Entry-level MuleSoft Junior Developer

Position Overview

Location:

Missoula, MT (Non-Exempt)

Experience Level: 0–1 Years

Employment Type:

Full-Time

At Cognizant CX/CRM Moment Practice, small cross‑functional teams comprised of Product Managers, Architects, Developers, Designers, and Analysts build high‑quality software faster than siloed individuals working independently. These nimble teams foster empathy and collaboration, enabling them to adapt quickly to changing requirements and deliver innovative cloud‑based solutions. Our teams follow a Lean‑Agile process with a Dev Ops culture, pushing digital boundaries and embracing transformational technologies in the Customer Experience and CRM areas.

Cognizant is seeking a motivated and innovative Mule Soft Jr. Developer to join our team. This role will focus on building intelligent, scalable contact center solutions using Mule Soft Anypoint platform. The ideal candidate is a collaborative engineer with a passion for cloud‑native development, AI integration, and customer experience transformation.

Cognizant is seeking an energetic, curious, and technology‑driven Gen C / college graduates to join our Mule Soft Integration Engineering team
. Mule Soft Jr. Developer will be trained and mentored to build modern API‑led connectivity solutions that power digital transformation for global enterprises. Trained associates will be part of a collaborative, high‑performing team that designs, develops, and delivers integration solutions using the Mule Soft Anypoint Platform, while also learning how AI‑powered tools, accelerators, and automation enhance API development, testing, monitoring, and integration lifecycle productivity.

• Learn and apply API‑led design principles to build integrations using Mule Soft Anypoint Platform.
• Develop, test, and deploy APIs, integrations, and microservices under guidance from senior developers and architects.
• Learn to leverage AI‑powered Mule Soft developer tools such as Anypoint Code Builder, which provides intelligent code suggestions, flow generation, RAML generation, Data Weave script creation, and automated error correction.
• Assist in building AI‑augmented integration flows using generative flows, AI‑powered RAML generation, intelligent mapping, SQL generation, and automated documentation. Work with connectors, Data Weave transformations, RAML/OAS API specs.
• Troubleshoot and debug issues during development and deployment cycles.
• Follow best practices, coding standards, and documentation guidelines defined by the practice.
• Collaborate with Agile teams participating in standups, sprint planning, and reviews.
• Continuously upskill through internal bootcamps, training programs, and certification tracks supported by the Mule Soft CoE.

• Bachelor’s degree in Computer Science, IT, Engineering, or equivalent.
• Strong proficiency in core programming with Java, C++, Python, JavaScript, and other similar languages.
• Good knowledge of REST/SOAP APIs, JSON/XML and JMS messaging.
• Good grasp of data structures, algorithms, and problem‑solving fundamentals.
• Spring, Maven, and related frameworks and technology.
• Understanding of databases (SQL/No
  
  SQL) and cloud fundamentals.
• Understanding of Git, CI/CD, SDLC, and integration patterns.
• Eagerness to learn integration technologies, cloud platforms, APIs, and Mule Soft ecosystem.
• Strong communication and problem‑solving skills.

• Exposure to integration, API, Mule Soft, or microservices concepts through coursework, projects, or internships.
• Familiarity with Dev Ops concepts, Git, CI/CD pipelines, or monitoring tools.
• Interest in AI‑assisted development, automation tools, or using AI to improve software productivity.
• Passion for building scalable, reusable, and high‑quality software components.

New hires will start in June 2026 in our Cognizant Missoula, MT office. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.

The annual salary…