Senior Security Engineer - (AI, Automation & Platforms) - Argentina, Brazil, Eastern Europe, Romania, Spain & Uruguay (Remote)
Role details
Job location
Tech stack
Requirements
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The "Builder" DNA: 5-7 years engineering experience that loves writing code, piecing together APIs, and seeing a system come to life.
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Strong Coding/Scripting Chops: Proficiency in Python is a must. You are comfortable writing production-quality code, working with APIs, and managing version control (Git).
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AI & LLM Fluency: You aren't just asking chatbots questions; you understand how to build with them. Experience with AI agents, LLM APIs (OpenAI, Anthropic), or frameworks (LangChain, MCP) is highly desired.
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Automation Mastery: Deep experience with SOAR platforms (Tines for example) or custom workflow automation. You know how to turn a complex human process into a button click.
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Platform Engineering Mindset: You think in systems. You understand how to maintain the health of a platform, ensure uptime, and monitor performance.
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Broad Security Knowledge: You don't need to be an expert in everything, but you need to know enough about IR, Cloud, GRC, and AppSec to understand what you are automating.
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Problem-Solving at Scale: You don't solve for "one time," you solve for "every time." You are obsessed with efficiency and 100x scalability.
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Autonomous Ownership & Grit: You take end-to-end ownership of fuzzy problems and chase the goal, not just the task. You are proactive and resilient, capable of solving problems autonomously without close supervision. However, you also have the judgment to raise your hand immediately for clarification or support when you hit a dead end, ensuring you never spin your wheels. Nice to Have:
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Experience building internal developer platforms or security data lakes.
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Familiarity with Data Engineering concepts.
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Experience with Model Context Protocol (MCP) or building custom AI tools.
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Background in software engineering before moving into security.