checks into Azure DevOps, GitHub, or approved CI/CD pipelines in partnership with Engineering and platform teams
Maintain automation through source control, peer review, clear assertions, useful diagnostics, controlled test data, and explicit ownership
Plan and complete the QA Validation Cycle for production changes, including integration evidence, targeted exploration, defect disposition, and the smaller QA smoke regression in the QA environment
Plan and support the UAT / Business Assurance Cycle, including business-workflow evidence, critical journeys, business participation, and the full maintained regression baseline in UAT
Build and maintain the Product’s QA smoke and UAT full-regression baselines using risk, change impact, incidents, dependencies, and production learning
Use Azure DevOps as the authoritative system of record for test cases, execution results, defects, exceptions, risks, business confirmations, and quality decisions
Log actionable defects, support collaborative triage and retesting, and clearly distinguish Product, automation, data, environment, configuration, and dependency failures
Communicate the Product quality position, including tested scope, material failures, blocked evidence, unresolved defects, residual risks, owners, and recommended actions
Use quality and flow measures to improve feedback speed, regression reliability, automation health, environment readiness, test-data readiness, and escaped impact
Use production incidents, defects, and telemetry to improve test scope, automation, observability, testability, and regression protection
Engage specialist automation, performance, security, accessibility, platform, or test-delivery capabilities when Product risk requires additional expertise
Apply AI-assisted testing responsibly through human review, traceability, data protection, repeatable evaluation, and maintenance ownership

Required Skills

azure_devopsgithub

Required Languages

🇬🇧 English