Description :

Who are you?.

You are smart, collaborative and take ownership to get things done.

You love to learn and are intellectually curious in business and technology tools, platforms and languages.

You are energized by solving complex problems and bored when you dont have something to do.

You love working in teams, and are passionate about pulling your weight to make sure the team succeeds.

What will you be doing at Atrium?.

At Atrium, we believe that quality is a shared responsibility, not a siloed phase.

As a Quality Engineer on our AI Platforms team, you will play a critical role in the evolution of Andi, Atriums AI-powered Salesforce configuration and development agent.

Andi is designed to dramatically accelerate Salesforce work, from admin configuration to complex development, while maintaining enterprise-grade security, governance, and human oversight.

You will join a cross-functional team of developers and architects to build full-stack solutions.

Your mission is to bring a disciplined QE mindset to our AI platform, implementing robust automation frameworks, performing deep exploratory testing, and ensuring that our agentic workflows produce high-quality, reliable results.

We are looking for a passionate technologist who loves to hone their craft and stay ahead of the innovation curve in automated delivery.

In This Role You Will:

- Own the Quality Strategy: Develop and execute comprehensive testing strategies for our AI Agent platforms, ensuring coverage across the entire application (UI, API, Agent Service, Data Platforms, etc.

- Drive Automation: Design, implement, and maintain automation frameworks that validate agent behavior and integration points.

- Shift Left: Collaborate with developers and stakeholders early in the lifecycle to define acceptance criteria and build quality into the product from the start.

- Perform Exploratory Testing: Conduct deep-dive exploratory testing on product builds to identify edge cases that automated scripts might miss.

- Performance & Load Testing: Assess system responsiveness and resource consumption to ensure features meet enterprise performance benchmarks.

- DevOps & Build Engineering: Integrate automated tests into CI/CD pipelines to support high-velocity, high-quality delivery.

- Application Security Testing: Collaborate with the team to identify vulnerabilities and ensure the platform maintains enterprise-grade security standards.

- Facilitate Defect Management: Lead defect triage sessions and work closely with the engineering team to prioritize and resolve issues.

- Promote Shared Ownership: Act as a quality advocate within the team, helping everyone understand and contribute to quality goals.

In This Role, You Will Have:

- 5+ years of professional testing experience within an Agile/Scrum environment, with a deep understanding of the full software development lifecycle.

- 3+ years of hands-on coding experience in Python, TypeScript, or similar language (Python preferred).

- Strong Automation Expertise: Proven success in building and maintaining test automation for APIs, services, and web-based UIs.

- Cloud Platform Experience: Experience testing cloud-based applications on at least 1 provider (GCP, AWS, or Azure).

- Data Validation Skills: Experience testing data-driven systems and ensuring data integrity across different environments.

- A "Shift Left" Mentality: Experience embedding quality practices early in the cycle and maintaining system health post-release.

- Analytical Mindset: The ability to break down complex, non-linear workflows into testable components.

- Collaborative Spirit: Excellent communication skills and a desire to work in a highly interactive, team-based environment.

In this role, it will be nice to have:

- AI/ML Familiarity: Basic understanding of AI concepts such as LLMs, prompt engineering, or Retrieval-Augmented Generation (RAG).

- AI Evaluation Concepts: Familiarity with modern AI testing techniques, such as LLM-as-a-judge, RAG-based retrieval and relevance metrics, agentic system and tool use evaluations, and adversarial testing for safety and security.

- Salesforce Ecosystem Knowledge: Experience with Salesforce configurations or an understanding of Salesforce metadata structures.