Software Engineering PMTS

Salesforce•San Francisco, CA

2d•$197,300 - $344,700

About The Position

Salesforce is seeking a Principal Member of Technical Staff (PMTS) for the Unified Observability team within the Trusted Services organization. This role is crucial for building the security, resilience, and data governance capabilities that customers rely on. The Event Monitoring team is developing a unified platform for metrics, logs, and traces, providing customers with a single point for troubleshooting and understanding behavior across multiple services. This is a significant new initiative where the successful candidate will have the opportunity to shape the architecture, data model, customer experience, and team evolution. The team operates with an AI-first engineering strategy, integrating AI assistants throughout the development lifecycle for tasks such as scaffolding services, generating tests, drafting migrations, reviewing code, and debugging. Engineers are expected to leverage AI tools for design conversations, build internal automation, and develop strong judgment in using AI effectively. The role requires a curious individual eager to push the boundaries of AI-augmented teams.

Requirements

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.
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.
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).
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 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.
A bias toward measurable customer outcomes and a willingness to be accountable for them.

Nice To Haves

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.
A track record of mentoring senior engineers and shaping engineering culture at team or org scale.

Responsibilities

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.
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.