What is a Software Engineer at Amgen?

At Amgen, if you feel like you are part of something bigger, it is because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. As a Software Engineer, you are not just writing code; you are building the technological foundation that enables our global commercial operations, accelerates our research, and supports our environmental sustainability goals. Since 1980, we have helped pioneer the world of biotech, and our engineering teams are critical in delivering innovative medicines to millions of patients across our core therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease.

Your role will place you at the intersection of advanced technology and life sciences. You will be instrumental in driving the strategy, development, and implementation of scalable software solutions. Whether you are building reusable accelerators for enterprise applications, integrating state-of-the-art Large Language Models (LLMs) into our internal platforms, or leveraging data science to assess climate risk across our global supply chain, your work will have a tangible, lasting impact.

Expect to operate in an award-winning culture that is collaborative, innovative, and deeply science-based. The scale of our operations requires engineers who are comfortable navigating complex, matrixed environments and who possess a passion for both technical excellence and continuous learning. You will thrive here if you are ready to transform the lives of patients while simultaneously transforming your career.

Common Interview Questions

The following questions represent the types of challenges you will face during your interviews. They are drawn from actual candidate experiences and reflect the core competencies required for this role. Use these to identify patterns in our questioning and to practice structuring your responses.

Technical & Cloud Architecture

These questions test your hands-on coding ability and your familiarity with our core technology stack.

• How do you optimize an AWS Lambda function to reduce cold start times?
• Write a Python script to parse and transform a large dataset from a NoSQL database, ensuring memory efficiency.
• Explain your approach to containerizing a legacy application using Docker.
• How do you implement automated testing within a CI/CD pipeline to ensure zero-downtime deployments?

AI & Data Engineering

Given our focus on innovation, you may be asked how you handle modern AI integrations and data models.

• Describe how you would integrate an LLM using LangChain to query internal company documents.
• What are the architectural differences between deploying a standard web API and deploying an API for a machine learning model via Amazon SageMaker?
• How would you design a data model to track and evaluate physical climate risks across a global supply chain?

System Design

These questions evaluate your ability to architect scalable, secure, and reusable platforms.

• Design a scalable internal platform that allows various engineering teams to access and reuse software accelerators.
• How would you architect a system to handle high-volume, real-time data ingestion from global manufacturing assets?
• What governance and security frameworks would you put in place for a new enterprise-wide software platform?

Behavioral & Leadership

These questions assess your alignment with Amgen's culture, your leadership capabilities, and your communication skills.

• Tell me about a time you had to push back on a product manager's request because of technical debt or security concerns.
• Describe a situation where you mentored a junior engineer through a complex technical challenge.
• How do you stay updated with the latest industry trends, and how have you applied a new technology to solve a business problem?
• Why are you passionate about Amgen’s mission to serve patients, and how does that influence your work as an engineer?

Getting Ready for Your Interviews

Preparing for an interview at Amgen requires a balanced focus on technical mastery, architectural vision, and cultural alignment. You should approach your preparation by understanding the core competencies our hiring teams evaluate.

Technical & Cloud Proficiency You will be assessed on your ability to build and deploy robust, full-stack applications. Interviewers will look for hands-on experience with modern cloud infrastructure, particularly AWS, as well as your fluency in core programming languages like Python, JavaScript, and SQL.

System Design & Scalability We evaluate your capacity to design reusable, secure, and scalable software platforms. You can demonstrate strength here by articulating how you architect solutions that integrate seamlessly with existing enterprise systems while handling large-scale data and user demands.

Innovation & Advanced Technologies With our increasing focus on AI and machine learning, you will be evaluated on your familiarity with modern frameworks. Candidates stand out by showing practical experience with LLMs, LangChain, vector databases, and MLOps pipelines.

Mission Alignment & Cross-Functional Collaboration Because our work directly impacts patient lives, we look for a deep commitment to our mission. You will be evaluated on your ability to communicate complex technical concepts to diverse audiences, mentor peers, and collaborate effectively with product managers, data scientists, and scientific experts.

Interview Process Overview

The interview process for a Software Engineer at Amgen is designed to be thorough, collaborative, and reflective of our science-based culture. You will typically begin with an initial recruiter screen to align on your background, expectations, and passion for the biotech industry. This is followed by a technical screen with a hiring manager or senior engineer, which focuses on your core programming skills, cloud experience, and high-level architectural understanding.

