Junior Software Engineer: AI-Driven Data & APIs

Salesforce, Inc.; Ciudad de México; On-site; MXN 500,000 - 900,000; Full time

Job summary

Salesforce, Inc. in Mexico City seeks a Software Engineer Junior (AMTS) to provide L2/L3 production support for MDM applications, triage issues, and help improve data pipelines, APIs, and workflows.

Ideal candidates have 4+ years in software or data engineering, strong Java or Python, REST APIs, SQL, and experience with cloud platforms and AI-assisted coding tools to accelerate development and debugging.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or related 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.

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.

Skills

Java

Python

RESTful API

SQL

CI/CD

Git

Cloud computing

Apache Airflow

Debugging

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Jira

Apache Airflow

Kafka

MuleSoft

Job description

Salesforce, Inc. in Mexico City seeks a Software Engineer Junior (AMTS) to provide L2/L3 production support for MDM applications, triage issues, and help improve data pipelines, APIs, and workflows.

Ideal candidates have 4+ years in software or data engineering, strong Java or Python, REST APIs, SQL, and experience with cloud platforms and AI-assisted coding tools to accelerate development and debugging.