Back End Engineer

Santex is a global Certified B technology company as well as one of North America's fastest-growing companies, according to the Inc. 5000. It’s present in 18 countries and over 100 cities, and headquartered in Argentina with offices in the United States, Mexico, and Peru.

Its two service lines — AI Tech Consulting and AI-Optimized Engineering — help organizations comprehensively adopt technology, expand their capabilities, and improve business outcomes at scale.

The same approach defines its culture: Santex has 80.4% employee engagement (global average: 21%), 8% annual turnover (tech sector: 20–25%), 9,369 training hours invested in 2025 — more than double the global average —, and a 26.5% year-over-year reduction in carbon footprint, achieving carbon neutrality through offsetting.

Santex. A company with purpose and judgment. Yes, it's possible.

We are an Equal Opportunity Employer and are committed to fostering an inclusive and diverse workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All qualified applicants will receive consideration for employment without regard to any of these factors. We strongly encourage candidates from all backgrounds to apply.

We’re hiring a Principal Kotlin/Spring Boot contractor to help own the execution backbone of a no-code workflow platform. This is not a simple CRUD service. The Orchestrator runtime is a multi-module system that receives workflow execution requests, persists durable state with Temporal, coordinates graph execution, integrates HTTP, agent, LLM, and human-review nodes, and safely executes increasingly AI-generated workflow graphs. You’ll join the squad responsible for the runtime layer that everything else depends on.

Responsibilities:
• Design and harden the Kotlin/Spring Boot runtime that executes workflow graphs reliably in production.
• Implement and improve Temporal.io workflows, activities, signals, queries, retries, and recovery paths.
• Strengthen contract-first APIs and shared contracts.
• Own failure-mode thinking across distributed execution retries, idempotency, partial failure, replay safety, pause/resume, and graceful degradation.
• Work across node types, including HTTP, agentic tool-calling, LLM, and human-in-the-loop review nodes.
• Improve integration coverage using Test containers and layered Docker Compose profiles.
• Collaborate closely with Composer and AI/KB teams on execution semantics and runtime behavior.
• Write clear operational documentation and runbooks for a reliability-critical service.