Job Description 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 seek a DevOps Engineer who will support a portfolio of AI platforms and services. You will work alongside senior engineers to implement DevOps best practices, maintain CI/CD pipelines, and help ensure the security, reliability, and scalability of our AI infrastructure. This is an excellent opportunity to grow your career in DevOps while working with cutting-edge AI technologies. ROLE RESPONSIBILITIES The DevOps engineer colleague’s responsibilities include but are not limited to: Infrastructure & Cloud Operations: Support AWS cloud infrastructure using Infrastructure as Code (CloudFormation) Work with AWS services including ECS Fargate, Lambda, Step Functions, S3, DynamoDB, and ECR Assist in managing multi-environment deployments (dev, test, prod, sandbox) Help maintain and monitor cloud resources for performance and cost optimization Participate in infrastructure lifecycle activities including patches and upgrades CI/CD & Automation: Maintain and enhance CI/CD pipelines using GitHub Actions Support deployment processes for microservices across multiple environments Develop automation scripts (Python/Bash) for operational tasks Manage Docker container builds and deployments Contribute to GitOps practices and infrastructure as code initiatives Security & Compliance: Implement security scanning in CI/CD pipelines (SonarQube, Snyk) Help manage secrets and credentials using AWS Secrets Manager Support compliance with enterprise security policies and tagging standards Respond to security vulnerabilities and incidents under guidance Participate in security reviews of infrastructure Monitoring & Operations: Set up and maintain monitoring and alerting using Grafana, Dynatrace, and CloudWatch Participate in incident response and troubleshooting Document operational procedures and runbooks Support on-call rotation for production systems Help drive continuous improvement initiatives Collaboration: Work with development teams to understand deployment requirements Document infrastructure changes and technical procedures Participate in technical design discussions Share knowledge and learn from senior team members BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field required 5 years of experience working with cloud platforms, preferably AWS Experience with CI/CD pipelines and deployment automation Hands-on experience with Docker and containerization Familiarity with AWS services such as: Compute: ECS, Lambda, or EC2 Storage: S3, DynamoDB Container: ECR Security: IAM, Secrets Manager Experience with Infrastructure as Code (CloudFormation or Terraform) Working knowledge of Git version control Scripting & Programming: Python or Bash scripting experience CI/CD Tools: GitHub Actions, Jenkins, or similar Monitoring Tools: Experience with CloudWatch, Grafana, Dynatrace, or similar Security: Familiarity with security scanning tools Operating Systems: Linux/Unix administration skills Strong problem-solving and troubleshooting abilities Good communication and collaboration skills Eagerness to learn new technologies and best practices Ability to work both independently and as part of a team Attention to detail and commitment to quality Self-motivated with good time management