QA Manager

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).