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Job Category
Software EngineeringJob Details
About Salesforce
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.
About the Role
We are seeking an experienced Quality Engineering Architect to drive the design and evolution of test automation frameworks and AI-powered quality tools for Salesforce Service Cloud. This role will architect scalable, intelligent testing
solutions that leverage LLM integration and AI-driven approaches to transform how we ensure product quality across our portfolio of enterprise products.
You'll work at the intersection of AI innovation and quality engineering, designing frameworks and tools that support critical Service Cloud products including:
ITSM (IT Service Management) - Incident, Problem, Change and Release Management, Asset management, configuration management database & discovery
Agentforce Contact Center (AFCC/Thunderbird) - Omnichannel routing, agent workspace, supervisor tools
CSP (Customer Service Platform) - Core service delivery capabilities like Case management, knowledge, SLAs, entitlements
Messaging Channels - Multi-channel communication platforms like Slack, teams, SMS, WhatsApp
As an Architect on the Q3 team, you will work alongside engineering leaders and architects across Service Cloud to design robust frameworks, identify architectural gaps, anticipate corner cases, and build tools that enable teams to shift testing left and deliver high-quality releases faster.
A Day in the Life
You'll spend your time reviewing High-Level Design (HLD) documents for features across ITSM, AFCC, and Core Services - identifying testing gaps around complex scenarios like SLA calculations, omnichannel routing edge cases, and multi-tenant data isolation. You'll collaborate with architects and senior engineers to design and prototype AI-powered tools, such as an LLM-based assistant that analyzes production customer issues and automatically generates regression tests. You'll facilitate cross-team design discussions to align on shared framework patterns (like unified voice automation testing with in-house/ 3rd party tools), investigate P0 production escapes to identify automation coverage gaps, and mentor teams on test strategies for upcoming features. Your work directly translates customer adoption patterns and real-world incidents into proactive framework improvements that prevent future issues across Service Cloud products.
Key Responsibilities
Framework & Tools Architecture:
Design and architect next-generation test automation frameworks and quality tools across ITSM, AFCC, CMDB, Messaging, Voice, and CSP products
Work collaboratively with other architects to evaluate design trade-offs, identify corner cases, and solve complex technical challenges spanning multiple Service Cloud products
Drive technical decisions on framework evolution, tool standardization, and platform integrations that serve diverse product needs
Create architectural blueprints and technical roadmaps for quality infrastructure that scales across Service Cloud's product portfolio
AI & LLM Integration
Architect and implement LLM-powered testing solutions (e.g., intelligent test generation for contact center workflows, natural language test authoring for ITSM scenarios, predictive quality analytics)
Design AI-driven tools for test optimization, defect prediction, and automated root cause analysis across complex multi-product scenarios
Integrate AI assistants (Claude, Gemini, etc.) into testing workflows and developer tooling for Service Cloud engineers
Explore and prototype emerging AI technologies to enhance test coverage and efficiency across ITSM, AFCC, CMDB, and related products
Technical Leadership & Guidance
Partner with engineering teams across ITSM, Agentforce Contact Center, AITS/CMDB, and CSP to establish best practices for test automation and quality engineering
Review High-Level Design (HLD) documents and test strategies for features spanning case management, routing, agent workspace, CMDB discovery, messaging, and voice channels
Mentor and guide engineers on framework design patterns, AI tool development, and quality best practices tailored to Service Cloud product complexity
Translate customer adoption issues and production incidents into proactive testing improvements - learning from real-world ITSM, contact center, and CMDB deployment patterns
Cross-Functional Collaboration
Work with product, platform, and infrastructure teams across Service Cloud to ensure quality is built in from the start
Drive adoption of frameworks and tools across multiple Service Cloud teams supporting diverse products
Influence technical direction and standards for testing across the Service Cloud organization
Required Qualifications
18+ years of software engineering experience
5+ years architecting and designing frameworks and tools
3+ years of hands-on experience with AI-driven approaches, LLM integration, and AI-based tooling
Deep expertise in designing scalable, maintainable test frameworks for complex enterprise systems
Strong programming skills in languages such as Java, Python, JavaScript, or similar
Proven track record of driving technical decisions and influencing engineering organizations
Experience reviewing and contributing to architectural design documents (HLDs, LLDs)
Strong analytical and problem-solving skills with attention to corner cases and edge conditions
Excellent communication skills with ability to articulate complex technical concepts clearly
Preferred Qualifications
Experience with Salesforce platform (Lightning Web Components, Apex, SOQL, platform architecture)
Familiarity with CRM testing frameworks
Experience with AI/ML frameworks (like OpenAI/Anthropic APIs)
Background in building developer tooling and automation platforms
Experience in SaaS/cloud-based product development and multi-tenant architectures
Knowledge of CI/CD pipelines, test orchestration, and infrastructure as code
Experience working in agile/scrum environments at scale
Domain knowledge in ITSM, contact center operations, CMDB/asset management, or HR and customer service platforms
What You'll Achieve
Transform quality engineering by architecting intelligent, AI-powered testing solutions that set the standard across Salesforce
Drive innovation at the intersection of AI and quality engineering, working with cutting-edge LLM technologies
Amplify impact by building frameworks and tools that empower hundreds of engineers across Service Cloud's diverse product teams
Shape technical strategy by influencing architectural decisions and quality practices at scale across ITSM, AFCC, CMDB, and CSP
Work on meaningful problems that directly impact millions of Salesforce customers using Service Cloud for mission-critical operations
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Skills Required
- Strong proficiency in Java or another programming language
- Architect complex distributed systems, multi-threaded pipelines, async task management, fault-tolerant job orchestration
- Hands-on experience with cloud-native architecture (AWS/Hyperforce)
- Experience with Kubernetes and containerized services
- Deep experience building scalable microservices and REST APIs
- Strong experience with database systems and data storage technologies for large data volumes
- Experience profiling and optimizing performance at scale
- Familiarity with log search tools (Splunk) and production alerting/dashboarding
- Proven track record driving technical strategy and influencing cross-team engineering decisions
- Knowledge of software development methodologies and best practices (Agile/Scrum, TDD, CI/CD, code reviews)
- Familiarity with the Salesforce platform (Shield, Data Cloud) and Apex, LWC, SFDX
- Experience designing or integrating AI/ML inference services, NER, or ML text-classification pipelines
- Deep understanding of PII detection and data classification techniques (regex, AI-based NER)
- Familiarity with privacy and compliance regulations (GDPR, CCPA, HIPAA)
- Experience with Temporal workflows or equivalent orchestration frameworks
- Experience architecting high-volume data processing systems (chunked batch jobs, message-queue-driven pipelines)
- Understanding of web and API security practices (SSL/TLS, secure data handling)
- Familiarity with observability platforms such as Grafana and time-series databases
- Familiarity with CI/CD frameworks such as Jenkins or Bazel
Salesforce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.
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Fair & Transparent Compensation — Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
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Parental & Family Support — Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
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Wellbeing & Lifestyle Benefits — Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.
Salesforce Insights
What We Do
Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.
Why Work With Us
There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.
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