Infrastructure Software Engineer, AI & Data Security (Contract, Argentina)

HomeVision; Argentina; On-site; ARS 134,182,160 - 208,727,804; Full time

Benefits offered by this job

Competitive USD salary

Autonomy & ownership

Job summary

HomeVision is building the next generation of AI-driven mortgage software. We seek a backend-focused infrastructure engineer to secure and scale MIRA’s AI‑powered platform across the loan file, with a focus on reliability and security.

You will work with Go, Python, and TypeScript, leveraging Terraform and AWS in a security‑minded environment to deliver production-ready infrastructure and tooling.

Qualifications

• Strong backend engineering experience.
• Security-first mindset with data access awareness.
• Interest in AI/LLM infrastructure and reliability.

Responsibilities

• Plan, design, and build secure infrastructure for AI-assisted development and testing.
• Manage data-access security across the platform.
• Develop cross-cutting application features.

Skills

Backend engineering

Security-first mindset

AI/LLM infrastructure

Design to production

English communication

Tools

Terraform

AWS

Datadog

Job description

ABOUT HOMEVISION

HomeVision is building the next generation of AI‑powered software for the $13 trillion mortgage industry. Our platform, MIRA (Machine Intelligence Review Assistant), automates labor‑intensive document processing and underwriting, helping lenders close loans faster and with less friction — ultimately saving borrowers time, money, and stress. We have already transformed appraisal operations for the country's top lenders, cutting review times by over 75%. Now, we are aggressively expanding MIRA to cover the entire loan file — automating income, assets, and credit analysis — to create a holistic underwriting utility for the industry.

We look for hungry, smart, curious and kind people who enjoy hard problems and real responsibility. Engineers own meaningful projects end to end, from design to deployment, and collaborate closely with product, design and our go‑to‑market teams. We value low ego, high ownership, clear communication, and respect for each other's time. We always try to "do the loving thing" in how we work together and with our customers and partners.

THE ROLE

This is a focused infrastructure role at the intersection of AI and data security. As we expand MIRA across the entire loan file, our hardest challenges shift from model building to the infrastructure needed to securely develop, test and run AI systems. You'll drive that infrastructure. It's a backend engineering role where you will work in application code as well as in Terraform/AWS with a security‑first mindset.

WHAT YOU'LL DO

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.

WHAT YOU'LL BRING

• 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

BONUS POINTS

• 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)

WHAT WE'LL OFFER YOU

• 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

NOTES

Recruiter and AI submissions will be rejected.

All hires will be subject to thorough criminal, education, work history, and reference checks.

Compensation is DOE.