Software Engineer (Principal Member of Technical Staff)

Salesforce; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Care

Life Insurance

Retirement Savings

Employee Assistance Programs

13 paid days off

Job summary

Salesforce is seeking an experienced software engineer to join the Event Monitoring team in San Francisco, driving a major initiative that defines architecture, data models, and customer experience. You will work with PMs on cross-functional architectural decisions, mentor peers, and shape the team’s long-term direction.

Expect hands-on leadership across multi-tenant systems and observability stacks. You will leverage AI tooling for code generation, testing, and refactoring, while maintaining

Qualifications

• 10+ years of software engineering experience.
• 3+ years in a technical leadership or principal role.
• Hands-on with observability, telemetry pipelines, or incident response systems.
• Experience with OpenTelemetry ecosystem and PromQL.
• Strong Java API design and full-stack capabilities.

Responsibilities

• Lead technical design and end-to-end delivery of features from architecture to production.
• Mentor engineers and shape engineering culture as the team scales.
• Collaborate with Product Management on cross-functional architectural decisions.
• Drive data ingestion, query performance, and cost boundaries with partners.
• Define integration of Unified Observability with existing telemetry sources.
• Model AI-assisted engineering practices and code-review discipline.

Skills

Java

API design

Data modeling

Service-layer architecture

React

Lightning Web Components

Observability

OpenTelemetry

Kafka

Grafana

PromQL

Claude Code / AI tooling

Mentorship

Cross-team leadership

Tools

OpenTelemetry

Kafka

Grafana

HBase

ClickHouse

Job description

• You’ll be joining an established team as it takes on a major new initiative, with room to shape the architecture, the data model, the customer experience, and how the team evolves
• We’re looking for engineers who are genuinely curious about AI as a craft tool, and want to push the boundary on what an AI-augmented team can ship
• Work closely with Product Management to align and steer cross-functional architectural decisions
• Lead the technical design and end-to-end delivery of features, from architecture to production operation
• Drive cross-team alignment with partners on data ingestion, query performance, and cost boundaries
• Define how Unified Observability cleanly integrates with existing products and telemetry sources: instrumentation standards, data onboarding, access control, and a graceful path from per-team tooling to a shared platform
• Use AI tools throughout your day, for code generation, refactoring, test authoring, code review, and investigation. We expect AI use to be part of how the work gets done, not an afterthought, and we look to senior engineers to model what great AI-assisted engineering looks like
• Raise the engineering bar across the team through technical mentorship, design reviews, and clear written communication
• Help shape team practices, hiring, and engineering culture as the team scales
• You’ll join the established Event Monitoring team as it takes on a major new initiative, with a clear product vision, strong PM and design partnership, and meaningful technical headroom to set the long-term direction
• The work is visible, the customer impact is direct, and as the solution grows into a foundational platform across the organization, so does the leadership scope of this role
• We’re committed to building an inclusive team where engineers from a range of backgrounds and experiences can do their best work - if this sounds like the right next chapter, we’d love to hear from you

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

• 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