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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Production Support Engineering SMTS - **Company:** Salesforce Inc. - **Location:** Redwood City, CA, United States - **Experience:** Expert - **Salary:** $148,500.0 - $223,900.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Static Program Analysis, Code Review, Continuous Integration, Data Structures, DevOps, Github, Monitoring of Systems, Machine Learning, Copado, Prometheus, Salesforce.Com, Delivery Pipeline, Grafana, Git Flow, Deployment Automation, Data Management, Kibana - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e1e15107422c448c ## About the Role * 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 ## Description We are looking for a Senior Member of Technical Staff (SMTS) to serve as the definitive technical authority for our Informatica Product Operations Portfolio, Master Data Management (MDM), and Informatica Platform Operations Architecture. As a senior Individual Contributor (IC), you will focus entirely on deep architectural execution, technical leadership, and intelligent engineering excellence. You will own the foundational data structures and platform strategies that power our enterprise - ensuring our Salesforce ecosystem operates as a pristine, highly scalable, and unified single source of truth. A core focus of this role 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 (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 AI-Powered Monitoring, Observability & Alerting * 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 Platform Engineering & High-Scale Systems * Own the technical health and scalability of the Informatica's platform, to forecast adoption growth against provisioned capacities with optimized finops methodology. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Empowering Thousands of Developers: Our Journey to an Internal Developer Platform](https://www.wearedevelopers.com/videos/1519-empowering-thousands-of-developers-our-journey-to-an-internal-developer-platform) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)