Senior Manager, Cloud Infrastructure Engineer

Use Your Power for Purpose

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI. Join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.

As a Senior Manager, Cloud Infrastructure Engineer, your responsibilities will include architecting and implementing AI solutions at scale for Pfizer. You will iteratively develop and continuously improve data science workflows, AI based software solutions, and AI components.

What You Will Achieve

Cloud Infrastructure, Platform Engineering & DevOps

• Lead the design, build, and operation of cloud-native infrastructure across AWS and/or Azure, supporting application, data, and ML workloads.

• Own infrastructure-as-code (Terraform, Ansible, Helm) and Git-based workflows to ensure repeatable, auditable, and scalable environments.

• Operate and evolve standardized CI/CD pipelines (e.g., GitHub Actions) for services, data pipelines, and ML deployments, aligned to enterprise platform standards.

• Implement and maintain platform capabilities including:

  • Kubernetes/Docker runtime environments

  • Identity, access management, and policy enforcement

  • Secrets management and configuration governance

• Partner with the Platform lead to implement architecture patterns and paved paths, driving adoption through reusable modules and templates.

Reliability, Observability & Operational Excellence

• Lead the design, build, and operation of cloud-native infrastructure across AWS and/or Azure, supporting application, data, and ML workloads.

• Own infrastructure-as-code (Terraform, Ansible, Helm) and Git-based workflows to ensure repeatable, auditable, and scalable environments.

• Operate and evolve standardized CI/CD pipelines (e.g., GitHub Actions) for services, data pipelines, and ML deployments, aligned to enterprise platform standards.

• Implement and maintain platform capabilities including:

• Kubernetes/Docker runtime environments

• Identity, access management, and policy enforcement

• Secrets management and configuration governance

• Partner with the Director-level platform lead to implement architecture patterns and paved paths, driving adoption through reusable modules and templates.

Testing Enablement (Infrastructure & Non-Functional Focus)

• Ensure testing is built into infrastructure and delivery pipelines, including:

  • Automated infrastructure validation (IaC testing, policy-as-code)

  • CI/CD pipeline tests and deployment verification

  • Environment readiness and smoke testing

• Partner with application and QA teams to support non-functional testing needs:

  • Performance and load testing environments

  • Reliability and failover testing

  • Security and vulnerability scanning integration

• Promote “shift-left” practices by embedding test execution, quality gates, and release checks into CI/CD workflows.

• Track and report infrastructure-related quality signals, such as deployment failures, environment defects, and rollback frequency.

Data & AI Infrastructure Enablement

• Support analytics and ML teams by providing secure, scalable, and reliable infrastructure for data pipelines and model execution.

• Operate core MLOps infrastructure components, such as:

  • Model deployment pipelines

  • Runtime environments

  • Monitoring and rollback mechanisms

• Partner with data and AI leaders to implement platform standards for security, access, and operational readiness, without owning data science outcomes.

People Leadership & Delivery Management

• Support analytics and ML teams by providing secure, scalable, and reliable infrastructure for data pipelines and model execution.

• Set clear execution priorities aligned to platform roadmaps and business outcomes.

• Coach engineers on:

  • Infrastructure best practices

  • Reliability and security mindset

  • Automation and operational ownership

• Establish strong delivery discipline through sprint planning, technical reviews, documentation, and operational runbooks.

Here Is What You Need (Minimum Requirements)

• BA/BS with 6+ years of relative experience.

• Proven expertise in collaborating with sponsors and business leadership teams to develop and deliver technology roadmaps, strategies, and operating plans.

• Demonstrated understanding of key Agile techniques and a deep comprehension of systems and information architecture.

• Broad knowledge of corporate enterprise systems.

• Innovative mindset with strong delivery-oriented values.

• Excellent leadership skills.

• Exceptional interpersonal and communication abilities.

Bonus Points If You Have (Preferred Requirements)

• A Master's degree with relevant pharmaceutical industry experience.

• Experience working on global programs.

• A good understanding of business customers' expectations and preferences, and how digital fits in.

• Experience with SharePoint, Microsoft  NET, and Microsoft and Oracle application platforms.

• Ability to anticipate and troubleshoot roadblocks, influencing teams to meet division targets.

• Strong analytical and problem-solving skills.

• Ability to manage multiple priorities in a fast-paced environment.

• Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.

Please apply by sending your CV in English.

Work Location Assignment: Hybrid