Onshore QA Staff Augmentation: Playwright

QA engineers

Embedded at the client's Navi Mumbai office

1–2

Interview rounds from shortlist to onboarding

[N]

Automation suites owned across web and mobile

Overview

The client is an enterprise communication platform: encrypted messaging, HD voice and video, screen sharing, secure file storage, governed external-party access, and an administrative control plane for policies, retention, audit and role-based access. The platform is deployed inside each customer’s own environment rather than on a vendor’s cloud, which is what makes it viable for banks, hospitals, public institutions and listed companies where data sovereignty is non-negotiable. It ships as iOS and Android apps alongside desktop and web clients, all built and released by an engineering team at their Navi Mumbai office.

The client needed to strengthen QA capacity quickly, without moving the work offshore. Testvox provided an onshore staff augmentation team working from the client’s Ghansoli, Navi Mumbai office: Playwright automation engineers with around five years of experience and hands-on Appium mobile automation, alongside functional test engineers. Engineers are placed on rolling three-to-six-month contracts, and the team took ownership of the client’s existing automation framework and modernised it with AI-augmented test authoring, while the functional testers covered release and exploratory testing inside the client’s own sprint cadence.

Challenges Faced by Client

  • An existing automation framework with no dedicated owner. The client already had a framework in place, but maintaining it competed with feature delivery for the same engineers' time. Suites like this tend to drift: scripts age against a changing UI, failures get tolerated rather than fixed, and confidence in the run quietly erodes. What was needed was not more test scripts, but someone accountable for the framework itself.
  • A product that is genuinely hard to automate. Real-time communication breaks the assumptions most web automation is built on. Calls, presence, notifications, media handling and permissions involve two or more participants, multiple devices and timing that isn't deterministic. Automating a messaging and calling platform demands patterns that a standard CRUD-app test suite never needs.
  • A rare combination of skills in one engineer. Playwright for web, Appium for iOS and Android, and enough domain understanding of telecom and real-time communication to know what "correct" looks like in a call flow. Hiring that profile directly takes months, and a growing product team cannot pause while roles stay open.
  • Security and deployment realities that rule out remote working. A platform built on on-premise deployment, controlled environments and data sovereignty cannot hand builds and test environments to a distributed offshore team. The work had to happen on site.
  • Culture fit, because these engineers sit inside the team. Augmented engineers attend the same stand-ups, use the same tooling and take direction from the same leads as permanent staff. Technical skill alone isn't enough when someone becomes part of a team's daily working rhythm.

Testvox Solution

  1. An Onshore, On-Site Delivery Model
  2. Testvox engineers work full-time from the client's Ghansoli office, in the client's sprints, on the client's tooling, reporting to the client's engineering and QA leads. The client directs the work exactly as they would with their own team. Engagements run as three-to-six-month contracts that roll forward as needs continue, and Testvox carries the employment side — sourcing, contracting, payroll, ramp-up and replacement cover — so the client gets capacity without the hiring cycle or the overhead. Being on site also means no exported builds and no remote access into controlled environments, which matters for a product sold on data sovereignty.

  3. Hiring for the Actual Profile, With Client Approval on Every Hire
  4. Testvox sourced against the real requirement rather than a generic QA job description: around five years of experience, Playwright automation capability, hands-on Appium experience across iOS and Android, and background in telecom or real-time communication products. The client interviews and approves every candidate, and the process is kept deliberately short — one or two rounds — so an approved engineer can start almost immediately rather than weeks later. Culture fit is an explicit selection criterion alongside technical assessment, because an engineer who integrates into the team is worth more than one who is marginally stronger on paper.

  5. Taking Ownership of the Existing Framework, Not Replacing It
  6. The team began by taking ownership of what already existed rather than proposing a rewrite. That meant auditing the current suites, separating genuine product failures from flaky tests, stabilising the unreliable ones, and establishing clear conventions for structure, locators, fixtures and test data. Ownership was defined in practical terms: the automation backlog, the failure triage, the CI runs and the ongoing maintenance all sit with the Testvox team, so framework health stops competing with feature delivery for attention.

  7. Modernising With AI-Augmented Playwright Authoring
  8. With the framework stable, the team modernised how tests are written and maintained. AI-assisted authoring is used to draft and refactor Playwright specs from user stories and existing test cases, to suggest fixes when selectors break against UI changes, and to extend coverage faster than hand-writing every script allows. Every generated script is reviewed and validated by the engineer who owns it — AI accelerates the writing, it does not decide what "passed" means. Alongside this, the suite was brought up to modern Playwright practice: structured page objects and fixtures, parallel execution, CI integration, and reporting the client's team can read without help.

  9. Web and Mobile Coverage in One Team
  10. Because the same engineers work across Playwright and Appium, web and mobile coverage stays aligned instead of splitting into two disconnected suites with different conventions and different ideas of what a regression pass means. Functional testers work beside the automation engineers on release, exploratory and regression testing, and the loop runs both ways: manual findings become candidates for automation, and automation failures get investigated by people who know the product hands-on.

Result

The Framework Has an Owner Again

Automation is no longer maintained in the gaps between feature work. The Testvox team holds the framework, triages every failure, and keeps the suite trustworthy — [add the concrete proof point: number of scripts stabilised, suite runtime before and after, or reduction in flaky failures].

Capacity in Weeks, Not Hiring Cycles

Requirements are filled on an immediate basis: a shortlist against the Playwright, Appium and domain profile, one or two interview rounds, then an engineer on site — against a direct-hire timeline of [N] months for the same skills. Testvox absorbs the recruitment effort and provides replacement cover. [Add: number of engineers placed, time from requirement to start, and how the team has scaled since.]

Faster, Broader Regression Across Web and Mobile

AI-augmented authoring increased the rate at which new coverage is added, and the regression cycle now runs across web, iOS and Android under one set of conventions. [Add: regression cycle time before and after, automated coverage percentage, or scripts added per sprint.]

A Team That Works Like Their Team

Because the engineers sit in the client's office five days a week and work inside their sprints, the client directs QA the same way they direct engineering — no coordination overhead, no time-zone lag, no handover documents. [Add: engagement duration to date, retention, or any scope that has expanded since the start.]

Conclusion

Staff augmentation is often treated as a way to add hands cheaply. This engagement worked because it was the opposite: a small number of engineers with a specific, hard-to-hire profile, placed inside the client's own office and made accountable for a system the client already had. Testvox took ownership of the client's automation framework, modernised it with AI-augmented Playwright authoring, extended coverage to iOS and Android through Appium, and paired it with functional testers who work inside the same sprints. The client kept full direction of the work, its builds and environments stayed within its own walls, and its permanent engineers got back the time that framework maintenance had been taking.

Related Resources