Community Engineer at Karat (Brilliant Black Minds)
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Job Description
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Our Brilliant Black Minds (BBM) team is committed to increasing access for diverse software engineers by connecting a community of 11,000+ members with networks, opportunities, and the technical interview preparation they need to thrive.
What you will do
As a Community Engineer at Karat, you will drive the technical evolution of Brilliant Black Minds, building AI-powered tools, automations, and experiences that serve a community of 11,000+ diverse software engineers. This role is 70% hands-on engineering and 30% community program management; you will be the sole engineer on the program, and staying close to the community is as important as the code you ship.
- 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.
The experience you will bring
- 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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Karat
View Company ProfileKarat is a highly disruptive, billion-dollar unicorn that has fundamentally revolutionized the technical hiring process by pioneering the world's first "Interviewing Cloud." Founded in 2014 by Mohit Bhende and Jeffrey Spector, and headquartered in Seattle, Washington, the company solves the massive global shortage of software engineers by completely outsourcing technical interviews. Under the hood, Karat leverages a massive global network of vetted "Interview Engineers" supported by purpose-built interviewing infrastructure and AI-driven market intelligence to conduct highly predictive, fair, and 24/7 technical assessments. Their primary target audience spans hyper-growth tech startups and massive global enterprises (like Atlassian, Citi, and Mastercard) that desperately need to reclaim thousands of hours of internal engineering bandwidth while eliminating pedigree bias. What sets Karat apart in the incredibly competitive HR Tech landscape is its massive scale—having conducted over 500,000 interviews—and its profound commitment to equity, highlighted by their strategic acquisitions (like Triplebyte and Byteboard) and the "Brilliant Black Minds" program, effectively transforming how the tech industry identifies and hires elite engineering talent at scale.
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