1 day ago
Chennai, IndiaSenior
Responsibilities
- Define and own quality strategy for deterministic Salesforce functionality and non-deterministic AI and agentic capabilities.
- Create test plans, test cases, evaluation frameworks, golden datasets, regression benchmarks, and output-quality rubrics.
- Execute and automate functional, regression, integration, and performance testing across Salesforce and integrated enterprise systems.
- Identify, document, triage, and drive resolution of defects involving Apex, LWC, Flow, integrations, and AI behavior.
- Partner with developers and business stakeholders to establish testable requirements, acceptance criteria, AI guardrails, and responsible-AI standards.
- Monitor production AI features for quality drift and performance degradation and define escalation paths.
- Support release management, packaging, compliance, audit evidence, and traceability.
- Train and mentor less-senior QA engineers in Salesforce automation and AI/agentic testing practices.
Requirements
- At least 5 years of software quality engineering or test engineering experience, including at least 2 years testing enterprise Salesforce implementations.
- BS in Engineering or Computer Science, or equivalent experience.
- Advanced knowledge of software quality methodologies and Salesforce release-cycle governance.
- Strong Salesforce test automation experience using Apex unit and integration testing, LWC Jest testing, and UI automation frameworks such as Provar, Selenium, or Playwright.
- Strong understanding of Salesforce data, sharing, security, permissions, and their effects on functional and AI testing.
- Working knowledge of SOQL, SOSL, REST and SOAP API integration testing, Platform Events, and middleware such as MuleSoft.
- Hands-on experience testing AI-driven and agentic features, including evaluation rubrics, golden datasets, prompt and agent regression suites, and acceptable-variance thresholds.
- Experience testing Agentforce, Copilot/Einstein-style features, and Prompt Builder workflows for accuracy, grounding, hallucination risk, and business-rule adherence.
- Ability to evaluate AI outputs for bias, privacy, responsible-AI concerns, and residual risk.
- Knowledge of test-driven development, behavior-driven development, acceptance-criteria design, defect triage, and AI-assisted testing tools.
- Experience with Salesforce releases, Agentforce and AI feature rollouts, and broader sales technology such as CPQ/Incentive Comp platforms, Gainsight, and Monday.com.
- Strong communication, research, collaboration, and mentoring skills.
- Experience with AI/ML, LLM-powered, or generative AI features and regulated or audited release environments is preferred; Salesforce certifications are a plus.
Benefits
- Flexible working hours.
- Work/life balance, wellbeing initiatives, family leave, and tuition reimbursement.
- Group health insurance covering the employee and family.
- Group life insurance and accident insurance.
- Generous long-service awards.
- New Baby gift.
- Subsidized food in Chennai, India.
- Casual, sick, privilege, compassionate, special sick, gazetted public holiday, and maternity/paternity leave.
- Free transport to and from the office in Chennai, India.
Tech Stack
JestSeleniumSOAP
Categories
About Elsevier
Elsevier builds scientific and medical information products and analytics platforms for researchers, clinicians, and educators. Its portfolio includes journals and databases such as The Lancet, Cell, ScienceDirect, Scopus, and ClinicalKey, sold primarily via institutional subscriptions, licensing, and open-access publishing fees. Founded in 1880 and headquartered in Amsterdam, Elsevier operates as a business of RELX, serving universities, hospitals, corporations, and government research agencies worldwide.