Salesforce · San Francisco, United States
Join our established Event Monitoring team as a Principal Member of Technical Staff. You'll have the opportunity to shape the architecture, data model, and customer experience of a major new initiative. We're looking for engineers who are curious about AI and want to push the boundaries of what an AI-augmented team can achieve. You'll work closely with Product Management, lead the technical design and delivery of features, and drive cross-team alignment. Additionally, you'll help raise the engineering bar through mentorship and shape team practices and culture as the team scales.
- A track record of mentoring senior engineers and shaping engineering culture at team or org scale
- Comfort using AI assistants in your engineering workflow, with judgment about where they accelerate the work and where careful human review is still essential
- Ability to decompose product requirements into parallel engineering workstreams and drive execution across a small team
- Demonstrated experience operating distributed, multi-tenant systems at scale, with hands-on knowledge of observability and streaming systems such as OpenTelemetry, Kafka, and large-scale telemetry stores (HBase, ClickHouse, or equivalent time-series databases), and dashboarding with Grafana
- A bias toward measurable customer outcomes and a willingness to be accountable for them
- A collaborative, low-ego working style. You write clearly, ask good questions, and build consensus around the right technical direction without needing to win every debate
- Full-stack engineering ability: deep proficiency in Java (strong API design, data modeling, and service-layer architecture), plus hands-on front-end/UI development experience building modern web interfaces with frameworks such as React or Lightning Web Components (LWC)
- 10+ years of software engineering experience, with 3+ years in a technical leadership or principal-level role
- Hands-on experience with Claude Code or similar agentic coding environments
- Background in observability, monitoring, telemetry pipelines, SRE/on-call tooling, or incident response systems
- Familiarity with OpenTelemetry and OCSF standards
- Experience with the OpenTelemetry ecosystem (collectors, semantic conventions, instrumentation libraries) and query languages such as PromQL
- Familiarity with high-cardinality metrics, distributed tracing, and log aggregation at scale
- Experience building data-visualization and dashboard UIs — charts, time-series views, and interactive query experiences for large telemetry datasets
- Experience leading technical strategy across platform and product organizations, including capacity planning and cross-team dependency management