Senior Associate Software Engineer
About this opportunity
Career Category
Engineering
Job Description
ABOUT AMGEN
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.
Role Description
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 so ftware-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, testing, security validation, and deployment.
Troubleshoot application defects, production incidents, integration issues, and performance bottlenecks.
Implement logging, monitoring, alerting, and operational dashboards.
Maintain technical documentation, including solution designs, API specifications, deployment guides, and support procedures.
Collaborate with product, UX/UI, QA, data engineering, cybersecurity, architecture, and DevOps teams.
Participate in Agile ceremonies, estimation, and release planning.
Stay current with emerging software, cloud, security, UI, and AI technologies.
Participate in production support activities, including occasional off- hours support.
Basic Qualifications and Experience
Master’s or Bachelor’s degree and 5–9 years of experience in Computer Science, Information Technology, Software Engineering, Engineering, or a related field.
Must-Have Skills
Strong foundation in software design, object-oriented programming, design patterns, RESTful APIs, microservices, cloud-native applications, and containerization.
Strong hands-on experience with full-stack software development.
Strong proficiency in Python, TypeScript or JavaScript, HTML5, CSS3, and SQL.
Proficiency in FastAPI , including API design, validation, dependency injection, authentication, exception handling, testing, and deployment.
Hands-on experience developing modern web applications using React and Vite.
Experience with component-based architecture, state management, routing, reusable components, responsive design, and performance optimization.
Experience integrating applications with RESTful or GraphQL APIs, databases, enterprise platforms, and third-party services.
Understanding of web accessibility standards, including WCAG.
Experience with cloud-based application development, with AWS preferred.
Familiarity with AWS services such as Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CloudWatch, and EventBridge .
Experience with Git, CI/CD, automated testing, code-quality controls, and production deployment.
Experience with Docker and containerized application development.
Understanding of authentication, authorization, RBAC, secrets management, secure APIs, and OWASP Top 10.
Experience with application-security or code-quality tools such as Veracode, Snyk , SonarQube, Checkmarx , Fortify, or equivalent platforms.
Experience analyzing and remediating code-quality, dependency, and security findings.
Understanding of Generative AI concepts, including LLMs, RAG, prompt engineering, embeddings, and AI-assisted development.
Experience using tools such as GitHub Copilot, OpenAI Codex, Cursor, or equivalent approved platforms.
Strong analytical, debugging, troubleshooting, and problem-solving skills.
Experience delivering software using Agile methodologies.
Good-to-Have Skills
Experience with UI component libraries such as Material UI, Ant Design, or Fluent UI.
Experience with Kubernetes and container orchestration.
Experience with AWS-native serverless and cloud-native architectures.
Experience with Infrastructure as Code using Terraform, AWS CDK, CloudFormation, or equivalent tools.
Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry .
Experience with relational and NoSQL databases.
Experience with message queues, asynchronous processing, and event-driven technologies.
Familiarity with DevSecOps , software composition analysis, penetration testing, and container-security scanning.
Experience with machine learning model integration, model-serving APIs, or MLOps platforms.
Experience developing GenAI applications using LangChain , LangGraph , LlamaIndex , Semantic Kernel, Amazon Bedrock, or equivalent technologies.
Experience with vector databases and semantic search.
Experience collaborating with UX/UI designers.
Experience in biotechnology, pharmaceutical, life sciences, manufacturing, or another regulated industry.
Preferred Certifications
AWS Certified Developer, Solutions Architect, or another relevant cloud certification.
Relevant software-development , DevOps, Kubernetes, application-security , AI, or machine-learning certification.
Scaled Agile Framework certification.
Soft Skills
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills .
Ability to work effectively with global and virtual teams.
High degree of initiative, ownership, and self-motivation.
Ability to manage multiple priorities and meet delivery commitments.
Strong teamwork, collaboration, and presentation skills.
Ability to explain technical concepts to technical and non-technical stakeholders.
Strong attention to software quality, security, reliability, and continuous learning.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 378 comparable Senior Information Technology roles across 34 biopharma companies.
Salary context
45 of 378 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 378 comparable roles
+ 15 more countries
Seniority mix
378 of 378 peers have a known seniority level
Therapeutic area mix
0 of 378 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.