Associate

About the Role

As a MuleSoft Integration Associate, you will contribute to software engineering work focused on designing, coding, testing, and supporting integration solutions that help clients advance digital transformation and improve business performance. You will learn from experienced teams, adapt to changing client needs, take ownership of assigned tasks, and develop your technical skills while delivering dependable work in a fast-paced environment within our Software and Product Innovation practice.

Key Responsibilities

• Supporting software engineering tasks across MuleSoft integration projects for client delivery.
• Developing and testing API connections, data flows, and application interfaces using MuleSoft tools.
• Assisting in the design, coding, and debugging of integration components and related software solutions.
• Gathering requirements and translating them into technical tasks for application and interface development.
• Participating in code reviews, quality assurance testing, and troubleshooting integration issues.
• Collaborating across project teams to align development work with business process and system needs.
• Applying programming languages, scripting tools, and CI/CD practices to support deployment activities.
• Learning and using technical standards, documentation practices, and software development methodologies.

Requirements & Tech Stack

• MuleSoft 4.x
• System, Process and Experience
• API
• RAML/OAS
• Anypoint Design Center
• DataWeave
• API Management
• Enterprise Application Integration
• Acceptance Test Driven Development (ATDD)
• Continuous Integration/Continuous Delivery (CI/CD)
• Business Process Management (BPM)
• Business Requirements Analysis
• Java
• Python
• JavaScript
• Complex software development methodologies
• Application lifecycle management

Qualifications

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English.
• Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering.
• Building meaningful client connections through effective communication and client management skills.