Staff Platform Engineer, Ai/Ml Infrastructure
Pubblicato il 27-09-2026 - Pfizer in Milano
pIn 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. /pulliDefine and drive the technical strategy for AI/ML platform infrastructure supporting generative AI applications, LLM integrations, model routing, and enterprise AI services /liliArchitect, build, and operate scalable cloud platforms using AWS services such as EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, and MWAA /liliEstablish reusable infrastructure patterns using CloudFormation, Helm, and Terraform for multi-environment/multi-region deployments /liliLead CI/CD architecture with GitHub Actions, reusable workflows, OIDC-based AWS authentication, automated quality gates, deployment promotion, and environment approvals /liliDesign and improve observability across AI platforms (CloudWatch, logs, Prometheus/Grafana, OpenSearch, Langfuse, and LLm metrics); build GenAI workload monitoring /liliPartner with software engineering teams to improve deployment reliability, rollback strategies, health checks, autoscaling, load testing,
and runtime performance /liliDefine and enforce security/compliance practices for infrastructure (IAM boundaries, Secrets Manager, secret scanning, audit logging, tagging, change-management) /liliProvide technical leadership for cost optimization, capacity planning, environment standardization, and resilience across environments /liliMentor engineers, review architecture and infrastructure designs, influence platform engineering practices across teams /lili7+ years in DevOps, platform engineering, cloud infrastructure, SRE, or related roles /liliStrong hands-on experience with AWS/Azure/GCP infrastructure and services (container, serverless, networking, storage, observability, security) /liliProduction experience on Kubernetes, ECS/Fargate, or equivalent container orchestration /liliProficiency with infrastructure-as-code (CloudFormation, Terraform, Helm) /liliStrong CI/CD experience with GitHub Actions (workflows, testing, automation) /liliExperience building/operating observability solutions (CloudWatch, Prometheus, Grafana, OpenSearch) /liliSolid cloud security knowledge (IAM, secrets management, least privilege, audit logging, compliance) /liliExperience supporting distributed systems, microservices, APIs, and multi-environment deployments /liliProven ability to lead technical design, mentor engineers, and influence practices across teams /liliLeadership and mentoring /liliStrong communication to diverse audiences /liliAWS services: EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, MWAA /liliCI/CD with GitHub Actions; OIDC-based authentication /li /ul #J-18808-Ljbffr