Senior Manager, Full Stack Engineer

Job Description:

Responsibilities

• Develop complex end-to-end software products being involved in discussions from designing the systems to productionizing and deployment
• Work closely with other Front-end and Backend engineers to integrate workflows end-to-end
• Develop features and fix bugs as defined the product roadmap by working in an agile manner
• Implement best practices for engineering standards, QA/Risk Management, CI/CD, MLOps
• Work closely with cross-functional team of Product Owners, Data Scientists, Product Designers, UI/UX Developers, Scrum Masters and business stakeholders from across Pfizer to build end-to-end production solutions
• Demonstrate a proactive approach to identifying and resolving potential system issues.
• Contribute to the best practices of the team and help colleagues grow.
• Communicate complex technical concepts and insights to both

Qualification & Experience

• Bachelor’s or Master’s degree Computer Science, Engineering, or related field.
• 9+ years of experience in software development and architecture of various solutions
• Strong application development knowledge of any of the following technologies: Python, JavaScript, Oracle, RDBMS, .Net, Java
• Experience with one or more building cloud platforms such as AWS, Azure and GCP
• Experience building Gen AI and Agentic AI application using technologies such as OpenAI, Gemini, Bedrock, LangGraph, LangChain, Vector DB, Embeddings would be an added advantage
• Exposure to Data Engineering concepts and technologies such as PySpark, ETL, Databricks, Azure Data Fabric would be added advantage
• Familiarity with DevOps and DevSecOps practices and technologies such as Docker, Kubernetes etc.
• Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security
• Demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions
• Knowledge of Agile software development process
• Ability to clearly understand the business needs and translate them into best- in-class enterprise solutions
• Master’s degree or PhD in Computer Science, Data Science, or related field.
• Experience in pharmaceutical or healthcare technology environments.
• Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.
• Demonstrated success in deploying AI or ML solutions in production environments.
• Understanding of commercial analytics, medical content and scientific knowledge workflows