Community Engineer, SWE3

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Karat

201 - 500 employees

👥 HR Tech

🏢 Enterprise

☁️ SaaS

💰 Funding Round on 2022-04

HR Tech • Enterprise • SaaS

Karat is a company that provides an innovative, end-to-end solution for technical hiring. Its platform improves the quality, efficiency, and equity of the hiring process for organizations by offering 24/7 interviews and unlimited capacity with expert interviewers. Karat aims to delight candidates with a fair, friendly, and engaging experience while reclaiming engineering bandwidth through real interviews. The company also focuses on equitable and inclusive hiring, internal mobility, and global hiring solutions, ensuring a diverse and well-evaluated pool of candidates. With its human and technology approach, Karat integrates seamlessly into existing processes, offering a reliable and consistent interview experience.

📋 Description

• Lead projects end-to-end from design through release, including those with significant ambiguity. • Build and maintain clean, scalable services, components, and APIs; take accountability for the quality and reliability of all code you touch. • Integrate LLM APIs and AI-enhanced capabilities into BBM's technical interview preparation offerings, helping the community stay current with AI-era engineering practices. • Leverage AI-assisted development as a core part of your engineering workflow to move quickly and build efficiently as a solo engineer • Build tooling and automations that scale BBM's community operations, including newsletter workflows, Discord integrations, and candidate-facing resources. • Manage day-to-day community operations: moderating Discord, engaging members across experience levels, and participating in study groups. • Identify gaps in what the community needs, design solutions, and ship them.

🎯 Requirements

• 5+ years of professional experience designing and shipping web applications or distributed systems to production • Proficiency in modern programming languages and frameworks (experience with Python, JavaScript/TypeScript, or Ruby strongly preferred); comfort across the stack and with API design • Experience with system architecture, database design, cloud infrastructure, and deployment technologies (AWS, GCP, or Azure) • Familiarity with LLM APIs or AI-enhanced product features; curiosity about how AI/ML technologies can enhance assessment, learning, or community experiences • A track record of delivering projects independently, from problem identification to shipped solution, with high-quality output • Active involvement in the technical community as a mentor, advisor, or contributor, and genuine comfort engaging with engineers across all experience levels, from new grads to senior engineers • Strong written and verbal communication skills; ability to translate technical concepts clearly for a non-technical audience when needed • Experience building community-facing technical products or tooling, such as Discord bots, automation workflows, developer portals, or equivalent, is a strong plus.

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