If successful, you will advance to a virtual onsite loop consisting of several specialized rounds. These sessions dive deeply into system design, advanced technical frameworks (such as AI/ML integration or DevOps practices), and behavioral alignment. Our interviewers rely heavily on data and concrete examples, so you should expect a process that values structured problem-solving over abstract theorizing. We want to see how you approach real-world engineering challenges within a highly regulated, global enterprise.

This visual timeline outlines the typical progression of our interview stages, from the initial screening to the final comprehensive onsite loop. Use this to structure your preparation, ensuring you allocate sufficient time to practice both hands-on coding and high-level system design before the final rounds. Keep in mind that specific stages may vary slightly depending on your exact level and the team you are interviewing with.

Deep Dive into Evaluation Areas

To succeed in your interviews, you must demonstrate proficiency across several key technical and behavioral domains. Our engineers operate across the full stack and are expected to understand the broader impact of their architectural decisions.

Cloud Computing & Platform Engineering

This area tests your ability to build, deploy, and manage applications in the cloud. At Amgen, we rely heavily on cloud-native architectures to ensure our platforms are scalable, secure, and globally accessible. Strong performance means moving beyond basic deployments to discussing infrastructure as code, containerization, and automated pipelines.

Be ready to go over:

• AWS Ecosystem – Deep understanding of services like AWS Lambda, API Gateway, and managed databases.
• Containerization & Orchestration – Experience with Docker and container orchestration systems.
• CI/CD & DevOps – Designing and maintaining automated testing and deployment pipelines.
• Database Architecture – Trade-offs between SQL and NoSQL databases for specific enterprise use cases.

Example questions or scenarios:

• "Walk me through how you would design a scalable, serverless architecture using AWS Lambda and API Gateway."
• "Describe a time you optimized a CI/CD pipeline to reduce deployment times across a global engineering team."
• "How do you ensure data security and compliance when integrating a new NoSQL database into an existing enterprise platform?"

AI, Machine Learning & Advanced Frameworks

As Amgen continues to innovate, integrating AI and machine learning into our software platforms is becoming increasingly critical. You will be evaluated on your practical experience with modern AI tools and how you operationalize them within a production environment.

Be ready to go over:

• LLM Integration – Utilizing frameworks like LangChain, LlamaIndex, and agentic frameworks.
• Vector Databases – Managing and querying VectorDBs for advanced search and contextual data retrieval.
• MLOps – Deploying and monitoring machine learning models using tools like Amazon SageMaker and Amazon Bedrock.

Example questions or scenarios:

• "Explain how you would build a retrieval-augmented generation (RAG) pipeline using LangChain and a vector database."
• "What are the key challenges in transitioning a machine learning model from a local environment to production using MLOps best practices?"

System Design & Reusable Architecture

We need engineers who can think at an enterprise scale. This evaluation area focuses on your ability to design systems that are not only effective for a single use case but can be leveraged as reusable accelerators across multiple product teams.

Be ready to go over:

• Microservices Architecture – Decoupling complex monolithic applications into resilient services.
• Governance & Reliability – Developing frameworks to manage platform usage, ensure uptime, and monitor system health.
• Integration – Seamlessly connecting new software platforms with legacy enterprise systems.

Example questions or scenarios:

• "Design a global platform service that multiple internal business units can use to access standardized patient data models."
• "How do you balance the need for rapid feature delivery with the necessity of maintaining strict security and governance frameworks?"

Cross-Functional Leadership & Behavioral Fit

Engineering at Amgen is a team effort. You will be assessed on your ability to navigate a matrixed environment, communicate with non-technical stakeholders, and mentor junior engineers. Strong candidates exhibit a collaborative mindset and a clear connection to our patient-first mission.

Be ready to go over:

• Stakeholder Management – Translating business demands from commercial or sustainability teams into technical requirements.
• Mentorship – Fostering a culture of continuous learning and innovation within your team.
• Navigating Ambiguity – Delivering results when project parameters are shifting or complex.

Example questions or scenarios:

• "Tell me about a time you had to explain a complex technical trade-off to a non-technical business leader."
• "Describe a situation where you identified a process improvement in the development lifecycle and successfully drove its adoption."

Key Responsibilities

As a Software Engineer at Amgen, your day-to-day work will bridge the gap between high-level strategy and hands-on technical execution. You will be responsible for defining technical operations and delivering reusable software solutions that empower both our business and engineering teams. This involves writing clean, scalable code in Python or JavaScript, managing database architectures, and ensuring that your applications are deployed securely via robust CI/CD pipelines.

