Full Stack Engineer

Kanary · Cyber Security

unknownRemote

Salary Range (USD)

Negotiable

Location

USA

Visa Support

Not Supported

Funding Stage

Unknown

Job Responsibilities

  • Develop and maintain full‑stack applications using Python, JavaScript, and React
  • Build web‑scraping pipelines and data processing workflows
  • Integrate LLM services such as Anthropic and OpenAI into the platform
  • Collaborate with security analysts to enhance threat detection capabilities
  • Contribute to a dynamic, adversarial programming environment

Required Skills

PythonJavaScriptReactWeb scrapingData pipelinesSecurity tooling2+ years of engineering experienceAuthorized to work in the USA

Engineering Culture & Tech Stack

PythonJavaScriptReact

Raw Post

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Kanary | Full Stack Engineer | Remote (US) | Competitive Salary + Equity | Python / React Kanary is a personal security platform that monitors the web to identify and reduce risk based on an individual's threat model. An executive has different exposure than a gamer, and our system classifies each person's risk across 55,000+ sources. We've been building since 2020, started in campaign security, data science, and government agencies, backed by Mozilla and Y Combinator. We have 200+ organizations on the platform and are fully funded by our customers. Attackers have never had better tools. LLMs, social media, and search surface personal data in new ways. A few prompts can launch a deepfake and impersonation campaign. Risk sources appear and disappear across social platforms, telegram chats, and private data broker platforms. Kanary exists to play the cat and mouse game for people at the speed and scale of an agentic internet. Kanary is a combination of software workflows (crawling, scraping, automation), AI (data classification, research, code generation), and people (analysts trained to support customers and escalate). This is dynamic system and requires an interest in adversarial programming. We’re growing our team, and seeking a multifaceted engineer (2+ years experience). Our software stack is python, javascript, react, and for LLMs, we use Anthropic, OpenAI, and experiment with model fine tuning as needed. Experience with web scraping, data pipelines, or security tooling is required. Must be authorized to work in the US. We’ll evaluate submissions for two weeks. Email steven@kanary.com with something you've built and why it was hard. Learn more here: https://www.kanary.com/join-the-team#senior-software-enginee...

AI Risk Insights

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Data Source

Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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