Senior Microservices Backend Engineer

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.

Let's do this. Let's change the world. In this vital role as a Senior Microservices Backend Engineer, you will lead the design and development of scalable, Python-based microservices and APIs. As a technical lead, you will drive best practices in backend engineering, containerization, and Kubernetes deployments, while mentoring junior engineers. A key focus of your work will be building the microservices that power a self-service portal for data engineers, enabling them to seamlessly provision and manage the cloud infrastructure and services they need. These solutions will integrate with Databricks and AWS cloud platforms to deliver secure, efficient, and enterprise-scale capabilities.

• Design and development of API services for managing Databricks resources, services & features and to support data governance applications to manage security of data assets following the standards
• Design and development of enterprise-level re-usable components, frameworks and services to enable data engineers
• Serve as a Lead Engineer for technical implementation of projects including planning, architecture, design, development, testing, and deployment following agile methodologies
• Collaborate with Lead Architect, Business SMEs, and Data Engineers to design cloud data solutions
• Proactively work on challenging data integration problems by implementing efficient ETL patterns, frameworks for structured and unstructured data
• Automate and optimize data pipeline and framework for easier and efficient development process
• Overall management of the Enterprise Data Fabric/Lake on AWS environment to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met
• Help define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data Fabric/Lake
• Partner with project managers, architects, business analysts, and engineers to provide technical leadership on cloud platforms (AWS, Databricks), ensuring the design and delivery of robust, scalable, and maintainable Data Lake and Big Data solutions.
• Experience developing in an Agile development environment and ceremonies
• Familiarity with code versioning using GITLAB, and code deployment tools
• Mentor junior engineers and team members

Basic Qualifications

Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science or Engineering

• Proficiency in Python-based microservices development and deployment.
• Proven experience with microservices design patterns, distributed systems, and API lifecycle management.
• Experience with containerization (Docker) and orchestration platforms (Kubernetes/EKS).
• Proficiency with SQL and data modeling for scalable systems.
• Familiarity with CI/CD pipelines, Git-based version control (GitLab/GitHub), and automated testing.
• Experience leading technical teams/projects, including architecture reviews, code reviews, and mentoring.
• Hands-on experience with AWS services (EKS, EC2, S3, RDS, SQS).
• Strong problem-solving skills and ability to design for scalability, security, and resilience.

• Experience building APIs and services for provisioning and managing AWS Databricks environments.
• Knowledge of Databricks SDK and REST APIs for managing workspaces, clusters, jobs, users, and permissions.
• Experience developing self-service portals using front-end frameworks like
• Demonstrated ability to build enterprise-grade, performance-optimized data pipelines in Databricks using Python and PySpark, following best practices and standards.
• Familiarity with building AI/ML solutions using Databricks-native features.
• Experience working with SQL/NoSQL databases and vector databases for large language model (LLM) applications.
• Exposure to model fine-tuning and timely engineering practices.
• Good communication skills to effectively present technical information to leadership and respond to collaborator inquiries.
• Certifications (preferred but not required):
  • AWS Certified Data Engineer
  • Databricks Certification
  • SAFe Agile Certification

• Proven leadership in backend engineering, able to influence architecture direction and establish best practices.
• Strong analytical and problem-solving attitude with the ability to troubleshoot sophisticated data and platform issues.
• Exceptional communication skills—able to translate technical concepts into clear, business-relevant language for diverse audiences.
• Collaborative and globally minded, with experience working effectively in distributed, multi-functional teams.
• Self-motivated and proactive, demonstrating a high degree of ownership and initiative in driving tasks to completion.
• Skilled at managing multiple priorities in fast-paced environments while maintaining attention to detail and quality.
• Team-oriented with a growth mindset, contributing to shared goals and fostering a culture of continuous improvement.
• Effective time and task management, with the ability to estimate, plan, and deliver work across multiple projects while ensuring consistency and quality.

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.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

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.