Job Description Use Your Power for Purpose At Pfizer, the impact of technology resonates through every facet of our operations, driving a transformative digital and 'data first' approach. Across all functions—from groundbreaking research to efficient manufacturing—we embrace innovative solutions that empower us to enhance every aspect of drug discovery and development. Your efforts in building robust, reusable AI Solutions and empowering development teams streamline processes, making our work not only faster but easier. In doing so, you contribute significantly to a mission that transcends mere efficiency; you become a vital part of saving countless lives. As a Staff DevOps Engineer, you will be reporting to the Head of Applied AI Engineering at the AI Center of Excellence division. You will be a key enabler of Pfizer’s digital transformation by building and operating the platforms, pipelines, and automation that accelerate AI Solution Engineering and ensure reliability at scale. Role Responsibilities Design and implement CI/CD pipelines for cloud-native applications, ensuring secure, automated, and repeatable deployments across environments. Manage infrastructure as code (IaC) using tools like Terraform to provision and maintain scalable, resilient environments. Automate operational workflows for build, test, release, and monitoring, reducing manual effort and improving delivery speed. Champion observability and reliability by implementing logging, metrics, and tracing solutions (e.g., Prometheus, Grafana, ELK, OpenTelemetry). Optimize cloud resources and costs while ensuring compliance with Pfizer’s security and governance standards. Collaborate with development teams to embed DevOps best practices, improve developer experience, and accelerate delivery cycles. Drive containerization and orchestration strategies using Docker and Kubernetes for consistent, portable deployments. Implement security controls and compliance checks in pipelines (DevSecOps), including vulnerability scanning and policy enforcement. Mentor engineers and advocate for a DevOps culture, fostering automation, continuous improvement, and shared ownership of reliability. BASIC QUALIFICATIONS 6+ years in Software Engineering roles. Advanced degree in Computer Science or Engineering. Hands-on experience with CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or Jenkins for automated build, test, and deployment. Proficiency in Infrastructure as Code (IaC) with Terraform, Bicep, or similar for cloud resource provisioning and environment consistency. Strong knowledge of containerization and orchestration (Docker, Kubernetes) including deployment strategies and scaling. Experience with monitoring and observability tools (Prometheus, Grafana, ELK, OpenTelemetry) for system health and reliability. Scripting and automation skills in Python, Bash, or PowerShell to streamline workflows and reduce manual effort. PREFERRED QUALIFICATIONS Expertise in GitOps workflows for declarative deployments and environment drift management. Familiarity with DevSecOps practices including security scanning (SAST/SCA/DAST) and policy enforcement in pipelines. Advanced Kubernetes operations such as multi-tenancy, autoscaling policies, and cluster optimization. Experience in regulated environments (GxP, HIPAA, GDPR) with compliance automation and audit readiness.