MuleSoft Integration Engineer

Overview

On Site
Full Time

Skills

MuleSoft Integration Engineer

Job Details

MuleSoft Integration Engineer

We are seeking an experienced MuleSoft Integration Engineer to join our Enterprise Data Management (EDM) Technology organization. In this role, you will design and implement MuleSoft-based integration solutions for our Investment Data Platform and support the launch of a new Derivatives Platform. This is an opportunity to apply your expertise in API development, cloud platforms, and integration frameworks to a strategic initiative aimed at unifying and harmonizing investment data.

Responsibilities

  • Design, develop, and implement scalable API services using MuleSoft to connect internal investment systems with the Investment Data Platform.

  • Collaborate with business analysts and technology teams to gather requirements and deliver effective integration solutions.

  • Build and maintain APIs for the new Derivatives Platform, ensuring seamless integration with enterprise systems.

  • Utilize cloud platforms (AWS, Azure) to modernize and optimize MuleSoft-based infrastructure.

  • Partner with EDM Technology team members and stakeholders to maintain a collaborative integration environment.

  • Implement error handling, logging, and monitoring for reliable API performance.

  • Promote Agile (Scrum, Kanban) and DevOps best practices to enable continuous delivery and improvement.

Qualifications

  • Bachelor's degree in Computer Science or related field (or equivalent experience).

  • 5 8 years of experience designing, developing, and deploying API integrations in the financial services industry.

  • Proven experience with financial data (instruments, transactions, positions).

  • Expertise in MuleSoft Anypoint Platform (API design, development, and management).

  • Strong knowledge of Agile methodologies and DevOps principles.

  • Proficiency in Java, Python, or JavaScript, and experience with REST and SOAP APIs.

  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud-native integration patterns.

  • Understanding of data modeling and transformation (JSON, XML, XSLT).

  • Excellent communication and collaboration skills.

Preferred Skills

  • Knowledge of event-driven architecture and messaging systems (Kafka, RabbitMQ).

  • Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI/CD).

  • Experience with BI tools (Tableau, Power BI) for API-driven visualizations.

  • Familiarity with API security frameworks (OAuth 2.0, OpenID Connect).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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