What is a QA Engineer at Altos Labs?

As a QA Engineer—specifically operating as a Senior Automation Engineer within the Drug Discovery Development Sciences team—you are stepping into a role that bridges cutting-edge software engineering with groundbreaking biological research. Altos Labs is pioneering the science of cellular rejuvenation programming to restore cell health and resilience. In this environment, software and automation are not just operational tools; they are the fundamental engines driving scientific discovery.

Your impact in this position is immense. You will be responsible for ensuring the reliability, precision, and scalability of the automated systems and software platforms that our scientists rely on daily. A single software bug or data pipeline failure in drug discovery can compromise months of research. By designing robust automation frameworks, you directly accelerate the pace at which Altos Labs can analyze experimental data, screen compounds, and push the boundaries of modern medicine.

Expect a highly collaborative, intellectually stimulating environment. You will not be working in a siloed software team; instead, you will partner directly with computational biologists, research scientists, and data engineers. This role requires a unique blend of technical rigor, systems thinking, and a deep appreciation for the scientific method. You will be building the safety nets and validation pipelines that allow our drug discovery teams to move fast without sacrificing scientific integrity.

Common Interview Questions

Getting Ready for Your Interviews

Preparing for an interview at Altos Labs requires more than just brushing up on coding algorithms. You need to demonstrate how your technical expertise translates into building reliable systems for complex, data-heavy environments.

Here are the key evaluation criteria you will be measured against:

Technical Excellence in Automation – This evaluates your ability to design, build, and maintain scalable automation frameworks from scratch. Interviewers want to see that you can write clean, efficient code (typically in Python) and integrate testing seamlessly into CI/CD pipelines. You can demonstrate strength here by discussing specific architectural choices you have made in past automation projects.

Systems Thinking and Problem Solving – In drug discovery, software interacts with laboratory instruments, massive datasets, and complex scientific workflows. This criterion tests your ability to understand the broader system architecture. You will be evaluated on how you identify edge cases, handle data integrity, and troubleshoot failures across interconnected systems.

Cross-Functional Collaboration – You will be working alongside domain experts who may not have software engineering backgrounds. Interviewers will assess your ability to translate complex scientific requirements into technical test plans. Strong candidates will share examples of how they have successfully communicated and aligned with non-technical stakeholders.

Adaptability and Culture Fit – Altos Labs operates at the edge of known science, meaning ambiguity is a constant. You are evaluated on your resilience, your curiosity to learn new domains (like biology or lab operations), and your proactive approach to continuous improvement. Show that you thrive in dynamic, mission-driven environments.

Interview Process Overview

The interview process for a Senior Automation Engineer at Altos Labs is designed to be rigorous, collaborative, and deeply reflective of the actual work you will do. It typically begins with a recruiter phone screen to align on your background, compensation expectations, and mutual interest. This is followed by a technical screen with a hiring manager or senior engineer, which usually involves a mix of high-level framework design discussions and a practical coding or scripting exercise.

If you progress to the virtual onsite stage, expect a comprehensive loop consisting of four to five distinct sessions. These rounds will dive deep into your coding proficiency, your approach to building automation infrastructure, and your system design capabilities. Because of the interdisciplinary nature of the Drug Discovery Development Sciences team, you will also meet with cross-functional partners, such as data scientists or computational biologists, to assess your collaborative skills and behavioral alignment.

Altos Labs places a heavy emphasis on data integrity and user focus. Throughout the process, interviewers are not just looking for the "right" technical answer; they are observing how you ask clarifying questions, how you handle ambiguity, and how you prioritize the needs of the end-user (in this case, the scientists).

This visual timeline illustrates the typical progression from initial screening through the comprehensive onsite loop. Use this to pace your preparation—focus heavily on core coding and framework design for the early stages, and broaden your focus to system architecture, cross-functional communication, and behavioral scenarios as you approach the final rounds.

Deep Dive into Evaluation Areas

To succeed in the Altos Labs interview loop, you must demonstrate mastery across several distinct technical and behavioral domains. Below is a breakdown of the primary evaluation areas.

Test Automation Frameworks & Architecture

As a Senior Automation Engineer, you are expected to be an architect of quality, not just a script writer. This area evaluates your ability to design robust, scalable, and maintainable automation frameworks from the ground up. Interviewers want to see that you understand the trade-offs between different testing strategies and tools.

Be ready to go over:

• Framework Design Patterns – Page Object Model, data-driven testing, and modular architecture.
• Tool Selection – Justifying the use of specific tools (e.g., PyTest, Selenium, Cypress) based on project requirements.
• API & Backend Testing – Validating microservices, data pipelines, and complex backend logic.
• Advanced concepts (less common) – Performance testing strategies, mock server creation, and contract testing for microservices.

Example questions or scenarios:

• "Walk me through how you would design an automation framework from scratch for a new internal data-visualization tool used by our researchers."
• "How do you handle test data management in an environment where the data is highly sensitive and constantly changing?"
• "Describe a time you had to refactor a legacy automation suite. What metrics did you use to measure success?"

CI/CD and Infrastructure

Building a great test suite is only half the battle; integrating it seamlessly into the software development lifecycle is the other. Altos Labs relies heavily on continuous integration to keep scientific tools reliable. You will be evaluated on your hands-on experience with modern DevOps practices.