DTTLCA-Sr Software Engineer

Conexess Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Conexess Group in New York is seeking an experienced Integration Engineer to design, develop, test, and support end-to-end MuleSoft-based integration solutions. You will build Mule 4.x services, data mappings, and APIs, collaborating with enterprise teams to deliver reliable data movement.

The role requires RAML 1.0, REST/SOAP, DataWeave 2.0, CI/CD, and Agile delivery. You will contribute to deployment, troubleshooting, and documentation in a distributed delivery environment, ensuring

Qualifications

• 7+ years of software development or integration engineering experience.
• Hands-on MuleSoft Anypoint Platform, Mule 4.x, and DataWeave 2.0.
• Experience designing APIs with RAML 1.0 and API-led connectivity.
• Experience with REST, SOAP, XML, JSON and data integration workflows.
• Strong debugging, problem-solving, and communication skills.

Responsibilities

• Design, develop, test, and support end-to-end MuleSoft integrations.
• Build and maintain Mule 4.x services, flows, and connectors.
• Develop APIs and integration services using RAML 1.0, REST, SOAP, XML, JSON.
• Implement ETL/ELT workflows for data movement across systems.
• Collaborate with QA, data engineering, and platform teams to ensure quality.
• Provide documentation and support for deployments, CI/CD, and release management.

Skills

MuleSoft Platform

Mule 4.x

DataWeave 2.0

RAML API design

REST/SOAP/XML/JSON

ETL/ELT

CI/CD

Agile delivery

Debugging

Communication

Tools

MuleSoft Anypoint Platform

RAML 1.0

DataWeave 2.0

CI/CD tooling

Job description

Job Description:

Key Responsibilities

• Design, develop, test, and support end-to-end integration solutions using MuleSoft Anypoint Platform.
• Build and maintain Mule 4.x services, flows, connectors, and reusable integration components.
• Develop new APIs and integration services using RAML 1.0, REST, SOAP, XML, and JSON.
• Implement and support ETL/ELT workflows that move, transform, validate, and orchestrate data across systems.
• Develop robust transformations using DataWeave 2.0 and related mapping logic.
• Integrate Cornerstone Galaxy with upstream and downstream enterprise systems, including legacy learning platforms and related business applications.
• Work with technical leads and architects to translate business requirements into scalable integration and data movement solutions.
• Support deployment, release management, CI/CD pipelines, and environment promotion activities.
• Troubleshoot interface failures, data issues, and API defects; perform root-cause analysis and implement fixes.
• Maintain detailed technical documentation for APIs, mappings, transformations, and support procedures.
• Collaborate with QA, data engineering, and platform teams to ensure solution quality and delivery readiness.
• Provide status updates and work effectively in a geographically distributed delivery environment.

Qualifications

Must-Have Skills

• 7+ years of experience in software development or integration engineering.
• Strong hands-on experience with MuleSoft Anypoint Platform.
• Deep experience with Mule 4.x and DataWeave 2.0.
• Strong experience designing and delivering new APIs using RAML 1.0 and API-led connectivity.
• Extensive experience with ETL/ELT, data movement, and transformation workflows.
• Strong working knowledge of REST, SOAP, XML, JSON, and web services.
• Experience with CI/CD, release management, and Agile delivery.
• Strong debugging, analysis, and problem-solving skills.
• Excellent written and verbal communication skills.

Nice-to-Have Skills

• Exposure to learning platforms, HR systems, or talent technology ecosystems.
• Experience integrating with Salesforce, identity platforms, or enterprise reporting tools.
• Familiarity with reusable MuleSoft design patterns and integration frameworks.
• Exposure to Python for scripting, automation, or supporting integration utilities.
• Hands-on use of GitHub Copilot or Claude for developer productivity.
• Experience working in a global, distributed delivery model.

Work Environment

• Ability to work independently and collaboratively in a fast-paced delivery environment.
• Comfortable participating in online meetings and providing clear status updates across distributed teams.