Lead IT Engineer - Productivity Systems

Nubank•Miami, FL

3d•Hybrid

About The Position

Nu is seeking an experienced engineer to solve "meta-problems" by improving the tools and processes that other teams rely on. This role involves designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining technical governance for next-generation AI workflows. The engineer will lead the implementation and maintenance of automation platforms, design and optimize critical communication infrastructure, drive the technical strategy for AI adoption, develop governance frameworks for AI usage, build "Minimum Control Platforms," define and enforce usage standards for developer tools, and conduct "Discovery Design" for new internal products. Additionally, the role requires acting as a technical reference, influencing architectural decisions, mentoring senior engineers, and partnering with stakeholders like ITSec and Privacy.

Requirements

Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.
Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).
Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.
AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).
Advanced English
Governance-Aware: Understands that "efficiency" must be balanced with "security." Can design systems that are safe by default without destroying developer velocity.
Problem Solver: Comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
Multiplier: Enjoys documenting work, creating "Golden Paths" for other engineers, and teaching others how to use the tools built.

Responsibilities

Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
Drive the technical strategy for AI adoption within engineering workflows.
Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team.
Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.