QA Manager (AI‑Driven Automation)

Please note looking for someone who can join immediately and work out of our office in Hi-Tech city.

SimplifyVMS is a next-generation Vendor Management System (VMS) and Contingent Workforce Management Platform designed for global enterprises and Managed Service Providers (MSPs). Our multi-tenant, cloud-native SaaS platform helps organizations manage contingent labor, SOW engagements, and service procurement with agility, compliance, and intelligence.

With customers across North America, EMEA, and APAC , SimplifyVMS is building a scalable, secure, and globally compliant platform that supports multi-region data storage, GDPR compliance, multi-currency transactions, and localization across multiple hierarchies and organizational levels.

SimplifyVMS powers complex, highly configurable enterprise workflows across multiple countries, currencies, and languages. Were looking for a handson QA Manager who owns endtoend product quality outcomes , brings an AIfirst testing mindset , and can scale rigorous, automationheavy quality practices for a global platform.

What youll do

• Own the quality bar for a multitenant, configurationrich B2B SaaS platform; define the test strategy and ship-readiness criteria for every release.
• Lead and develop a team of 78 QA engineers (hiring, coaching, 1:1s, growth plans, performance reviews) while remaining handson with complex investigations.
• Scale automation across UI, API, services, data pipelines, and integrations; drive shiftleft testing with developers and SDETs.
• Apply AI natively : use LLMs/AI tools to generate test cases, expected outcomes/oracles, test data, and regression summaries; build AIassisted validation flows for edge cases and configuration explosions.
• Design thousands of scenarios and combinatorial suites that challenge functionality, security, performance, and reliability across locales, currencies, time zones, and user roles.
• Performance & load testing : establish SLAs/SLOs, capacity models, soak tests, and failure budgets; partner with DevOps to run scalable, repeatable load tests in CI.
• Data privacy & compliance testing : validate features against international data laws (e.g., GDPR, DPDP Act, CCPA) and customer dataresidency requirements; champion privacybydesign and secure testdata practices.
• Configuration & rules testing : build frameworks to validate complex business rules, rate cards, workflows, and approvals across countries/clients with feature flags and tenant configs.
• CI/CD quality gates : own build health, flakytest reduction, and release quality metrics; automate go/nogo signals.
• Crossfunctional leadership : partner with Product, Engineering, Security, Compliance, and Customer Success; coordinate enterprise UAT and postrelease validations.

What youll bring

• 10+ years in software testing for global B2B SaaS , including 35+ years leading QA teams ; HR Tech/VMS, HCM, ATS, or fintech/payroll domain is a strong plus.
• Proven track record testing highly configurable, multitenant platforms with multicurrency and multilingual support.
• Deep test automation expertise (framework design, code reviews, quality of asserts, maintainability). Handson with at least two of: Playwright, Cypress, Selenium/WebDriver, TestNG/JUnit, RestAssured, Pact (contract testing).
• AIfirst mindset : practical experience using AI tools (e.g., Testim/Mabl/Functionize/TestSigma, or custom LLM workflows) to author/maintain tests, generate data, and flag anomalies.
• Strong API, integration, and data validation chops (REST/GraphQL, webhooks, message queues; SQL proficiency; test data management; schema evolution).
• Performance/Load testing at scale using JMeter, k6, Gatling, or Locust; ability to read APM metrics and bottleneck profiles.
• Familiarity with security and compliance implications in HR Tech: PII/PHI handling, RBAC/SoD, audit trails, retention, DPIAs, crossborder data transfers.
• CI/CD and DevOps collaboration (GitHub/GitLab Actions, Jenkins, Docker/K8s); cloud familiarity (AWS/Azure) and observability (e.g., CloudWatch, Datadog, Grafana).
• Excellent communication, stakeholder management, and crisp documentation skills.

What youll own (outcomes & metrics)

• Release quality KPIs (P0/P1 escape rate, change failure rate, pass rate, flaky rate).
• Coverage across critical user journeys and tenant configurations; measurable reduction in configdriven regressions .
• Timetodetect/resolve for defects (MTTD/MTTR) and defect containment prior to UAT/production.
• Performance SLAs (latency, throughput, error budgets) validated per release.

Nice to have

• Experience in contingent workforce/VMS, SOW procurement, timesheets, rate management, compliance workflows.
• Contract testing, consumerdriven contracts, and test data virtualization.
• Prior success in maturing QA from manualheavy to automationfirst with AIassisted authoring.

How we work

• Onsite from our Hyderabad office; collaboration with global stakeholders across time zones.
• Hightrust, highaccountability culture focused on outcomes and continuous improvement.

Interested? Send your resume and a short note on an AIdriven test strategy youve implemented, including tools used and impact (metrics).