Software Engineering Levels

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Software Engineering

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Data 360 (Data Cloud) Q3 team builds the strategic quality infrastructure and end‑to‑end business validation platform for Salesforce's most critical customer data products. We empower feature teams to shift left by providing a composable, developer‑friendly framework to simulate real customer data flows – from ingestion and identity resolution to segmentation, activation, analytics, governance, and AI.

We also represent real customer journeys across industries through reusable E2E building blocks, ensuring every Data Cloud feature is validated the way actual customers use it.

Lead & Architect the Unified Test Framework (Key Responsibility)

• Drive the architecture, design, and evolution of the next‑generation Unified Q3 Test Framework, the core platform used across all Data Cloud teams to model, validate, and automate cross‑cloud business flows.

• Define framework standards (APIs, patterns, DSLs, reusable modules) to ensure consistency, reliability, and ease of authoring for hundreds of engineers.

• Establish a long‑term vision for a scalable, self‑service, reusable, and composable automation platform used across orgs, industries, and customer scenarios.

Design & Build

• Build extensible, reusable building blocks that model real business behaviors across ingestion, identity resolution, segmentation, activation, analytics, governance, and personalization.

• Deliver framework primitives and abstractions that drastically reduce test authoring time and improve reliability.

Enable Shift‑Left Quality

• Partner with Q2 feature teams to onboard them to the framework, guide design patterns, and enable early environment setup and modular test case development.

Own E2E Business Scenarios

• Work closely with Product, Field, and Solution Engineers to convert real customer use cases into automated validations running continuously in CI/CD and production‑like tenants.

Framework Engineering

• Contribute to and lead development in the Q3 SDK, CLIs, codegen, workspace tooling, data generators, catalog systems, and execution pipelines for local, workspace, and FIT tenants.

AI‑Augmented Debugging & CI Insights

• Use internal AI systems to automatically identify flaky tests, map failures to owning teams, and surface insights to improve reliability and signal‑to‑noise.

Field & Customer Partnership

• Participate in customer calls to understand complex, industry‑specific scenarios and ensure the Q3 platform reflects these business patterns accurately.

• 10+ years of software engineering experience, ideally in distributed systems, internal developer platforms, or test automation frameworks.
• Strong systems design skills with deep understanding of shift‑left testing, CI pipelines, code quality gates, and composable architectures.
• Hands‑on experience with cloud infrastructure (AWS/S3, credential management, multi‑tenant architectures).
• Excellent cross‑functional collaborator – able to translate between business flows and technical implementations.
• Strong documentation and communication skills.
• A related technical degree required.
• Bonus:
  Experience with Salesforce Data Cloud, marketing activation, identity resolution, or data engineering.

You'll be a key technical leader driving the architecture of the unified framework powering Data Cloud's quality strategy across the company. Your…