Software Development Engineer in Test

Athos Commerce enables ecommerce and digital marketing teams greater control over how their products are found, merchandised, and sold—on-site and across all digital marketing channels. Our tools span AI-powered search, personalized recommendations, smart merchandising, optimized product data syndication, A/B Testing and marketplace/social commerce performance.

We help brands grow with sharper visibility, higher conversion, and less friction. Backed by PSG Equity and supported by a global team across North America, Europe, and APAC, we are building practical, powerful tools for the next era of commerce. Athos Commerce unites shopper intent and product visibility across every touchpoint.

• A quality-focused engineer who enjoys solving complex technical problems and building scalable solutions.
• Highly analytical and comfortable investigating issues beyond the UI, including APIs, logs, databases, pipelines, and production telemetry.
• Automation-minded, with a strong desire to eliminate repetitive manual testing through better tooling and workflows.
• Curious and proactive, with the ability to determine what needs testing and why rather than relying solely on predefined test cases.
• Comfortable working independently while collaborating closely with engineering, QA, and product teams.
• Pragmatic about AI, understanding both where it can accelerate engineering work and where human judgement remains essential.
• Clear and thoughtful in your communication, particularly when explaining technical problems, risks, and trade-offs.
• Motivated by continuous improvement and making quality engineering easier for the teams around you.

In this role, you will help build the systems, automation, and quality practices that enable Athos engineering teams to ship software quickly and confidently. You will work closely with the Head of QA and engineering teams to develop AI-assisted quality workflows, strengthen test automation, improve CI/CD quality gates, and make production failures easier to identify and diagnose. You will work hands-on across C#, TypeScript, APIs, data, pipelines, and observability rather than focusing solely on UI testing. Your work will help Athos reduce manual checking, catch failures earlier, and create stronger evidence behind every release.

• Build AI-assisted quality workflows that help engineers generate, maintain, and triage test assets more efficiently.
• Build and maintain automated testing across UI, API, and data layers.
• Support the migration of the existing C# Selenium automation framework to Playwright with TypeScript.
• Integrate reliable automated test execution and quality gates into Azure DevOps CI/CD pipelines.
• Investigate failures across application logs, APIs, databases, telemetry, test environments, and production systems.
• Improve observability and production quality through monitoring, alerting, and better visibility into feed and syndication failures.
• Contribute to test strategy, including determining what should be tested, at which layer, and where automation provides the greatest value.
• Support release and pre-release quality by identifying what has been verified and communicating residual risk.
• Review pull requests and contribute hands-on code that improves quality tooling and automation.
• Share knowledge and help make effective quality engineering practices easy for other engineers to adopt.

• 3+ years of software testing experience spanning both hands-on testing and test automation.
• Strong C#/.NET experience with the ability to independently write and maintain production-quality automation code.
• Experience working within and extending test automation frameworks; experience building a framework from scratch is a plus.
• Hands-on CI/CD experience with Azure DevOps or a comparable platform, including diagnosing failed pipeline runs.
• Strong SQL skills with the ability to independently query databases and validate application data.
• Experience troubleshooting beyond the UI using APIs, application logs, databases, and other technical signals.
• Strong understanding of test design, including negative testing, boundary conditions, invalid data, partial failures, and other non-happy-path scenarios.
• Meaningful experience using AI tools in software engineering or quality workflows, with the ability to evaluate and validate AI-generated outputs.
• Clear written and verbal English communication skills.
• Existing right to work in the UK and ability to travel to Athos' Victoria, London office approximately once per month. Visa sponsorship is not available for this role.