Senior Software Engineer, AI Intelligence Platform

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Aura

Aura

501 - 1000 employees

☁️ SaaS

🛍️ eCommerce

👥 B2C

SaaS • eCommerce • B2C

Aura is a leading bio link tool provider, known for its platform Linktree which allows users to unify all their social media links and online presence into a single bio link. With over 50 million users, including creators, influencers, and small businesses, Aura's Linktree helps users efficiently share and monetize their content across various social media platforms like Instagram, TikTok, and Twitter. The platform provides extensive analytics to track audience engagement and optimize link performance. Aura empowers users by offering customizable features, payment integration, and the ability to drive offline traffic online using QR codes, making it a versatile and crucial tool for digital creators and businesses.

📋 Description

• Design, document, and drive architecture for key platform components focused on scalability, reliability, security, and business alignment • Own complex initiatives from architecture and design through development, deployment, and iteration • Translate ambiguous product goals into clear, scalable technical requirements • Build a unified, trusted, high-quality source of Aura's data for intelligence generation • Architect secure AI-agent access to sensitive data using least-privilege access, strong isolation, and enforceable privacy guarantees • Build systems that turn intelligence into personalized insights and safety actions for customers and families • Make and defend technology choices balancing scalability, cost, and operational simplicity • Champion security, privacy, observability, testing, and operational excellence practices • Mentor engineers on design challenges, performance tuning, and system reliability

🎯 Requirements

• 5 - 8+ years of professional software engineering experience, with a track record of designing and shipping complex, large-scale distributed systems • Deep experience owning systems end-to-end on complex projects, from architecture through production operation • Strong knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals • In-depth knowledge of cloud technology and judgment to choose appropriate tools, including serverless functions, containerized services, relational and NoSQL databases, caches, queues, and data-processing pipelines • Demonstrated experience building systems that handle sensitive or regulated data, with security and privacy as first-class design constraints • Exceptional communication and collaboration skills, including explaining complex technical concepts to technical and non-technical stakeholders and building cross-team alignment • Ability and desire to learn new technologies and move quickly in a fast-evolving AI landscape • Bachelor's Degree in Computer Science or a related field, or equivalent work experience • Preferred: experience building AI/LLM-powered systems in production, security/privacy engineering or trust & safety, large-scale data platforms, AWS, and Infrastructure as Code

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