Software Engineer, Full Stack — Decision Intelligence
AmgenMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist fullstack role, metro location, and broad skillset create high applicant competition.
Core full-stack skills are transferable, but decision-intelligence domain knowledge raises specificity moderately.
Explicit 5+ years plus mandatory full-stack, React/TypeScript, Python, SQL, cloud, and CI/CD skills increases strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain full-stack software for decision intelligence products, focusing on scenario planning including visualization, capacity, and AI-assisted workflows.
Build and improve responsive React/TypeScript frontend experiences and robust backend services/APIs for forecasting, simulation, optimization, and decision-making products.
Collaborate with cross-functional teams to translate business needs into product features and participate in code reviews and engineering best practices.
Minimum Requirements
Bachelor’s degree in computer science, engineering, or related field, or equivalent practical experience.
5+ years of professional software engineering experience building and supporting production applications.
Full-stack development experience including React and TypeScript frontend and Python or similar backend API development.
Experience with relational SQL databases, data integration, cloud deployment, containers, CI/CD, and asynchronous processing patterns.
Ideal Candidate Profile
Experienced full-stack engineer comfortable delivering data-rich, user-focused web applications in complex operational domains.
Practitioner of modern engineering practices including observability, operational ownership, accessibility, and documentation.
Capable of collaborating closely with product managers, data scientists, and engineering peers to deliver AI-assisted decision support tools.
