Senior Software Engineer – DevOps

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 data to push beyond what’s known today.

ABOUT THE ROLE

Let’s do this. Let’s change the world. At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We’ve built algorithms that predict bone fractures in patients who haven’t even been diagnosed with osteoporosis yet. We’ve built software to help us select clinical trial sites so we can get medicines to patients faster. We’ve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And that’s just a part of the beginning. Join us!

We are seeking a Senior DevOps Software Engineer to join the Lab’s software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior DevOps Software Engineer will design and implement deployment strategies for AI systems using the AWS stack, ensuring high availability, performance, and scalability of applications.

Roles & Responsibilities:

• Design and implement deployment strategies using the AWS stack, including EKS, ECS, Lambda, SageMaker, and DynamoDB.
• Configure and manage CI/CD pipelines in GitLab to streamline the deployment process.
• Develop, deploy, and manage scalable applications on AWS, ensuring they meet high standards for availability and performance.
• Implement infrastructure-as-code (IaC) to provision and manage cloud resources consistently and reproducibly.
• Collaborate with AI product design and development teams to ensure seamless integration of AI models into the infrastructure.
• Monitor and optimize the performance of deployed AI systems, addressing any issues related to scaling, availability, and performance.
• Lead and develop standards, processes, and best practices for the team across the AI system deployment lifecycle.
• Stay updated on emerging technologies and best practices in AI infrastructure and AWS services to continuously improve deployment strategies.
• Familiarity with AI concepts such as traditional AI, generative AI, and agentic AI, with the ability to learn and adopt new skills quickly.

Functional Skills:

• Deep expertise in designing and maintaining CI/CD pipelines and enabling software engineering best practices and overall software product development lifecycle.
• Ability to implement automated testing, build, deployment, and rollback strategies.
• Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization.
• Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred).
• Experience with databases (Postgres/DynamoDB)
• Experience with microservices architecture and containerization (Docker, Kubernetes).

Good-to-Have Skills:

• Familiarity with enterprise software systems in life sciences or healthcare domains.
• Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark).
• Knowledge of data security, privacy regulations, and scalable software solutions.

Soft Skills:

• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to foster a collaborative and innovative work environment.
• Strong problem-solving abilities and attention to detail.
• High degree of initiative and self-motivation.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Software Engineering, or related field.
• 8+ years of experience in full-stack software engineering.

EQUAL OPPORTUNITY STATEMENT

• Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
• We will ensure that individuals with disabilities are provided with 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 an accommodation.