Collaboration is a massive part of your daily routine. You will work cross-functionally with product managers, architects, and technical experts in diverse fields—ranging from global commercial operations to environmental sustainability. Whether you are investigating supply chain data models or building internal platforms that enhance our research capabilities, you will be expected to understand the business demand and engineer solutions that meet those needs.

For senior or leadership-focused roles, your responsibilities will expand to include developing the strategic vision for software platform services. You will monitor team performance, mentor engineers, and present technical updates to executive leadership. You will also be tasked with enforcing governance frameworks and identifying opportunities for process improvements across the entire software development lifecycle.

Role Requirements & Qualifications

To thrive as a Software Engineer at Amgen, you must bring a robust blend of technical expertise, strategic thinking, and a collaborative spirit. We look for candidates who have a proven track record of delivering impactful solutions in complex environments.

• Must-have technical skills – Deep proficiency in Python, JavaScript, and SQL. Extensive hands-on experience with cloud computing services, particularly AWS (Lambda, API Gateway, container technology). Strong background in full-stack development and automated CI/CD (DevOps) practices.
• Must-have experience – A relevant degree (Bachelor’s, Master’s, or Doctorate) combined with appropriate years of experience in software engineering or cloud computing. Demonstrated experience managing large-scale technology projects and working in interactive, matrixed environments.
• Nice-to-have skills – Practical experience with advanced AI frameworks (LangChain, LlamaIndex, VectorDB, SageMaker, Bedrock) and MLOps. Familiarity with environmental data modeling or sustainability reporting schemes (like CDP or CSRD) is highly valued for specific operational roles.
• Soft skills – Exceptional written and oral communication skills. The ability to present complex environmental or technical data to diverse audiences. Strong relationship-building capabilities and a passion for mentoring high-performing teams.

Frequently Asked Questions

Q: How difficult is the technical interview process? The technical rounds are rigorous and expect a high level of proficiency, particularly in cloud architecture and system design. However, interviewers are looking for your problem-solving process and how you communicate trade-offs, not just flawless syntax.

Q: Do I need a background in biology or life sciences to succeed? No, a life sciences background is not required for software engineering roles. We hire technical experts to build our platforms. However, a strong willingness to learn about our business domain and a genuine passion for our patient-centric mission are essential.

Q: How much preparation time should I dedicate to AI and ML topics? If your specific role description mentions LLMs, LangChain, or MLOps, you should be prepared to discuss them deeply. For general full-stack roles, a conceptual understanding of how these tools integrate into modern architectures is highly beneficial.

Q: What is the typical timeline from the initial screen to an offer? The process usually takes between 3 to 6 weeks, depending on interviewer availability and the complexity of the scheduling for the virtual onsite loop.

Q: What is the working style at Amgen regarding remote and hybrid work? Working models vary by specific team and location. Some roles, such as certain operational or internship positions, may be fully remote, while others in major hubs like Washington, DC, or Amgen India may follow a hybrid model. Clarify the expectations for your specific role with your recruiter.

Other General Tips

• Connect to the Patient: Always keep the end goal in mind. When discussing your past projects, frame your impact not just in technical metrics (like latency or cost savings), but in how those improvements ultimately support the business and, by extension, the patients.
• Structure Your Answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions. Be specific about your individual contributions, especially when discussing large-scale team projects.

• Embrace Ambiguity: You will likely be given open-ended technical scenarios. Ask clarifying questions to define the scope before you start designing a solution. We want to see your requirements-gathering process.
• Highlight Cross-Functional Impact: Emphasize any experience you have working with diverse teams (e.g., data scientists, environmental teams, commercial operations). Collaboration is a core pillar of our culture.

Summary & Next Steps

Joining Amgen as a Software Engineer is an opportunity to leverage your technical expertise to make a profound difference in the world. You will be challenged to build scalable, innovative platforms using the latest advancements in cloud computing, AI, and software architecture. By preparing thoroughly for our technical assessments, system design rounds, and behavioral interviews, you will be well-positioned to demonstrate your value to our teams.

The compensation data provided above offers a view into the expected salary range for software engineering roles at Amgen. Keep in mind that total compensation packages often include bonuses, equity, and comprehensive benefits that reflect your seniority, location, and specific technical expertise. Use this information to ensure your expectations align with the market and the scope of the role you are pursuing.

Focus your preparation on mastering the intersection of robust technical execution and clear, cross-functional communication. Remember to review our core mission and think about how your specific engineering skills can accelerate our ability to serve patients. For more detailed insights, peer experiences, and targeted practice, continue exploring resources on Dataford. You have the skills and the potential—now it is time to confidently showcase them. Good luck!