Description
The Warden AIOps Product team is seeking a highly motivated Member of Technical Staff (MTS) to help build, operate, and scale an intelligent AIOps product that supports Tier-0 and Tier-1 services across Salesforce. This role focuses on developing product capabilities that enable observability, automated detection, root cause analysis, and remediation for large scale distributed systems.
As a successful candidate, you will work closely with product engineering, Service Owners, data, and AI/ML teams to analyze telemetry signals, implement scalable services, and continuously improve system reliability and operational efficiency. This position requires strong engineering fundamentals, attention to detail, and the ability to work effectively in a highly collaborative, fast paced environment.
Key Responsibilities
Develop and maintain core Warden AIOps product services, including data ingestion, signal processing, detection pipelines, and reliability workflows. This includes working with logs, metrics, traces, and events at scale, ensuring high performance and resilience.
Analyze operational data and system behaviors to identify anomalies, recurring failure patterns, and performance regressions across distributed services. Use structured analysis and tooling to ensure accurate and reliable insights.
Contribute to detection and causation capabilities by implementing rule based and AI assisted mechanisms that improve incident detection accuracy and reduce mean time to detection (MTTD) and resolution (MTTR).
Identify and address reliability, scalability, and performance issues in product components. Proactively document technical findings, bugs, and improvement areas to maintain a high bar for production readiness.
Collaborate with cross-functional teams including Service Owners, infrastructure, security, and partner product teams to integrate Warden AIOps with upstream and downstream systems.
Participate in design reviews, code reviews, and operational readiness activities, ensuring adherence to Salesforce engineering standards, security requirements, and compliance expectations.
Produce clear technical documentation and recommendations that translate complex system behavior into actionable guidance for service owners and product stakeholders.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Strong proficiency in one or more backend programming languages (e.g., Java, Go, Python), with experience building and operating distributed systems.
Good to have, experience working with observability data such as metrics, logs, traces, or events, and familiarity with monitoring or reliability concepts.
Understanding of cloud native architectures, microservices, and service-to-service communication patterns.
Strong analytical and problem solving skills, with the ability to reason about complex system behaviors and failure modes.
Effective written and verbal communication skills, with the ability to collaborate across teams and clearly document technical work.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.