Role: Technical Lead – Applied AI Scrum Team Location: Mexico City (Hybrid – 3 days in office)

Employment Type: Full-Time

Reports to: Applied AI Engineering Leadership Experience

10+ years in software engineering, incl. 2+ years in a technical leadership role Role Summary The Technical Lead owns the tactical technical decisions for the team and is the hands-on anchor for architecture, code quality and delivery. This person sets the technical direction, unblocks the team, and ensures the product is built to scale across markets on a cloud-agnostic platform. Key Responsibilities

Make day-to-day tactical technical decisions and drive architecture for the Virtual C-Suite product.

Lead design and hands-on development of scalable microservices in Java / Spring Boot and AI capabilities in Python.

Own engineering quality – design reviews, code reviews, coding standards, and technical debt management.

Guide integration of Azure AI Foundry / LLM models (Claude, GPT-4.1, Mistral) into product workflows.

Ensure robust CI/CD, observability and Kubernetes-based deployment across Azure (and emerging AWS) environments.

Mentor senior SDEs and QE, and collaborate with the TPM on roadmap, estimates and exit criteria.





Champion autonomy – enable the team to independently plan and deliver roadmap priorities. Must-Have Skills

Strong hands-on Java / Spring Boot; solid Python for AI/LLM integration.

Microservices, REST APIs, event-driven design; NoSQL / document databases.

Cloud-native engineering on Azure (AWS a strong plus); Kubernetes and CI/CD pipelines.

Proven experience taking products from concept to production at scale.

Excellent technical judgement, communication and mentoring ability. Nice to Have

Experience building agentic / GenAI applications and RAG pipelines.

Databricks and data-platform experience; fintech / payments domain exposure.

Comfortable operating in a fully autonomous team that owns delivery end-to-end.

Strong fundamentals in the relevant discipline and a good culture fit – collaborative, ownership-driven and outcome-focused.

Able to work in a cloud-agnostic environment (Azure today, expanding to AWS).

Hybrid working – 3 days per week from the Mexico City office, with emphasis on in-person collaboration during the early build phase.

Clear communication and the ability to move fast without compromising engineering quality.

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