QA Automation & SDET Services for Fast, Safe Releases

• You want to launch or relaunch automation without creating a heavy suite that nobody wants to maintain.
• You want to keep control of test data and coverage targets while staying within budget.
• You want to replace fragile checks gradually instead of trying to rebuild everything in one go.

• Playwright/Cypress/Selenium frameworks aligned with your stack, with Allure or ReportPortal for readable reports.

• API test automation and contract tests so you are not tied to a fragile UI layer.

• Mobile automation with Appium, XCUITest or Espresso, plus cross-browser and cross-device labs where needed.

• CI/CD wiring into GitHub Actions, Azure DevOps, GitLab CI or Jenkins with clear quality gates.

• Test data management using seeded datasets, masked production subsets or synthetic data.

• Optional checks for accessibility, performance and basic security in the same pipelines.

Our testers are used to .NET-centric stacks, but they are flexible by design. They use Appium, Selenium, xUnit and REST API tests, switching tools when the product or platform requires it.

• Fewer escaped defects and cleaner rollbacks when issues appear.
• Faster, safer releases with visible coverage growth per sprint.
• Quality targets agreed and tracked openly.

• Pod-based SDETs embed with dev squads and product owners, pairing on design and testability.
• Dashboards highlight flaky tests, bottlenecks and risky change sets instead of dumping raw logs.
• A golden path E2E suite plus layered API checks keep cycle time short and feedback relevant.

• Shorter MTTR, lower flake rate, and a steady rise in the automation-to-manual ratio.
• More stable velocity during peaks and releases because the suite is trusted.
• Less time spent reconciling different tools and reports; more time fixing real problems.

You can hire SDET engineers individually or as a managed pod that owns framework health, coverage strategy and day-to-day test work.

• Risk scoring by feature and dependency so we do not start in the hardest corner.
• Parallel runs, selective backfills and contract-first tests to cut down UI load.
• Coverage maps that show business importance, not just the number of tests.

• Fewer last-minute surprises and brittle selectors breaking important flows.
• Stand-ups focused on real issues instead of long discussions about test noise.

• Start with one critical flow or service and define success clearly.
• Prove the improvement in runtime and stability, then extend migration.
• Keep day-to-day delivery running while suites evolve in the background.

• Least-privilege access; secrets in Key Vault or equivalent; encryption in transit and at rest.
• Signed runners and agents; tamper-evident logs; policy-as-code for gates.

• Monitoring from tests and pipelines wired into your SIEM or SOC.
• Clear runbooks for flaky tests, incidents and scheduled reviews.
• Evidence packs that make audits straightforward for compliance teams.

• No invented certifications or vague security promises.
• Privacy and data boundaries handled in your environment wherever possible, with clear documentation of what runs where.

• Test idea generation from specifications, user stories and change diffs.
• Failure summaries across logs, traces and screenshots to speed up triage.
• Natural language draft tests that humans refine into stable code and assertions.

• Human review gates for every model-generated change.
• Seeded data and reproducible flows, no blind autonomy.
• Prompts and changes tracked in your Azure tenant, with approvals and phased rollouts.
• The same governance we use for security-sensitive work now supports QA flows and has already shown measurable savings in analyst time and flake triage.