Staff Platform Engineer, Ai/Ml Infrastructure

Pfizer; Milano; In loco; EUR 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

Pfizer seeks a technical leader to shape its AI/ML infrastructure, defining patterns across AWS, Kubernetes, and serverless platforms to power enterprise-scale generative AI apps. You will establish reusable infrastructure patterns, lead CI/CD with GitHub Actions, and implement strong security and observability across environments.

This hands-on architect role emphasizes cross-team impact, platform-wide consistency, and mentoring engineers while driving cost optimization and reliability.

Competenze

• 7+ years in DevOps, platform engineering, SRE, or related roles.

Mansioni

• Define and drive the technical strategy for AI/ML platform infrastructure across multi-environment deployments.
• Architect, build, and operate scalable cloud platforms using AWS services (EKS, ECS Fargate, Lambda, etc.).
• Lead CI/CD architecture with GitHub Actions and automated quality gates.
• Design and improve observability across AI platforms (CloudWatch, Prometheus, Grafana, OpenSearch).
• Partner with software engineering teams to improve deployment reliability and performance.
• Define and enforce security/compliance practices for infrastructure (IAM, Secrets Manager, audit logging).
• Mentor engineers and influence platform engineering practices across teams.

Conoscenze

DevOps leadership

Platform engineering

AWS/Azure/GCP

Kubernetes

CI/CD

Observability

Security/compliance

Mentoring

Communication

Team collaboration

Strumenti

CloudFormation

Terraform

Helm

GitHub Actions

Prometheus

Grafana

OpenSearch

CloudWatch

Descrizione del lavoro

In this role you will provide technical leadership for Pfizer’s AI/ML infrastructure, shaping cloud platforms and deployment foundations to power enterprise-scale generative AI apps. You will define patterns and standards across AWS/Kubernetes/serverless environments, focusing on reliability, scalability, observability, CI/CD, security, and developer enablement. You will collaborate with software, AI engineering, security, and operations teams to raise platform maturity. This is a hands-on, architecturally influential position with a strong emphasis on cross-team impact and platform-wide consistency.

• Define and drive the technical strategy for AI/ML platform infrastructure supporting generative AI applications, LLM integrations, model routing, and enterprise AI services
• Architect, build, and operate scalable cloud platforms using AWS services such as EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, and MWAA
• Establish reusable infrastructure patterns using CloudFormation, Helm, and Terraform for multi-environment/multi-region deployments
• Lead CI/CD architecture with GitHub Actions, reusable workflows, OIDC-based AWS authentication, automated quality gates, deployment promotion, and environment approvals
• Design and improve observability across AI platforms (CloudWatch, logs, Prometheus/Grafana, OpenSearch, Langfuse, and LLm metrics); build GenAI workload monitoring
• Partner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance
• Define and enforce security/compliance practices for infrastructure (IAM boundaries, Secrets Manager, secret scanning, audit logging, tagging, change-management)
• Provide technical leadership for cost optimization, capacity planning, environment standardization, and resilience across environments
• Mentor engineers, review architecture and infrastructure designs, influence platform engineering practices across teams
• 7+ years in DevOps, platform engineering, cloud infrastructure, SRE, or related roles
• Strong hands-on experience with AWS/Azure/GCP infrastructure and services (container, serverless, networking, storage, observability, security)
• Production experience on Kubernetes, ECS/Fargate, or equivalent container orchestration
• Proficiency with infrastructure-as-code (CloudFormation, Terraform, Helm)
• Strong CI/CD experience with GitHub Actions (workflows, testing, automation)
• Experience building/operating observability solutions (CloudWatch, Prometheus, Grafana, OpenSearch)
• Solid cloud security knowledge (IAM, secrets management, least privilege, audit logging, compliance)
• Experience supporting distributed systems, microservices, APIs, and multi-environment deployments
• Proven ability to lead technical design, mentor engineers, and influence practices across teams
• Leadership and mentoring
• Strong communication to diverse audiences
• AWS services: EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, MWAA
• CI/CD with GitHub Actions; OIDC-based authentication