The role asks for a software engineer who owns 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 and integration experience, and sound testing and architecture judgment. The person should work with autonomy, question assumptions and make decisions that weigh technical, product and business impact.

How it fits the AI era

AI is treated as a multiplier across the software development cycle, used to deliver more value with better traceability, fewer regressions and stricter validation. The human side stays central: judging solutions, spotting problems, setting architecture 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 building software, with emphasis on traceability and rigorous validation. To prepare, a candidate could build small features with AI assistance and show how testing and review caught issues. Experience with SaaS or ITSM products would deepen understanding of the asset management domain the company serves.

Worth showing

- Python and Django
- Relational data modeling
- End to end ownership

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.

📌 Product Builder (Argentina)
🏢 present of AI
📍 Argentina