The Sr Associate Software Engineer is responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, data engineers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime.
You will play a key role in enabling Amgen’s Process Development team to further unlock the potential of computational modeling and simulation to advance Amgen’s molecule pipelines. You will help to enable right first-time tech transfers and deliver against pipeline milestones. You will drive further lifecycle enhancements to build competency and further increase expertise across the Model Asset Commons development value stream.
Roles & Responsibilities:
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code
- Contribute to both front-end and back-end development using cloud technology
- Develop innovative solution using generative AI technologies
- Ensure code quality and adherence to best practices
- Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
- Identify and resolve technical challenges effectively
- Stay updated with the latest trends and advancements
- Work closely with product team, business team, and other stakeholders
- Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
- Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
- Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
- Identify and resolve software bugs and performance issues
- Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
- Customize modules to meet specific business requirements
- Work on integrating with other systems and platforms to ensure seamless data flow and functionality
- Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
Basic Qualifications and Experience:
- Master’s degree with 3 - 5 years of experience in Computer Science, IT or related field OR
- Bachelor’s degree with 5 - 7 years of experience in Computer Science, IT or related field OR
- Diploma with 7 - 9 years of experience in Computer Science, IT or related field
Functional Skills:
Must-Have Skills:
- Knowledge of HTML, CSS, and JavaScript, along with popular front-end frameworks like React or Angular, is required to build interactive and responsive web applications
- Proficiency in Python/PySpark development, Fast API, PostgreSQL, Databricks, DevOps Tools, CI/CD, Data Ingestion.
- Candidates should be able to write clean, efficient, and maintainable code.
- In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Strong understanding of cloud computing principles, particularly within the AWS ecosystem
- Strong understanding of software development methodologies, including Agile and Scrum
- Experience with version control systems like Git
- Hands on experience with various cloud services, understand pros and cons of various cloud service in well architected cloud design principles
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
- Experienced with API integration, serverless, microservices architecture.
- Experience in SQL/NOSQL database, vector database for large language models
Good-to-Have Skills:
- Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
- Experience with data processing tools like Hadoop, Spark, or similar
- Experience with SAP integration technologies
Soft Skills:
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
