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Qa Manager (Ai‑driven Automation)
Qa Manager (Ai‑driven Automation)SimplifyVMS • Hyderabad, Republic Of India, IN
Qa Manager (Ai‑driven Automation)

Qa Manager (Ai‑driven Automation)

SimplifyVMS • Hyderabad, Republic Of India, IN
19 days ago
Job description

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).

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