Hybrid Staff Engineer, AI Infrastructure, MLOps

Posted last month

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About the role

  • Senior engineer responsible for architecting and scaling Pfizer’s AI infrastructure. Collaborating on cloud engineering, DevOps, and MLOps for biotech and healthcare solutions.

Responsibilities

  • Design, implement, and own large-scale cloud-based HPC and MLOps platforms supporting AI model training, genomic sequencing, and precision medicine.
  • Architect multi-environment clusters (AWS, GCP, Azure), enabling GPU/FPGA workloads and advanced observability.
  • Lead the development of developer and cloud platforms, including internal engineering accelerators and reusable toolsets.
  • Develop custom plugins and APIs for Backstage to support internal engineering workflows and documentation.
  • Build and maintain Python-based automation frameworks, CI/CD pipelines, and Infrastructure-as-Code (Terraform, Helm, Pulumi, AWS CDK).
  • Lead the implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and advanced observability (Prometheus, Grafana, PagerDuty).

Requirements

  • 7+ years of hands-on software engineering experience in cloud infrastructure, DevOps, and MLOps.
  • Deep expertise in Python, Kubernetes, Terraform, Helm, and CI/CD pipeline development.
  • Proven experience architecting and operating containerized solutions on AWS, GCP, and Azure.
  • Strong knowledge of Infrastructure-as-Code, distributed systems, and production system reliability.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

Job title

Staff Engineer, AI Infrastructure, MLOps

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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