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Infrastructure Engineer, AI & Data Security
HomeVisionInfrastructure Engineer focusing on AI and data security for software in the mortgage industry. Working on secure infrastructure and data-access security while managing independent projects.
Tech Stack
Tools & technologiesAWSGoPythonTerraformTypeScript
About the role
Key responsibilities & impact- Plan, design, and build
- - Secure infrastructure for AI-assisted development and testing
- - Data-access security across the platform
- - Cross-cutting application features
- You will manage your own projects, communicating designs, plans, and status updates proactively. We work in Go, Python, and TypeScript with a focus on reliability and observability.
Requirements
What you’ll need- Strong backend engineering experience
- A security-first mindset: you naturally consider data access and potential leak vectors for every process, person, and agent.
- Genuine interest in AI/LLM systems and the infrastructure that makes them safe and reliable to build on
- The ability to take an ambiguous, hard problem from design doc to production
- Strong verbal and written communication in English
- Experience with Infrastructure-as-Code (Terraform) and observability tooling (e.g. Datadog)
- Experience designing infrastructure on AWS — isolation/sandboxing, networking, and the primitives that keep systems secure under real load
- Residence in Rosario or Buenos Aires (Residence in Argentina is mandatory)
Benefits
Comp & perks- A competitive salary in USD
- A high degree of autonomy and ownership of your work
- Support for your professional goals and learning within and beyond the company, through your manager and peers
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GoPythonTypeScriptData Access SecurityAI/LLM SystemsObservability ToolingInfrastructure DesignProject ManagementProblem Solving
Soft Skills
Verbal CommunicationWritten Communication