Sr Associate Software Engineer - Clinical Computation Platform

In this vital role you will be part of the Clinical Computation Platform Product Team, responsible for developing, enhancing and maintaining scalable software solutions that support clinical data analysis. This role requires strong understanding of DevOps capabilities and hands-on experience with modern cloud-native technologies.

• Lead complex software projects from conception through deployment, managing scope, risk, and timelines.
• Rapidly prototype and translate concepts into functional code.
• Design, develop, and implement applications, modules, custom reports, interfaces, and enhancements.
• Analyse functional and technical requirements and translate them into scalable software architecture and design specifications.
• Develop and execute unit, integration, and other testing strategies to ensure software quality.
• Identify and resolve software bugs, performance issues, and technical challenges.
• Operate and maintain Amgens Open-Source POSIT/Python Compute Platforms, containers, and hosted applications.
• Manage CI/CD pipelines, configuration-as-code, secrets management, and environment provisioning/monitoring.
• Integrate applications with other systems to ensure seamless data flow and functionality.
• Customize modules to meet specific business needs.
• Maintain comprehensive documentation on software architecture, design, deployment, disaster recovery, and operations.
• Provide ongoing support and maintenance to ensure smooth and efficient application performance.
• Stay current with advancements in cloud technologies and POSIT tools.
• Collaborate closely with product, business, and cross-functional teams to deliver high-quality software solutions.

Basic Qualifications:

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

Preferred Qualifications:

Must-Have Skills:

• Strong knowledge of information systems and network technologies
• Proficiency in programming languages such as R and Python
• Strong understanding of software development methodologies, including Agile and Scrum
• Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills

• Strong understanding of cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
• Working experience with DevOps/MLOps practice and CI/CD pipelines
• Experience with monitoring and logging tools
• Experience with automated testing tools and frameworks

• Excellent analytical and troubleshooting skills
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• Team-oriented, with a focus on achieving team goals