Level

Salesforce

Software Engineer Junior - Master Data Management (MDM)

Salesforce is hiring a Software Engineer Junior - Master Data Management (MDM) in Mexico City, Mexico. Level rates it ; you can apply on Level.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
  • The posting mentions Claude, Copilot and Cursor among its tools and skills.
  • Level classes it as a junior role.
  • Salesforce has 1,500+ other open roles on Level.
  • This posting went up within the past week.

AI in this role

claudecopilotcursorwindsurf
prompt-engineeringai-agents

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 Qualifications

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 Qualifications

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 Kafka-based data pipelines.

Prior experience in L2/L3 production support, incident management, on-call rotations, and ticketing tools (e.g., Jira, ServiceNow).

Experience writing advanced SQL scripts for data cleanup, validation, and production bug diagnosis.

Exposure to Generative AI concepts, LLMs, prompt engineering, or agentic workflows for software delivery.

Salesforce ecosystem knowledge, Data Cloud, or CRM platform experience.


Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

How we rate this

Software Engineer Junior - Master Data Management (MDM) at Salesforce rates 51 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI agentsClaudeCopilotCursorWindsurf

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of Claude that you've run into, and how did you work around them?
  4. What's a project where you used Copilot hands-on?
  5. Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, AI agents, Claude, Copilot, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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