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.
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.
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