Staff Platform Engineer, AI/ML Infrastructure

🕒 June 17

🌐 France, Italy, +2 more countries – Remote

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⏰ Full Time

🔮 Lead

đŸ—ïž Platform Engineer

đŸ‘» Ghost score 55%

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Logo of Pfizer

Pfizer

10,000+ employees

Founded 1849

đŸ’Œ Consulting

📣 Marketing

💊 Pharmaceuticals

💰 Post-IPO Debt on 2023-05

Consulting ‱ Marketing ‱ Pharmaceuticals

Pfizer is a pharmaceutical company that has been at the forefront of scientific innovation for 175 years. The company is dedicated to improving health and well-being at every stage of life by providing access to safe, effective, and affordable medicines and healthcare services. Pfizer focuses on delivering innovative therapies, particularly in the field of cancer treatments, as it continues to progress in transforming the healthcare landscape.

📋 Description

‱ 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 including 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 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 dashboards, logs, alarms, Prometheus/Grafana, OpenSearch, Langfuse, and LLM-specific operational metrics ‱ Build platform capabilities for GenAI workloads, including model availability monitoring ‱ Improve deployment reliability, rollback strategies, health checks, autoscaling, load testing, and runtime performance with software engineering teams ‱ Define and enforce infrastructure security and compliance practices ‱ Provide technical leadership for cost optimization, capacity planning, environment standardization, and operational resilience ‱ Mentor engineers, review architecture and infrastructure designs, and influence platform engineering practices across teams

🎯 Requirements

‱ 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 ‱ Strong CI/CD experience with GitHub Actions or similar platforms, including reusable workflows, automated testing, deployment gates, and cloud authentication ‱ Experience building and operating observability solutions using CloudWatch, Prometheus/Grafana, OpenSearch, or similar tools ‱ Strong understanding of cloud security practices, IAM, secrets management, least-privilege access, audit logging, and compliance requirements ‱ Experience supporting distributed systems, microservices, APIs, asynchronous workloads, and multi-environment deployments ‱ Demonstrated ability to lead technical design, mentor engineers, and influence engineering practices across teams

đŸ–ïž Benefits

‱ Equal employment opportunity employer ‱ Reasonable adjustments to support candidates and future careers ‱ Accessibility assistance for the website, online application process, and interviewing

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