The role asks for a software engineer who can own the full development cycle for an IT asset management product, from understanding the problem through design, building, testing, deployment, monitoring and production fixes. A strong candidate brings solid Python and Django skills, relational database and data structuring knowledge, REST API design and integration experience, and sound testing discipline. Architectural judgment and the ability to diagnose performance issues and find root causes matter, along with comfort working when specifications are not fully defined.

How it fits the AI era

AI is treated as a multiplier across the software development lifecycle, used to deliver more value with better traceability, fewer regressions and stricter validation cycles. The human side stays central: judging solutions, spotting problems, weighing trade offs and taking ownership of outcomes rather than accepting generated code at face value. The work shifts toward reviewing, validating and directing AI output while keeping deep technical grounding.





How it builds AI experience

The role offers hands on practice embedding AI tools into each stage of development for a SaaS product that manages IT inventory and infrastructure relationships. A candidate can build this by using AI assistants in real coding workflows and showing how they check, test and trace the results. Familiarity with SaaS or ITSM products adds context for applying AI to asset and service management work.

Worth showing

- Python and Django
- Relational databases

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About InvGate

InvGate provides IT Service Management and IT Asset Management software that helps organizations streamline service operations, optimize IT spend, and manage asset lifecycles, per the company.

📌 Software Engineer (Argentina)
🏢 present of AI
📍 Argentina