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. 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).