Full Stack Software Engineer

In this vital role you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, and management of regulatory content.

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code
• Contribute to both front-end and back-end development using cloud technology
• Develop innovative solution using generative AI technologies
• Ensure code quality and adherence to best practices
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Identify and resolve technical challenges effectively
• Stay updated with the latest trends and advancements
• Work closely with product team, business team, and other stakeholders
• Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
• Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
• Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
• Identify and resolve software bugs and performance issues
• Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
• Customize modules to meet specific business requirements
• Work on integrating with other systems and platforms to ensure seamless data flow and functionality
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently

Basic Qualifications:

• Master's degree / Bachelor's degree and 5 to 9 years of experience in Computer Science, IT or related field

Preferred Qualifications:

Must-Have Skills:

• Proficiency in Python/PySpark development, Fast API, PostgreSQL, Databricks, DevOps Tools, CI/CD, Data Ingestion.
• Candidates should be able to write clean, efficient, and maintainable code.
• Knowledge of HTML, CSS, and JavaScript, along with popular front-end frameworks like React or Angular, is required to build interactive and responsive web applications
• In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Strong understanding of cloud computing principles, particularly within the AWS ecosystem
• Strong understanding of software development methodologies, including Agile and Scrum
• Experience with version control systems like Git
• Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles
• Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
• Experienced with API integration, serverless, microservices architecture.
• Experience in SQL/NoSQL database, vector database for large language models

• Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience with data processing tools like Hadoop, Spark, or similar
• Experience with integration technologies

• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills