Remote Senior Software Engineer - Biotech Impact

Amgen Inc. (IR)

Northern (KY)

Hybrid

USD 103,000 - 139,000

Full time

14 days+

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Job summary

Amgen Inc. is seeking a Sr Associate Software Engineer to design, develop, and support scalable software and data solutions that meet R&D Commercialization needs. You will work with product managers, analysts, and engineers to translate requirements into secure, reliable systems.

The role involves API development, data pipelines, and automations, with containerization using Docker/Kubernetes on AWS. You will contribute to DevOps practices, testing, monitoring, and production support in a

Qualifications

  • Master’s degree or higher in Information Systems with experience.
  • Proficient in Python and SQL with production software delivery experience.
  • Experience with cloud platforms, data, automation, or enterprise apps.
  • Strong understanding of software architecture and maintainable design.
  • Familiarity with CI/CD, DevOps, and security practices.

Responsibilities

  • Design, develop, configure, test, deploy, and support scalable enterprise software applications and APIs.
  • Own technical implementation of user stories in collaboration with cross-functional teams.
  • Develop data pipelines, transformations, and data quality controls.
  • Build and deploy containerized solutions using Docker and Kubernetes; manage AWS services.
  • Participate in Agile ceremonies and contribute to code reviews and architectural decisions.

Skills

Python
SQL
Software design
DevOps
Agile

Education

Master's degree in Information Systems
Bachelor's degree in Information Systems
Associate’s degree

Tools

Databricks
AWS
Docker
Kubernetes
Git
GitLab

Job description

Amgen Inc. is seeking a Sr Associate Software Engineer to design, develop, and support scalable software and data solutions that meet R&D Commercialization needs. You will work with product managers, analysts, and engineers to translate requirements into secure, reliable systems.

The role involves API development, data pipelines, and automations, with containerization using Docker/Kubernetes on AWS. You will contribute to DevOps practices, testing, monitoring, and production support in a

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