Mulesoft Engineer, Senior

Overview

BigBear.ai is seeking an experienced Senior MuleSoft Developer to join our team. The ideal candidate will have extensive experience in designing and developing MuleSoft applications and APIs, particularly within private cloud environments like AWS. This role involves remote work, with mandatory on-site presence for projects involving classified data, and will require integration of applications with various AWS services.

In office at HQ, in McLean, once a month. Optional to go to Chantilly on Tuesdays, if needed, but unlikely necessary. As the project matures and IL6 status is reached, you'll be on-site in Chantilly, VA 2-3 days per week. Start Date: Oct 14, 2024

What you will do

• Design and develop robust MuleSoft applications and APIs in a private cloud environment, particularly within AWS Gov.

• Work on critical projects that involve handling and developing applications for classified data, requiring an on-site presence.

• Integrate MuleSoft applications with various AWS services, ensuring seamless functionality and performance.

• Collaborate with cross-functional teams to understand requirements and deliver scalable and efficient MuleSoft solutions.

• Lead the full development lifecycle, from design and development to testing, deployment, and support.

• Implement best practices for MuleSoft development, ensuring high-quality and secure applications.

• Stay updatedwith the latest MuleSoft features and AWS services, continually enhancing application capabilities.

What you need to have

• Bachelor's Degree in Computer Science, Engineering, Information Technology and 5+ years of experience, or;

• Associates Degree and 7+ years of experience, or;

• Master's Degree and 3+ years of experience, or;

• PhD and some professional experience

• (in lieu of Bachelor's degree, 9+ years of relevant experience)

• Clearance: must possess and maintain a Secret clearance

• Minimum of 5 years of experience in MuleSoft development

• Strong experience with designing and developing applications and APIs using MuleSoft in a cloud environment, preferably AWS

• Demonstrated ability to work on projects requiring on-site presence for handling classified data

• Proficient using DataWeave and Mulesoft Components to ETL data

• Strong understanding of ETL processes and tools.

• Experience with message queuing technologies such as RabbitMQ, SQS, or JMS.

• Experience deploying in various ways including Cloudhub, Hybrid, Anypoint platform private cloud, Anypoint runtime fabric, etc

• Proficiency in AWS services and their integration with MuleSoft applications

• Excellent problem-solving abilities and a strong sense of ownership.

• Solid understanding of Java and Java frameworks like Spring is a plus.

What we'd like you to have

• Experience with AWS development and knowledge of its service ecosystem.

• Certifications in MuleSoft and AWS technologies.

• Strong communication and collaboration skills, capable of leading projects and mentoring team members.

• Experience in supporting DoD agencies, preferably Army.

About BigBear.ai

BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai's customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai's solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: http://bigbear.ai/ and follow BigBear.ai on Twitter: @BigBearai.