Production Support Engineering Smts

Salesforce Salesforce · Enterprise · Redwood City, CA

Salesforce is seeking a Senior Member of Technical Staff (SMTS) to provide technical leadership for their Informatica Product Operations Portfolio, Master Data Management (MDM), and Informatica Platform Operations Architecture. The role focuses on architectural execution and platform strategy, with a core emphasis on embedding AI-driven automation into deployment pipelines and architecting predictive, AI-powered monitoring and alerting frameworks. Responsibilities include architecting AI-infused CI/CD pipelines, integrating AI tools for code analysis and validation, implementing AI/ML-driven anomaly detection for monitoring, and optimizing platform health and scalability.

What you'd actually do

  1. Architect and optimize modern, automated deployment pipelines (GitHub Actions, Copado) infused with AI capabilities
  2. Integrate AI tools into the CI/CD pipeline to automate static code analysis, predict deployment impacts, flag potential limit violations, and perform automated validation testing before code reaches production
  3. Explore and implement intelligent, automated rollback mechanisms and self-healing scripts within the deployment environment to minimize pipeline friction
  4. Design and implement comprehensive observability frameworks using tools such as Kibana, Prometheus, Grafana, Cloud Native Monitoring tools.
  5. Implement AI/ML-driven anomaly detection to identify irregular data spikes, API failures, or system performance degradation before they impact end users

Skills

Required

  • 8+ years of deep technical experience in Enterprise Architecture, DevOps Engineering, or Informatica Engineering, operating at a 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 of 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

What the JD emphasized

  • embedding AI/ML utilities into deployment pipelines
  • AI-driven anomaly detection tools
  • AI-driven telemetry insights

Other signals

  • AI-driven automation in deployment pipelines
  • AI-powered monitoring and alerting frameworks
  • predictive, AI-powered monitoring and alerting frameworks
  • AI/ML-driven anomaly detection
  • machine learning to categorize, prioritize, and initiate self-remediation steps