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).