Senior Associate Software Engineer

Senior Associate Software Engineer

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

We are seeking an experienced Senior Associate Software Engineer to design, develop, deploy, and support scalable enterprise software applications. This role will contribute to full-stack development, cloud engineering, DevOps, application security, system reliability, and AI-enabled solutions.

The ideal candidate has strong hands-on experience with React, Vite, FastAPI, Python, TypeScript or JavaScript, RESTful APIs, AWS, containerization, CI/CD, automated testing, and production support.

The candidate will collaborate with product managers, UX/UI designers, engineers, data teams, QA, cybersecurity, and DevOps teams to deliver secure, reliable, and maintainable solutions.

Roles and Responsibilities

• Develop, test, deploy, and maintain scalable software applications.
• Build front-end applications using React, Vite, TypeScript, and modern UI-development practices.
• Develop back-end applications, RESTful APIs, integration services, and data-access components using Python and FastAPI.
• Build responsive, accessible user interfaces and reusable UI components aligned with enterprise UX standards.
• Translate business requirements into secure, maintainable, production-ready solutions.
• Contribute to software-design discussions and technical decisions.
• Develop cloud-native applications using APIs, microservices, serverless services, containers, and event-driven patterns.
• Integrate applications with enterprise platforms, identity services, databases, cloud services, and third-party systems.
• Develop AI-enabled applications using Generative AI, LLMs, RAG, and related technologies where appropriate.
• Collaborate with data scientists and ML engineers to integrate predictive models and AI capabilities.
• Support model-serving APIs and MLOps processes for deployment and monitoring.
• Develop unit, integration, end-to-end, regression, and automated acceptance tests.
• Participate in peer code reviews and follow coding, security, and quality standards.
• Apply secure software-development practices throughout the development lifecycle.
• Use tools such as Veracode, Snyk, SonarQube, or equivalent platforms and remediate identified findings.
• Contribute to CI/CD pipelines and automate build