Staff Platform Engineer, AI/ML Infrastructure

The Staff Platform Engineer, AI/ML Infrastructure provides technical leadership for cloud platforms, deployment systems, and operational foundations supporting enterprise-scale generative AI applications. The role involves defining and evolving infrastructure architecture across AWS, Kubernetes, serverless, and containerized environments, leading platform standards, and partnering with various engineering and security teams.

Location: Remote

Salary: €65.250,00 to €108.750,00 per year

Responsibilities

• 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.

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.

Benefits

• Benefits vary by location and can include health care coverage, retirement savings plans, insurance benefits, an Employee Assistance Program, wellness benefits and more. Additional details about total compensation and benefits will be provided during the hiring process.

Additional Information

• This role is posted in multiple locations. If applying in a location with pay transparency regulations, pay info will be shared during the first interview.
• Pfizer is an equal opportunity employer and values diversity and inclusion.
• The company is committed to accessibility and offers accommodations for applicants with disabilities.