Lead Plataform Engineer

Overview

We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.

Right now, we are looking for Plataform Engineer Lead to join our Cloud Studio at Globant!

We are seeking an experienced Lead Platform Architect to design and implement an enterprise-grade AI Gateway platform that provides automated governance, security, and optimization for Large Language Model (LLM) consumption across our organization. This role will lead the technical vision and architecture decisions for a critical platform engineering initiative.

Key Responsibilities

Architecture & Design

Design scalable, secure, and performant AI Gateway architecture supporting 10,000+ concurrent requests

Define technical standards and patterns for AI governance, security, and compliance

Create comprehensive technical documentation and architectural decision records (ADRs)

Lead technical evaluation and selection of AI gateway solutions (Kong, Tyk, Portkey, etc.)

Design multi-region, high-availability deployment architectures

Technical Leadership

Lead a team of 3-5 senior platform engineers and provide technical mentorship

Conduct architectural reviews and code reviews for complex platform components

Define and implement platform engineering best practices and standards

Collaborate with security, compliance, and infrastructure teams on cross-functional requirements

Drive technical decision-making and resolve complex architectural challenges

Platform Engineering

Oversee implementation of AI gateway infrastructure using Kubernetes, service mesh, and cloud-native technologies

Design and implement policy management systems with declarative configuration

Architect observability and monitoring solutions for AI workloads

Design cost optimization and intelligent routing algorithms

Lead integration with enterprise systems (SIEM, identity providers, API management)

Governance & Compliance

Define technical approach for data loss prevention and content filtering

Design audit logging and compliance reporting systems

Implement security controls and guardrails for AI interactions

Ensure platform meets regulatory requirements (GDPR, HIPAA, SOX)

Required Qualifications

Technical Expertise

8+ years of platform engineering experience with focus on API management, service mesh, or gateway technologies

Deep expertise in Kubernetes , container orchestration, and cloud-native architectures

Strong experience with AI / ML platforms and LLM integration patterns

Proficiency in Go, Python, or Java for platform development

Experience with API gateway solutions (Kong, Tyk, Istio, Envoy, AWS API Gateway)

Strong understanding of security principles, authentication, and authorization patterns

Architecture & Design

Proven track record of designing and implementing large-scale distributed systems

Experience with microservices architectures and service mesh technologies

Strong understanding of observability patterns (Prometheus, Grafana, distributed tracing)

Experience with policy engines and rule-based systems

Knowledge of infrastructure as code (Terraform, Helm, GitOps)

Leadership & Communication

Demonstrated experience leading technical teams and complex projects

Strong communication skills with ability to present to senior leadership

Experience with Agile / Scrum methodologies and DevOps practices

Proven ability to work with cross-functional teams and stakeholders

Preferred Qualifications

Experience with AI governance platforms (Portkey, ModelOp, Kong AI Gateway)

Knowledge of LLM technologies and generative AI applications

Experience with enterprise compliance frameworks and audit requirements

Cloud certifications (AWS, Azure, GCP)

Experience with WebAssembly (WASM) for extensible gateway architectures

Previous experience in regulated industries (finance, healthcare, government)

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