Principal Software Development Engineer
Amgen
- Location
- United States
- Job Type
- full-time
- Salary
- $179.630 - $228.979
- Posted
- December 17, 2025
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Principal Software Development Engineer
What you will do
Let’s do this. Let’s change the world. In this vital role you will join our Global Commercial Product team. As a Principal Software Developer, you will be responsible for designing, developing, deploying complex software applications, and mentoring junior developers. You will work closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions
Roles & Responsibilities:
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Possesses strong rapid prototyping skills and can quickly translate concepts into working code
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Contribute to both front-end and back-end development using cloud technology.
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Provide technical guidance and mentorship to junior developers.
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Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline
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Develop innovative solutions leveraging advanced data-driven algorithms and computational techniques.
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Define and implement robust software architectures on the cloud, AWS preferred
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Conduct code reviews to ensure code quality and adherence to best practices.
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Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations.
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Identify and resolve technical challenges effectively.
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Stay updated with the latest trends and advancements
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Work closely with product team, business team, and other stakeholders.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.
Basic Qualifications:
Doctorate degree and 2 years of software development experience
Or
Master’s degree and 4 years of software development experience
Or
Bachelor’s degree and 6 years of software development experience
Or
Associate’s degree and 10 years of software development experience
Or
High school diploma / GED and 12 years of software development experience
Preferred Qualifications:
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Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles
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Hands on experience with Full Stack software development. Proficient in programming language Python(preferred), JavaScript(including ReactJS), SQL/NoSQL.
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Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
Good-to-Have Skills:
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Experienced with API integration, serverless, microservices architecture.
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Experience in SQL/NOSQL database, vector database for large language models
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Experience with Web site development, understand of web site localization processes, which involve adapting content to fit cultural and linguistic contexts.
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Experience with popular large language models
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Experience with Langchain or llamaIndex framework for language models; Experience with prompt engineering, model fine tuning
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Experience with DevOps CICD build and deployment pipeline
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Experience with design patterns, data structures, test-driven development
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Knowledge of latest techniques for text analysis and sentiment analysis
Professional Certifications
Cloud Computing certificate preferred
Soft Skills:
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Excellent analytical and troubleshooting skills.
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Strong verbal and written communication skills
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Ability to work effectively with global, virtual teams
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High degree of initiative and self-motivation.
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Ability to manage multiple priorities successfully.
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Team-oriented, with a focus on achieving team goals
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Strong presentation and public speaking skills.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
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A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
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A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
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Stock-based long-term incentives
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Award-winning time-off plans
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Flexible work models, including remote and hybrid work arrangements, where possible
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
π― Who is this job for?
This position is ideal for a highly experienced full-stack engineer (Principal level) who excels at rapid prototyping, cloud-native architecture, and building complex, scalable systems across Python, JavaScript/React, and SQL/NoSQL. It suits someone comfortable owning projects end-to-end, mentoring teams, and designing robust AWS-based solutions while integrating advanced data-driven algorithms, LLM technologies, and modern API-driven architectures. This role fits an engineer who thrives in cross-functional collaboration, navigates ambiguity with ease, and wants to apply deep technical leadership to products that directly support large-scale global healthcare initiatives.
π¬ Potential Interview Questions
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How do you approach architecting a cloud-native system on AWS for a new product?
I start from business and non-functional requirements (scale, latency, data residency, compliance), then design a modular architecture using managed services (API Gateway, Lambda/ECS/EKS, RDS/DynamoDB, S3). I document trade-offs (cost, scalability, operational burden) and ensure observability, security, and disaster recovery are first-class concerns, not afterthoughts. -
Describe how you’ve combined Python and JavaScript/React in a full-stack application.
I typically use Python (FastAPI/Django/Flask) for backend APIs, data pipelines, and ML/LLM integration, and React for the frontend with TypeScript for type safety. I define clear API contracts (OpenAPI/Swagger), share types or schemas where possible, and enforce consistent validation and error handling across both layers. -
How would you design a scalable API that supports both REST and potential future AI/LLM features?
I’d design a clean REST surface for core resources, separate “/ai” or “/insights” endpoints for LLM-powered features, and introduce async job APIs where processing is heavy. Behind the scenes I’d decouple the LLM workflow using queues and workers so the API layer remains responsive and can evolve model providers independently. -
What’s your experience with serverless and microservices on AWS, and when do you choose which?
I’ve built event-driven systems on Lambda + API Gateway and larger microservices on ECS/EKS. For bursty, glue-like workloads I prefer serverless; for long-running, stateful, or high-throughput services where cold starts and execution limits hurt, I lean toward container-based microservices with autoscaling. -
How would you integrate a large language model into an existing production system safely and reliably?
I’d wrap the LLM behind a dedicated service with strict input/output validation, rate limiting, and logging; add guardrails (prompt templates, content filters, fallback logic) and store prompts/responses for auditing. I’d start with low-risk, assistive use cases, A/B test, and closely monitor quality, latency, and cost before expanding. -
Describe how you use DevOps and CI/CD to support rapid, safe deployments.
I set up pipelines that run tests, linters, security scans, and build artifacts, then deploy via blue/green or canary strategies. Infrastructure is managed as code, rollbacks are cheap, and production is continuously monitored so we can ship small, frequent changes with confidence. -
How do you ensure data modeling and performance for SQL/NoSQL and vector databases in AI-heavy systems?
I put transactional and relational data in SQL, high-velocity or simple key-value/document data in NoSQL, and embeddings in a vector store optimized for similarity search. I design schemas around access patterns, index carefully, and benchmark queries under realistic load before scaling out. -
Give an example of leading a complex project from concept to deployment as a principal engineer.
I typically start by clarifying the problem with product and business, draft an architecture and execution plan, and break work into milestones for multiple teams. I stay close to the code on the critical path, lead technical decisions and trade-offs, unblock others, and ensure we ship something valuable early, then iterate. -
How do you mentor senior and junior engineers while still being hands-on?
I use design reviews, pair programming, and thoughtful code reviews as primary mentoring tools, plus targeted 1:1s focused on growth. I delegate ownership of sub-systems, support them in making decisions, and step in mainly for high-risk changes or when they need help unblocking complex problems. -
How do you stay current with new cloud and AI technologies while avoiding “shiny object syndrome”?
I follow key providers’ roadmaps and research, build small spikes or prototypes for promising tech, and evaluate them against concrete needs like cost, reliability, and simplicity. Only when a tool shows clear, measurable benefit do I advocate for adopting it into our production stack.
π Job Summary
Amgen is hiring a Principal Software Development Engineer (US remote, based out of FL or CA) to design, build, and deploy complex cloud-native applications that support its global commercial product teams. You’ll work across the full stack with Python, JavaScript/React, SQL/NoSQL, AWS, APIs, serverless and microservices, while also mentoring developers and defining robust architectures for data-driven and AI-powered solutions. The role offers a salary range of $179,630–$228,979 plus strong bonuses, stock-based incentives, and comprehensive benefits. This is a chance to apply advanced engineering skills in a mission-driven biotech environment, directly impacting how innovative therapies reach patients worldwide.