AI Platform Lead, Cloud Architecture (AWS)

Philip Morris International; Albarraque; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Philip Morris International is hiring a Tech Lead, Cloud Strategy to steer AWS-based AI platform initiatives and cloud infrastructure. You will set technical direction, review code, and mentor engineers while collaborating with product, security, and operations teams to deliver scalable, secure platforms.

Responsibilities include architecting managed runtimes for AI workloads, implementing GitOps with CI/CD pipelines, and driving observability using OpenTelemetry and CloudWatch.

Qualificações

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 7+ years in cloud/platform engineering.
• Hands-on with AWS, AI platform capabilities, and infrastructure as code.
• Experience with security, observability, and CI/CD practices.

Responsabilidades

• Define and drive architecture for cross-functional AWS/cloud initiatives.
• Lead code reviews, establish engineering standards, and mentor team members.
• Collaborate with product and security to deliver scalable, reliable AI platform capabilities.
• Oversee CI/CD pipelines, IaC implementations, and observability across environments.

Conhecimentos

AWS

Python

CI/CD

Infrastructure as Code

GitOps

Kubernetes

OpenTelemetry

Security

AI platform

LangGraph

LangChain

CrewAI

Bedrock

Formação académica

Bachelor’s degree in Computer Science or Engineering

Ferramentas

Crossplane

Terraform

Pulumi

Argo CD

Flux

GitHub Actions

Jenkins

ECR

Bedrock

LangGraph

LangChain

Strands

CrewAI

Step Functions

Snyk

Trivy

OpenTelemetry

CloudWatch

X-Ray

Descrição da oferta de emprego

Philip Morris International is hiring a Tech Lead, Cloud Strategy to steer AWS-based AI platform initiatives and cloud infrastructure. You will set technical direction, review code, and mentor engineers while collaborating with product, security, and operations teams to deliver scalable, secure platforms.

Responsibilities include architecting managed runtimes for AI workloads, implementing GitOps with CI/CD pipelines, and driving observability using OpenTelemetry and CloudWatch.