Production Support Engineering SMTS

Salesforce•Redwood City, CA

1d•$148,500 - $246,000

About The Position

Salesforce is seeking a Senior Member of Technical Staff (SMTS) to be the definitive technical authority for their Informatica Product Operations Portfolio, Master Data Management (MDM), and Informatica Platform Operations Architecture. This role is for a senior Individual Contributor (IC) focused on deep architectural execution, technical leadership, and intelligent engineering excellence. The SMTS will own foundational data structures and platform strategies to ensure the Salesforce ecosystem is a pristine, highly scalable, and unified single source of truth. A key aspect of this role is modernizing the ecosystem by embedding AI-driven automation into deployment pipelines and architecting predictive, AI-powered monitoring and alerting frameworks for near-zero downtime.

Requirements

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.

Responsibilities

Architect and optimize modern, automated deployment pipelines (GitHub Actions, Copado) infused with AI capabilities.
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.
Explore and implement intelligent, automated rollback mechanisms and self-healing scripts within the deployment environment to minimize pipeline friction.
Design and implement comprehensive observability frameworks using tools such as Kibana, Prometheus, Grafana, Cloud Native Monitoring tools.
Implement AI/ML-driven anomaly detection to identify irregular data spikes, API failures, or system performance degradation before they impact end users.
Build smart alerting routing and automated runbooks that leverage machine learning to categorize, prioritize, and initiate self-remediation steps for common platform anomalies.
Own the technical health and scalability of the Informatica’s platform, to forecast adoption growth against provisioned capacities with optimized finops methodology.