> For the complete documentation index, see [llms.txt](https://docs.astrafy.io/handbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.astrafy.io/handbook/its-all-about-people/hiring-process.md). # Hiring process > "It doesn't make sense to hire smart people and then tell them what to do; we hire smart people so they can tell us what to do." Steve Jobs At Astrafy, we are engineering the premier Data & AI agency. To do that, we need builders who execute relentlessly, communicate directly, and possess true mental availability. We do not believe in unnecessarily long interview loops or trick questions. Our hiring process is designed to be rigorous but efficient—giving you the opportunity to showcase your true capabilities while giving us both the chance to see if we are a perfect mutual fit. Here is exactly what you can expect when you apply to join our team. #### Step 1: The Mutual Discovery (30 Minutes) This is a relaxed, initial conversation with our Talent team or a hiring manager. The goal is simple: mutual alignment. We want to understand your career ambitions, what drives you, and what you are looking for in your next role. We will also give you a transparent look into Astrafy’s rapid scale-up environment, our current challenges, and what we expect from our team. * What we look for: Communication skills, enthusiasm for Data & AI, and early indicators of the Astrafy DNA. #### Step 2: The Technical Execution (Take-Home or Live Pair Programming) We are doers, not talkers. To evaluate your technical depth, we will ask you to complete a technical challenge that closely mirrors the actual work you will do for our clients. Depending on the role, this might be a timeboxed take-home assignment or a live pair-programming session with one of our senior engineers. * What we look for: Relentless execution, clean and scalable code, problem-solving methodology, and how you handle modern data stacks or Gen AI frameworks. #### Step 3: The Deep Dive & Architecture Review (60 Minutes) If you pass the technical execution phase, you will meet with our technical leads to review your work and dive deeper. We will discuss your technical choices, explore alternative architectures, and see how you think on your feet when requirements change. * What we look for: Engineering rigor, the ability to leave your ego at the door when receiving feedback, and deep contextual knowledge of system architecture. #### Step 4: The Astrafy DNA Fit (45 Minutes) Your final interview will be with one of our Founders or Directors. This conversation moves away from pure code and focuses entirely on culture, mindset, and trajectory. We will dive into our core values—like True Mental Availability, Intentionality, and Humility—to ensure you will thrive in our fast-paced environment. * What we look for: Radical candour, a strong bias for action, and a genuine passion for continuous learning. #### Step 5: The Offer (Within 48 Hours) If it is a resounding "yes" from both sides, we move with military-grade precision. We do not leave candidates waiting. You can expect a highly competitive, transparent offer within 48 hours of your final interview. #### Our Promise to You * Speed & Respect: We value your time. We aim to complete the entire process—from initial screen to final offer—in under two weeks. * Transparency: We will not leave you in the dark. You will always know where you stand and what the next steps are. * Constructive Feedback: Whether we move forward with an offer or not, if you make it past the technical stage, we will provide you with candid, actionable feedback to help you grow. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.astrafy.io/handbook/its-all-about-people/hiring-process.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.