{"id":2561081,"url":"https://alion.io/job/salesforce-software-engineer-junior-mdm","title":"Software Engineer Junior - MDM","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":422,"ghost_share":0.012,"stale_share":0.59,"repost_share":0.057,"time_to_fill_p50_days":22,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Jira","optional":false},{"name":"Master Data Management","optional":false},{"name":"MuleSoft","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"Windsurf","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-10-14T20:39:45Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T06:12:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nJob Category\nSoftware EngineeringJob Details\nAbout Salesforce\nSalesforce 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.\nReady 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.\nSoftware Engineer Junior (AMTS)\nDET Team\nMexico City \nResponsibilities\nProvide active L2/L3 production support for MDM applications, monitoring system health, triaging technical issues, and ensuring high platform reliability and uptime.\nInvestigate, debug, and resolve production bugs and data pipeline failures, performing root-cause analysis on complex operational issues.\nDesign, code, test, and deploy feature enhancements, system optimization patches, and operational automation across existing MDM pipelines, APIs, and workflows.\nLearn, 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.\nContribute to the ongoing maintenance and enhancement of end-to-end data integrations, API orchestration services, Airflow workflows, and batch/real-time data processing pipelines.\nSupport data quality validation, data stewardship workflows, and third-party data enrichment integrations (e.g., Dun & Bradstreet, Moody's, Leadspace).\nWrite clean, maintainable Java/Python code, REST APIs, SQL scripts, and automated unit tests following team engineering standards.\nParticipate actively in operational readiness reviews, code reviews, release deployments, and sprint planning under the guidance of senior engineers.\nMaintain clear technical documentation, runbooks, and playbooks to streamline support practices and troubleshooting procedures across the team.\nDemonstrate strong ownership, proactive communication, and initiative in managing both planned enhancement tasks and high-priority support issues across globally distributed teams.\nRequired Skills / Experience\nMinimum Qualification s\nBachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field (or equivalent practical experience).\n4+ years of relevant software engineering, data engineering, enterprise application support, or maintenance experience.\nStrong problem-solving, debugging, and analytical skills with a proven track record of troubleshooting complex production data systems and application issues.\nPractical experience with object-oriented programming (preferably Java or Python) and RESTful API development/integration.\nSolid experience with database management, SQL scripting, data modeling, and diagnosing complex data anomalies.\nExperience leveraging modern AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate development, code debugging, and test automation.\nSolid understanding of core software engineering practices, version control (Git), CI/CD pipelines, and automated testing frameworks.\nHands-on exposure to enterprise integration patterns, cloud platforms (AWS/GCP/Azure), ETL/ELT workflows, or streaming technologies (Kafka).\nStrong written and verbal communication skills with a focus on ownership and operational efficiency.\nPreferred Qualification s\nHands-on experience with Master Data Management (MDM) platforms (e.g., Informatica SaaS MDM, Reltio, or similar toolsets).\nExperience supporting enterprise integration systems such as MuleSoft, Apache Airflow, or Kafka-based data pipelines.\nPrior experience in L2/L3 production support, incident management, on-call rotations, and ticketing tools (e.g., Jira, ServiceNow).\nExperience writing advanced SQL scripts for data cleanup, validation, and production bug diagnosis.\nExposure to Generative AI concepts, LLMs, prompt engineering, or agentic workflows for software delivery.\nSalesforce ecosystem knowledge, Data Cloud, or CRM platform experience.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando 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.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease 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.\nPosting Statement\nSalesforce 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. 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