Software Engineer (Full Stack)

What you will do:

The Software Engineer designs, develops, and maintains scalable full-stack and integration solutions that support enterprise data processing, analytics, and system interoperability needs. This role focuses on backend development using Python and PySpark, front-end application development using React JS, and enterprise integration development using MuleSoft.

The engineer will be responsible for building secure, high-performance APIs, developing data pipelines, and implementing integration workflows across systems. The role requires strong hands-on development experience, understanding of data architecture and integration patterns, and the ability to work in Agile delivery teams to deliver reliable, scalable, and compliant solutions.

Roles & Responsibilities:

• Design, develop, and maintain full-stack applications supporting enterprise data processing and integration needs.
• Build and optimize backend services and distributed data pipelines using Python and PySpark.
• Develop responsive and user-friendly front-end applications using React JS, JavaScript, HTML, and CSS.
• Design, develop, and maintain MuleSoft APIs, integrations, and orchestration flows.
• Implement RESTful APIs and microservices for system-to-system communication.
• Perform data transformation, validation, and reconciliation across integrated platforms.
• Participate in integration design discussions including API-led connectivity and best practices.
• Troubleshoot and resolve performance issues across applications and integration layers.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Contribute to CI/CD pipelines, deployment automation, and DevOps best practices.
• Ensure solutions comply with Amgen SDLC, security policies, and quality standards.
• Create and maintain technical documentation for application and integration architectures.
  
  

Basic Qualifications and Experience:

• Any degree with 5 - 9 years of experience in Computer Science, IT or related field OR
  
  

Functional Skills:

Must-Have Skills:

• Strong experience in Python-based application development
• Hands-on experience with PySpark for data processing
• Front-end development experience using React JS, JavaScript, HTML, and CSS
• Solid development experience in MuleSoft (API design, RAML, DataWeave, flow development, integrations)
• Strong SQL skills and experience working with relational and/or analytical databases
• Experience designing and consuming RESTful APIs
• Understanding of data validation, reconciliation, and quality checks
• Familiarity with cloud-based platforms and data solutions
• Working knowledge of Agile/SAFe delivery methodologies
• Strong problem-solving and debugging skills
  
  

Good-to-Have Skills:

• Experience with Java or Jira-based application development.
• Experience developing dashboards and reports using Power BI.
• Experience on Databricks for Data processing would be an added advantage.
• Knowledge of Windows servers and Microsoft technologies.
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience with CI/CD pipelines, logging, and monitoring tools
• Familiarity with big data ecosystems and distributed processing frameworks
  
  

Professional Certifications :

• Relevant technical certifications (preferred, not mandatory).
  
  

Soft Skills:

• Strong analytical and troubleshooting abilities
• Excellent verbal and written communication skills
• Ability to collaborate effectively with global and cross-functional teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities and deliver results
• Team-oriented mindset with a focus on quality and outcomes