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Production Support Engineering SMTS

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: salesforce.com, inc.
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Senior Member of Technical Staff (SMTS) - Informatica Product Operations & MDM Architecture

Overview

We are seeking a Senior Member of Technical Staff (SMTS) to serve as the definitive technical authority for the Informatica Product Operations Portfolio, Master Data Management (MDM), and Informatica Platform Operations Architecture. As a senior Individual Contributor, you will focus on deep architectural execution, technical leadership, and engineering excellence. You will own foundational data structures and platform strategies to power a scalable Salesforce ecosystem as a unified single source of truth.

A core focus is modernizing our ecosystem by embedding AI-driven automation into deployment pipelines and architecting predictive, AI-powered monitoring and alerting frameworks to ensure near-zero downtime.

What You’ll Be Doing
  • AI-Driven CI/CD & Deployment Pipelines: architect and optimize modern, automated deployment pipelines (Git Hub Actions, Copado) infused with AI capabilities; integrate AI tools to automate static code analysis, predict deployment impacts, flag potential limit violations, and perform automated validation testing before code reaches production; explore and implement intelligent, automated rollback mechanisms and self-healing scripts to minimize pipeline friction.
  • AI-Powered Monitoring, Observability & Alerting: design and implement comprehensive observability frameworks using tools such as Kibana, Prometheus, Grafana, and cloud-native monitoring tools; implement AI/ML-driven anomaly detection to identify irregular data spikes, API failures, or performance degradation; build smart alerting routing and automated runbooks that leverage machine learning to categorize, prioritize, and initiate self-remediation steps for common platform anomalies.
  • Platform Engineering & High-Scale Systems: own the technical health and scalability of the Informatica platform to forecast adoption growth against provisioned capacities with optimized Fin Ops methodology.
Required Qualifications
  • 8+ years of deep technical experience in Enterprise Architecture, Dev Ops Engineering, or Informatica Engineering at Staff, Principal, or SMTS level.
  • Proven experience embedding AI/ML utilities into deployment pipelines (e.g., AI-augmented testing, automated code review) and managing complex branching strategies.
  • Strong background in enterprise monitoring and AI-driven anomaly detection tools.
  • Proven track record delivering complex technical infrastructure autonomously as an elite Individual Contributor.
  • Systems-thinking mindset with a passion for building proactive, self-healing infrastructure that scales with business growth.
  • Exceptional ability to communicate complex architectural tradeoffs and AI-driven telemetry insights to non-technical stakeholders.
Unleash Your Potential

Joining Salesforce offers opportunities for growth and impact. Our benefits and resources support work-life balance and professional development. Our AI agents accelerate impact while you contribute to delivering amazing experiences for customers.

Accommodations

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

Candidate Privacy

Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications. Humans make hiring decisions. See our Candidate Privacy Statement for information about how we use your data and your rights, including opt-out options regarding AI tools.

Posting Statement & Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We evaluate on merit and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected classifications. In the United States, compensation is determined by factors including location, job level, and experience.

Salaries, bonuses, equity, and benefits vary by role and location.

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