# Software Engineer Junior - MDM at Salesforce

Salesforce is hiring a Software Engineer Junior - MDM in Mexico City, Mexico. Level rates it Uses AI ●●○○; you can [apply on Level](https://jobsbylevel.com/go/23d5934a-a6ce-425d-a480-1dbe200735d4?utm_medium=ai-agent).

AI Level 2, AI centrality 51 out of 100. Mexico - Mexico City.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 2 (score 51 out of 100)
- Location: Mexico - Mexico City
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/23d5934a-a6ce-425d-a480-1dbe200735d4?utm_medium=ai-agent

## Prepare for this job

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## Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Software Engineer Junior (AMTS) DET Team Mexico City Responsibilities Provide active L2/L3 production support for MDM applications, monitoring system health, triaging technical issues, and ensuring high platform reliability and uptime. Investigate, debug, and resolve production bugs and data pipeline failures, performing root-cause analysis on complex operational issues. Design, code, test, and deploy feature enhancements, system optimization patches, and operational automation across existing MDM pipelines, APIs, and workflows. Learn, adopt, and leverage modern AI-assisted development platforms (such as Claude, Cursor, Windsurf, GitHub Copilot) to accelerate bug fixing, code refactoring, test generation, and incident resolution. Contribute to the ongoing maintenance and enhancement of end-to-end data integrations, API orchestration services, Airflow workflows, and batch/real-time data processing pipelines. Support data quality validation, data stewardship workflows, and third-party data enrichment integrations (e.g., Dun & Bradstreet, Moody's, Leadspace). Write clean, maintainable Java/Python code, REST APIs, SQL scripts, and automated unit tests following team engineering standards. Participate actively in operational readiness reviews, code reviews, release deployments, and sprint planning under the guidance of senior engineers. Maintain clear technical documentation, runbooks, and playbooks to streamline support practices and troubleshooting procedures across the team. Demonstrate strong ownership, proactive communication, and initiative in managing both planned enhancement tasks and high-priority support issues across globally distributed teams. Required Skills / Experience Minimum Qualification s Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field (or equivalent practical experience). 4+ years of relevant software engineering, data engineering, enterprise application support, or maintenance experience. Strong problem-solving, debugging, and analytical skills with a proven track record of troubleshooting complex production data systems and application issues. Practical experience with object-oriented programming (preferably Java or Python) and RESTful API development/integration. Solid experience with database management, SQL scripting, data modeling, and diagnosing complex data anomalies. Experience leveraging modern AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate development, code debugging, and test automation. Solid understanding of core software engineering practices, version control (Git), CI/CD pipelines, and automated testing frameworks. Hands-on exposure to enterprise integration patterns, cloud platforms (AWS/GCP/Azure), ETL/ELT workflows, or streaming technologies (Kafka). Strong written and verbal communication skills with a focus on ownership and operational efficiency. Preferred Qualification s Hands-on experience with Master Data Management (MDM) platforms (e.g., Informatica SaaS MDM, Reltio, or similar toolsets). Experience supporting enterprise integration systems such as MuleSoft, Apache Airflow, or

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