Senior Quality Test Engineer II

Senior Quality Engineer-II - Salesforce.
Do you enjoy driving the quality strategy for complex software systems?
About our Team:-
Digital Business Solutions (DBS) delivers innovation and solves customer and business problems by leveraging the power of technology, data, and — increasingly — AI. Within DBS, the AI Innovation team focuses specifically on identifying and delivering agentic and generative AI capabilities across our Salesforce ecosystem and adjacent platforms. We partner with sales teams and Elsevier colleagues to drive intelligent automation, frictionless personalized experiences, and streamlined processes that support cost optimization and growth. We provide the expertise to understand business challenges and translate them into practical, responsible AI-enabled solutions.
About the Role:-
This position performs complex quality engineering and test design assignments for AI-driven and agentic solutions built on our Salesforce platform (2,000+ users) and adjacent integrated systems (Oracle Sales Cloud Incentive Comp, Gainsight, Monday.com, and others). This role owns the quality strategy for both traditional deterministic Salesforce functionality (Apex, LWC, Flow, integrations) and non-deterministic AI/agentic capabilities (Agentforce agents, prompt-driven automations, generative AI features), where "correctness" must be evaluated differently than in conventional software. This position mentors more-junior QA engineers, partners closely with developers and business analysts to shape testable requirements, and represents quality and responsible-AI considerations throughout the SDLC — from design through production monitoring.
Responsibilities:-
5+ years of Software Quality Engineering / Test Engineering experience, with 2+ years testing enterprise Salesforce implementations
BS Engineering/Computer Science or equivalent experience required
Experience testing AI/ML-driven, LLM-powered, or generative AI features strongly preferred
Salesforce certifications (Platform App Builder, and/or AI Associate/AI Specialist) a plus
Experience in regulated, audited, or compliance-driven release environments a plus
Interface with developers, business analysts, and product owners to finalize testable requirements and acceptance criteria for both deterministic and AI-driven features
Write and review detailed test plans, test cases, and evaluation frameworks for complex system components, including AI agents, automations, and generative AI features
Design and maintain evaluation suites (golden datasets, regression benchmarks, output-quality rubrics) for agentic and generative AI capabilities where traditional pass/fail testing doesn't apply
Execute and automate functional, regression, integration, and performance testing across the Salesforce platform and adjacent systems (Oracle Incentive Comp, Gainsight, Monday.com)
Identify, document, and drive resolution of complex defects, including subtle AI behavior issues (hallucination, drift, bias, inconsistent outputs)
Partner with developers to shift quality left — reviewing designs, prompts, and agent configurations before build, not just after
Establish and evangelize quality and responsible-AI standards across the squad, including guardrails for reviewing and validating AI-generated code and AI-generated outputs before production release
Support release management, packaging, and compliance/audit requirements with appropriate test evidence and traceability
Monitor production AI features for quality drift and performance degradation, and define escalation paths when thresholds are breached
Train and mentor less-senior QA engineers on Salesforce testing methodologies, automation frameworks, and AI/agentic testing practices
Keep abreast of new Salesforce platform releases, Agent force/AI feature developments, and emerging tools and techniques in AI quality assurance
All other duties as assigned
Requirements:-
Advanced knowledge of software quality methodologies (Agile/Scrum, risk-based testing, shift-left testing) as applied to Salesforce release cycles and org governance
Strong proficiency in Salesforce test automation: Apex unit/integration testing, LWC Jest testing, UI automation frameworks (e.g., Provar, Selenium, Playwright) for Salesforce
Strong understanding of Salesforce data model, sharing/security model, and how data quality and permission structures affect both functional and AI feature testing
Working knowledge of SOQL/SOSL for test data validation and querying, and of integration testing across REST/SOAP APIs, Platform Events, and middleware (e.g., MuleSoft)
Hands-on experience testing AI-driven and agentic features, including:
Designing test approaches for non-deterministic outputs: evaluation rubrics, golden datasets, regression suites for prompts/agent behavior, and acceptable-variance thresholds
Testing Agent force agents, Copilot/Einstein-style features, and prompt-builder workflows for accuracy, grounding, hallucination risk, and adherence to business rules
Evaluating AI outputs for bias, data privacy, and responsible-AI concerns, and partnering with stakeholders to define acceptance criteria for "good enough" AI behavior
Using AI-assisted testing tools (e.g., AI-driven test case generation, self-healing test automation, AI code/PR review assistants) to increase test coverage and efficiency
Monitoring AI feature performance and drift in production, and defining feedback loops for continuous evaluation
Strong knowledge of test-driven and behavior-driven development practices, and ability to shape acceptance criteria before code is written
Ability to write and review detailed test plans, test cases, and evaluation frameworks for complex system components, including AI agent/automation designs
Ability to triage and drive resolution of complex defects across Apex, LWC, Flow, integrations, and AI/agentic behavior
Strong research skills, including staying current on Salesforce release notes, Agentforce/AI feature rollouts, and emerging AI quality-assurance practices
Knowledge of the broader sales technology tool stack (CPQ/Incentive Comp platforms, Gainsight, Monday.com) and how quality risk surfaces across integrated systems
Ability to interface competently with developers, business analysts, product owners, and platform admins to finalize testable requirements
Good oral and written communication skills, including the ability to explain AI evaluation results, confidence levels, and residual risk to non-technical stakeholders.
Work in a way that works for you
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidized food provided (applies to India - Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the offi