Salesforce

1 week ago

Senior Product Operations Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 minutes agoStatus: Live

Job Summary

Serve as a Senior Member of Technical Staff (SMTS) and definitive technical authority for Informatica Product Operations, Master Data Management (MDM), and platform operations architecture. Architect AI-infused CI/CD and deployment pipelines with automated analysis, validation, rollback, and self-healing. Build observability with Kibana, Prometheus, and Grafana, applying AI/ML anomaly detection and smart alerting runbooks to minimize downtime and scale the platform.

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Seniority: Sr. Manager level

Key Responsibilities

•Architect and optimize modern automated deployment pipelines using GitHub Actions and Copado, enhanced with AI capabilities for static analysis and validation.
•Integrate AI tools into CI/CD to predict deployment impacts, flag limit violations, and perform automated validation before production releases.
•Explore and implement automated rollback mechanisms and self-healing scripts to minimize deployment friction.
•Design and implement observability frameworks with Kibana, Prometheus, Grafana, and Cloud Native Monitoring; apply AI/ML anomaly detection for irregular spikes and failures.
•Build smart alert routing and automated runbooks that use machine learning to categorize, prioritize, and initiate self-remediation steps.

Pay and Benefits

Salary: USD 148,500 - 223,900 annually

Perks:MedicalDentalVision401kPaid Parental

Key Requirements

•8+ years of deep technical experience in Enterprise Architecture, DevOps Engineering, or Informatica Engineering at Staff/Principal/SMTS level.
•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 and ability to communicate complex architectural tradeoffs and AI-driven telemetry insights to non-technical stakeholders.

Experience:8+ yearsEnterprise ArchitectureDevOpsInformaticaMaster Data Management (MDM)

Skills:Systems-thinkingCommunication

Tech Stack:GitHub ActionsCopadoKibanaPrometheusGrafanaCloud Native MonitoringCI/CDAI/MLMachine learning

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

1 week ago

Senior Product Operations Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 minutes agoStatus: Live

Job Summary

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Seniority: Sr. Manager level

Key Responsibilities

•Architect and optimize modern automated deployment pipelines using GitHub Actions and Copado, enhanced with AI capabilities for static analysis and validation.
•Integrate AI tools into CI/CD to predict deployment impacts, flag limit violations, and perform automated validation before production releases.
•Explore and implement automated rollback mechanisms and self-healing scripts to minimize deployment friction.
•Design and implement observability frameworks with Kibana, Prometheus, Grafana, and Cloud Native Monitoring; apply AI/ML anomaly detection for irregular spikes and failures.
•Build smart alert routing and automated runbooks that use machine learning to categorize, prioritize, and initiate self-remediation steps.

Pay and Benefits

Salary: USD 148,500 - 223,900 annually

Perks:MedicalDentalVision401kPaid Parental

Key Requirements

•8+ years of deep technical experience in Enterprise Architecture, DevOps Engineering, or Informatica Engineering at Staff/Principal/SMTS level.
•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 and ability to communicate complex architectural tradeoffs and AI-driven telemetry insights to non-technical stakeholders.

Experience:8+ yearsEnterprise ArchitectureDevOpsInformaticaMaster Data Management (MDM)

Skills:Systems-thinkingCommunication

Tech Stack:GitHub ActionsCopadoKibanaPrometheusGrafanaCloud Native MonitoringCI/CDAI/MLMachine learning

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor