Engineering Cross-Platform Mobile Accessibility SDKs

Technical leadership on production accessibility SDKs for Android and iOS, combining cross-platform architecture, automated testing, accessibility standards, and AI-assisted capabilities.

2023–present · Grid Dynamics. Published . Updated .

My role

Team Lead → Technical Lead. Technical direction, architecture, SDK design, delivery, engineering quality, and mentoring across Android and iOS accessibility SDK work. I remain hands-on technically rather than treating technical leadership as a purely managerial role.

Because this is enterprise work, I can’t disclose customer identities, project-specific implementation details, proprietary source code, internal architecture, or confidential metrics.

Overview

Since 2023, I’ve worked on building and evolving production mobile accessibility SDKs for large-scale accessibility testing and engineering workflows across Android and iOS.

Because the SDK is used in enterprise mobile accessibility workflows, the work can ultimately affect applications used at very large scale, including apps with millions of users worldwide. I can’t name the customers or products involved, but there is a good chance you have used software built by companies whose engineering teams use accessibility tooling like the systems I help build.

I joined the work as a Team Lead and later moved into a Technical Lead role, with broader responsibility for technical direction, architecture, SDK design, delivery, engineering quality, and mentoring.

The work sits at the intersection of mobile platform internals, accessibility, automated testing, cross-platform SDK design, and applied AI.

My work includes:

  • defining and evolving cross-platform SDK architecture
  • designing and delivering accessibility-analysis capabilities
  • working through Android and iOS platform differences
  • contributing to AI-assisted accessibility tools and workflows
  • integrating SDK functionality with automated mobile testing
  • reviewing architecture and implementation decisions
  • troubleshooting complex technical and accessibility issues
  • mentoring engineers and conducting code reviews
  • collaborating with product and technical stakeholders on requirements and delivery

The engineering problem

Accessibility testing at scale is very different from manually checking a few screens.

Production tooling has to work repeatedly across different application states, platform versions, test environments, UI frameworks, and engineering workflows.

Android and iOS also expose accessibility information differently, so a cross-platform SDK needs to provide a consistent developer experience without pretending the underlying platforms are identical.

At a high level:

  1. Application under test
  2. Platform-specific accessibility integration
  3. Accessibility analysis
  4. Structured findings
  5. Testing and automation integration
  6. Developer-facing results

The important architectural principle is to share higher-level concepts and APIs while keeping platform-specific behavior where it belongs.

Accessibility and test automation

The goal is to make accessibility part of normal software development and testing rather than a separate late-stage audit.

My work has involved mobile testing ecosystems including:

  • Espresso
  • XCUITest
  • Appium
  • WebdriverIO
  • and more

A useful SDK needs to fit into CI, automated tests, and local developer workflows while producing findings that engineers can understand and act on.

Applied AI

AI-assisted capabilities are increasingly part of this work.

I’ve contributed to tools and features that use AI to improve accessibility analysis, automate parts of testing workflows, and help engineers interpret or investigate findings more efficiently.

I treat AI as an engineering assistant, not as a replacement for accessibility standards, platform behavior, tests, or human judgment.

That distinction matters because generated output can be useful and convincing while still being wrong.

Technology

My hands-on work and technical leadership have included:

  • Kotlin / Java - Android and SDK development
  • Swift - iOS integration
  • Rust - systems and cross-platform components
  • Python - tooling, automation, and AI-related work
  • JavaScript / TypeScript - testing and integration tooling
  • Espresso, XCUI, Appium, WebdriverIO - mobile test automation

The challenge is not any single technology, but making components across different platforms and runtimes behave as one coherent product.

Technical leadership

A large part of my role is connecting architecture with execution:

  1. System architecture
  2. SDK / API design
  3. Complex SDK-specific research
  4. Enterprise integration and technical consultation
  5. Product requirements
  6. Platform implementation
  7. Testing and validation
  8. Production delivery

That means making architecture decisions, investigating difficult technical issues, conducting complex SDK-specific research where established solutions were limited, reviewing implementations, mentoring engineers, and working directly with enterprise engineering teams on complex integration and SDK-specific technical challenges.

Some of the most interesting work involved problems that did not have simple off-the-shelf answers because of SDK, platform, and accessibility-specific constraints.

Outcome

The result is a production cross-platform SDK ecosystem that enables accessibility analysis, automation, and testing across Android and iOS.

My contribution spans technical leadership, architecture, platform integration, testing infrastructure, accessibility analysis, and AI-assisted capabilities.

Most users will never see this technology directly, but it can affect the quality and accessibility of software they use every day.

The core idea is simple:

accessibility is most effective when it is automated, shifted left, and built into everyday engineering and testing workflows rather than treated as a late-stage audit.