ROLE SUMMARY The Digital Technology and AI organization's mission is to innovate, build, standardize, and scale breakthrough AI/GenAI solutions, products, and platforms that enable Pfizer to connect digitally with all our customers.  We are seeking a Senior Manager, DevOps Engineer who will be responsible for supporting a portfolio of AI/ML platforms and services. You will play a critical role in defining and implementing DevOps best practices, building robust CI/CD pipelines, and ensuring the security, reliability, and scalability of our AI infrastructure. Your expertise will help us accelerate the delivery of AI-powered solutions while maintaining the highest standards of operational excellence.  ROLE RESPONSIBILITIES   Infrastructure & Cloud Operations: Design, deploy, and manage AWS cloud infrastructure for AI/ML applications using Infrastructure as Code  Architect and maintain highly available, fault-tolerant systems using AWS services (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, ECR, etc.)  Implement auto-scaling strategies and optimize resource utilization for cost efficiency  Lead lifecycle management activities including upgrades, patches, capacity planning, and infrastructure retirement  Manage multi-environment deployments (dev, prod) with appropriate isolation and controls  CI/CD & Automation:  Build and maintain sophisticated CI/CD pipelines using GitHub Actions for containerized microservices  Automate deployment processes for 50+ microservices across multiple environments  Implement GitOps practices and promote infrastructure/configuration as code  Develop automation scripts for operational tasks and deployment workflows  Manage Docker container builds and ECR repository lifecycle    Security & Compliance:  Integrate security practices throughout the CI/CD pipeline (shift-left security)  Implement automated security scanning  Manage secrets and credentials using AWS Secrets Manager and secure CI/CD practices  Ensure compliance with enterprise security policies, tagging standards, and industry regulations  Monitor and respond to security incidents and vulnerabilities in a timely manner  Conduct security reviews of infrastructure and application architectures  Monitoring & Reliability:  Implement comprehensive monitoring, logging, and alerting using Grafana, Dynatrace, and CloudWatch  Establish SLIs, SLOs for critical services  Participate in incident response, troubleshooting, and post-mortem analysis to identify root causes  Drive continuous improvement through metrics-driven insights and capacity planning  Optimize system performance through profiling, benchmarking, and tuning  Collaboration & Leadership:  Work closely with AI/ML development teams to understand requirements and optimize deployment strategies  Provide technical guidance and mentorship on DevOps/MLOps best practices  Document infrastructure, runbooks, standard operating procedures, and architectural decisions  Contribute to technical design reviews and architectural decision-making  Foster a culture of automation, reliability, and continuous improvement  BASIC QUALIFICATIONS ​  BSc degree in Computer Science or Engineering is required. MSc is preferred.  7+ years of hands-on experience deploying and managing enterprise software solutions in AWS or other cloud environments  Proven experience building and maintaining production-grade CI/CD pipelines (GitHub Actions, Jenkins, or similar)  Extensive AWS expertise with services including:  Compute: ECS Fargate, Lambda, EC2, EKS  Storage: S3, DynamoDB  Container: ECR  Security: IAM, Secrets Manager, KMS  Deep expertise with Infrastructure as Code using CloudFormation and/or Terraform  Production experience with Docker containerization and orchestration  Strong proficiency with Git version control and branching strategies  Scripting & Programming: Python (required), Bash, strong understanding of software development lifecycle  Monitoring & Observability: Hands-on experience with Grafana, Dynatrace, CloudWatch, or similar tools  Security Tools: Experience with SonarQube, Snyk, or similar security scanning tools  Configuration Management: Experience with automated configuration management approaches  Performance Optimization: Proven ability in performance testing, profiling, and optimization  Demonstrated ability to own complex systems end-to-end and manage production deployments  Strong analytical and troubleshooting skills with systematic problem-solving approach    GENERAL SKILLS REQUIREMENTS   Excellent communication skills - able to explain technical concepts to diverse audiences  Experience contributing to technical specifications and design documentation  Collaborative mindset with ability to work effectively across distributed teams  Self-motivated with strong bias for action and results  Commitment to quality, security, and operational excellence