Job Title

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. We’re looking for a hands‑on QA Manager who owns end‑to‑end product quality outcomes, brings an AI‑first testing mindset, and can scale rigorous, automation‑heavy quality practices for a global platform.What you’ll do- Own the quality bar for a multi‑tenant, configuration‑rich B2B SaaS platform; define the test strategy and ship-readiness criteria for every release. - Lead and develop a team of 7–8 QA engineers (hiring, coaching, 1:1s, growth plans, performance reviews) while remaining hands‑on with complex investigations. - Scale automation across UI, API, services, data pipelines, and integrations; drive shift‑left 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 AI‑assisted 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 data‑residency requirements; champion privacy‑by‑design and secure test‑data 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, flaky‑test reduction, and release quality metrics; automate go/no‑go signals. - Cross‑functional leadership: partner with Product, Engineering, Security, Compliance, and Customer Success; coordinate enterprise UAT and post‑release validations.What you’ll bring- 10+ years in software testing for global B2B SaaS, including 3–5+ years leading QA teams; HR Tech/VMS, HCM, ATS, or fintech/payroll domain is a strong plus. - Proven track record testing highly configurable, multi‑tenant platforms with multi‑currency and multilingual support. - Deep test automation expertise (framework design, code reviews, quality of asserts, maintainability). Hands‑on with at least two of: Playwright, Cypress, Selenium/WebDriver, TestNG/JUnit, RestAssured, Pact (contract testing). - AI‑first 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, cross‑border 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 you’ll 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 config‑driven regressions. - Time‑to‑detect/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, consumer‑driven contracts, and test data virtualization. - Prior success in maturing QA from manual‑heavy to automation‑first with AI‑assisted authoring.How we work- Onsite from our Hyderabad office; collaboration with global stakeholders across time zones. - High‑trust, high‑accountability culture focused on outcomes and continuous improvement.Interested? Send your resume and a short note on an AI‑driven test strategy you’ve implemented, including tools used and impact (metrics).