This role pays less than
94%
of similar roles. Most pay
$150,000–$197,242
— the shaded band above.
At the midpoint, this role pays about
$121k
versus about
$174k
for comparable roles.
Based on 240 similar postings.
Employer
About Amgen
Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals
Amgen currently has
46 open roles
on FindRole.
Listed pay typically runs
$136,906–$184,235
across 44 roles with salary data.
The Sr Associate Software Engineer joins the Information Systems team to design, develop, and support scalable software, data, and automation solutions for R&D Commercialization business needs. This role involves managing the full software development lifecycle, including solution design, configuration, testing, deployment, and production support. The engineer will build production-ready applications, data pipelines, APIs, and microservices while ensuring system observability and operational reliability. Key technologies include Python, SQL, PySpark, Databricks, and various cloud platforms such as AWS (ECR, EKS, ECS, Fargate). Additionally, the role utilizes Docker, Kubernetes, and tools like Git and GitLab for CI/CD pipelines. The position focuses on solving complex technical challenges in a highly regulated biotechnology environment, specifically addressing requirements for data quality, security controls, and automated workflows to support the delivery of innovative medicines.
What does a Software Engineer earn in Remote?
Median $204500 from 415 postings across 57 companies.
Design, develop, and support scalable enterprise software applications, APIs, and automation solutions using Python and SQL.
Translate business requirements into technical designs, data flows, integration patterns, and testable acceptance criteria.
Build and maintain data pipelines, transformations, and quality controls using PySpark, Databricks, and other integration tools.
Develop and deploy containerized applications using Docker and Kubernetes across various cloud platforms.
Support DevOps practices including CI/CD pipelines, automated builds, infrastructure automation, and release coordination.
Monitor system health using logging and alerting tools while troubleshooting production incidents and performing root-cause analysis.
Implement security controls for application secrets, certificates, authentication, and identity management.
Create technical documentation including architecture diagrams, API specifications, and operational runbooks.
What we're looking for
Must have a Master's degree plus 3 years, Bachelor's plus 4 years, Associate's plus 6 years, or High School diploma plus 8 years of Information Systems experience.
Demonstrated experience developing, integrating, deploying, or supporting enterprise software or data solutions.
Proficiency in Python and SQL for developing production-ready applications, services, and data solutions.
Experience working with cloud platforms, data engineering tools (like Databricks), and automation technologies.
Ability to develop and integrate APIs, web services, microservices, and event-driven solutions.
Experience with CI/CD pipelines, DevOps practices, source control (Git/GitLab), and containerized environments (Docker, Kubernetes).
Proficiency in troubleshooting production issues, performing root-cause analysis, and managing application security controls.
Ability to create technical documentation and communicate effectively with both technical and non-technical stakeholders.