Staff AI/ML Platform Engineer — Cloud Infra Leader

Pfizer; Paris; À distance; EUR 120 000 - 160 000; Plein temps

Résumé du poste

Pfizer seeks a Staff Platform Engineer in AI/ML Infrastructure to provide technical leadership for cloud platforms powering enterprise-scale generative AI applications. You will define infrastructure architecture across AWS, Kubernetes, serverless, and containerized environments, driving reliability, security, and developer enablement.

The ideal candidate combines hands-on cloud engineering with staff-level influence, mentoring engineers and shaping platform standards across multiple teams.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
• 7+ years of experience in DevOps, platform engineering, cloud infrastructure, site reliability engineering, or software engineering roles.
• Strong hands-on experience with AWS/Azure/GCP infrastructure and services, including container, serverless, networking, storage, observability, and security services.
• Experience designing and operating production systems on Kubernetes, ECS/Fargate, or comparable container orchestration platforms.
• Proficiency with infrastructure-as-code, especially CloudFormation, Terraform, Helm, or similar tooling.

Responsabilités

• 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 to support reliable multi-environment and multi-region deployments.
• Lead CI/CD architecture using GitHub Actions, reusable workflows, OIDC-based AWS authentication, automated quality gates, deployment promotion, and environment approvals.
• Design and improve observability across AI platforms, including CloudWatch dashboards, logs, alarms, Prometheus/Grafana, OpenSearch, Langfuse, and LLM-specific operational metrics.
• Build platform capabilities for GenAI workloads, including model availability monitoring.
• Partner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance.
• Define and enforce security and compliance practices for infrastructure, including IAM permission boundaries, Secrets Manager usage, secret scanning, audit logging, tagging standards, and change-management controls.
• Provide technical leadership for cost optimization, capacity planning, environment standardization, and operational resilience across development, test, production, and sandbox environments.
• Mentor engineers, review architecture and infrastructure designs, and influence platform engineering practices across teams.

Connaissances

Cloud architecture

Staff‑level leadership

CI/CD pipelines

Kubernetes

AWS services

Observability

Formation

Bachelor’s degree in Computer Science or related field

Outils

CloudFormation

Terraform

Helm

GitHub Actions

OpenSearch

Prometheus/Grafana

Description du poste

Pfizer seeks a Staff Platform Engineer in AI/ML Infrastructure to provide technical leadership for cloud platforms powering enterprise-scale generative AI applications. You will define infrastructure architecture across AWS, Kubernetes, serverless, and containerized environments, driving reliability, security, and developer enablement.

The ideal candidate combines hands-on cloud engineering with staff-level influence, mentoring engineers and shaping platform standards across multiple teams.