Candidate briefing for
Leon
from
Cortea AI
Software Engineer with expertise in Python, SQL, and cloud infrastructure. Designs scalable backend systems, builds high-performance APIs, and implements asynchronous data pipelines. Experienced in deploying secure RAG systems, managing Terraform-based GCP setups, and developing authentication for SaaS platforms. Skilled in fast-paced, startup environments.
Our latest summer batch had an acceptance rate of just 1.79%.
Out of 4,340 applications, 1,982 were manually pre-screened, 588 were interviewed, and 211 were given a take-home project to assess critical skills like market research, lead generation, multi-channel outreach, and cold-calling. These projects are designed to identify top talent capable of excelling in real-world scenarios. Ultimately, only 78 candidates made it into our active talent pool.
With over three years of experience in backend engineering, this software engineer specializes in Python and SQL, with a strong focus on performance and scalability. Known for building and optimizing asynchronous data pipelines and APIs, they have achieved up to 40% improvement in system efficiency. Their work includes implementing secure Retrieval-Augmented Generation (RAG) pipelines for AI-powered audits and automation workflows. Proficient in infrastructure automation, they have successfully deployed scalable cloud solutions using Terraform and GCP. Additionally, they bring expertise in developing secure authentication and user management systems for SaaS platforms, combined with a DevOps-first approach to software delivery.
This candidate is a strong fit for the Founding Backend Engineer role given their proven experience in designing and scaling backend systems using Python and direct SQL, with a solid command of PostgreSQL—directly aligning with your requirement for hands-on relational database experience. At HelloFresh, they led the development of asynchronous, queue-based pipelines and secure Retrieval-Augmented Generation (RAG) systems, demonstrating both the technical depth and domain relevance your AI-auditing product demands. Their background also includes deploying cloud infrastructure with Terraform and GCP, building user authentication systems for SaaS platforms, and working in startup environments, which makes them well-prepared for the fast-paced, high-ownership nature of the role. Currently based in Berlin and already integrated into the German tech ecosystem, they meet your location requirement and are positioned to contribute from day one—technically, strategically, and culturally.
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