QA & Software Testing Services
We connect US companies with senior QA engineers who treat testing as an engineering discipline, not a checkbox at the end of development.
Our team brings the depth to deliver test automation, performance engineering, and quality systems that catch what matters before production does.
Trusted by 100+ Companies
Comprehensive QA & Software Testing Services
End-to-end automation frameworks engineered for maintainability, not just initial coverage. Test suites that survive your next refactor instead of getting deleted in frustration.
- Test automation frameworks built on Selenium, Cypress, Playwright, and Appium
- Page Object Model and component-driven test architecture for long-term maintainability
- Cross-browser and cross-device automation pipelines integrated into CI/CD
- Test data management strategies that handle realistic edge cases, not just happy paths
If your team writes automation that works for two sprints and then collapses under regression load, the problem is test architecture, not tooling. We engineer test suites built to last.
Performance testing built around how your system actually behaves under real production load, not synthetic benchmarks.
- Load testing infrastructure using JMeter, Gatling, k6, and Locust
- Performance baselines established before optimization work, not after
- Realistic load modeling based on actual production traffic patterns
- Bottleneck identification across application, database, and infrastructure layers
Most performance issues do not surface until you have real users hitting real production. We build the testing infrastructure that surfaces them before launch.
Security testing engineered for the regulatory and operational realities of your industry. OWASP coverage as a starting point, not a finish line.
- OWASP Top 10 vulnerability assessments and remediation guidance
- Penetration testing across application, API, and infrastructure layers
- Compliance-aligned security testing for HIPAA, SOC 2, PCI DSS, and GDPR
- Threat modeling and security review integrated into the development lifecycle
Security testing as a last-minute scan before launch finds expensive problems too late. We integrate security discipline from sprint one.
API testing that validates contracts, performance, and integration behavior across the systems your software actually depends on.
- API test automation using Postman, REST Assured, and Karate
- Contract testing for microservices boundaries using Pact and Spring Cloud Contract
- Integration testing with realistic mock services and dependency simulation
- API performance testing under concurrent load scenarios
When your API breaks downstream consumers, you find out from angry customers. We catch contract regressions before they ship.
Comprehensive mobile QA across the fragmentation, network conditions, and real-device behaviors that emulators consistently miss.
- Device cloud testing across iOS and Android version matrices
- Network condition simulation for poor connectivity, offline mode, and recovery
- Mobile performance testing including battery, memory, and startup time
- App store readiness validation aligned with Apple and Google review requirements
Mobile bugs that pass internal testing often surface on devices and networks your team never tested. Our mobile QA discipline closes that gap.
Senior manual testers who find the bugs that automated suites are not designed to catch. Exploratory testing as a deliberate engineering practice.
- Structured exploratory testing sessions with documented session notes
- Usability testing aligned with user journey analytics
- Edge case validation for complex business logic and workflow scenarios
- Accessibility testing aligned with WCAG 2.1 AA standards
Some bugs only emerge when an experienced human tester thinks adversarially about the product. We staff senior testers who know how to find them.
Strategic QA engagements focused on test architecture, process design, and engineering direction rather than execution alone.
- QA process audit with prioritized improvement roadmap
- Test automation strategy aligned with your engineering culture and release cadence
- Quality metrics and KPI design that drive real engineering decisions
- Team structure and tooling recommendations for sustainable QA at scale
QA strategy decisions made early compound for years. We help engineering leaders make those decisions with senior practitioner perspective.
Why Choose Our QA & Testing Teams
Every QA engineer we place is pre-vetted through technical screening designed to validate real testing judgment, not just framework familiarity.
It is how we have maintained delivery quality without a single client experiencing a senior tester who could not handle their stack.
Our team consists of senior QA engineers with over 9 years of experience across test automation, performance engineering, and quality strategy. We focus on building high-performing QA teams that understand the engineering discipline behind reliable software.
Every engineer undergoes a rigorous multi-stage evaluation to ensure they can handle specialized testing requirements. With a deep talent pool, we provide the specific skills needed to move your quality engineering from reactive bug-finding to proactive engineering practice.
QA Case Studies with TechTIQ Inc.
Some of our real-world quality engineering work across industries.
Our Proven QA & Testing Process
A five-stage process built for quality engineering at production scale. Each stage has explicit deliverables and decision gates, so you can redirect the work at any sprint boundary.
Quality Assessment
We start by mapping your current test coverage, automation maturity, and quality bottlenecks before recommending any QA strategy. Honest assessment of where your testing actually stands, not where you wish it stood.
Test Strategy Design
We design the test architecture, automation framework, and quality processes required to support your release cadence at production scale. Strategy documents that engineering teams can actually execute.
Test Implementation
We build and validate test infrastructure using your real codebase and realistic data scenarios. Test suites are engineered, peer-reviewed, and benchmarked against actual production patterns.
Continuous Integration
Validated test infrastructure moves into full CI/CD integration with automated quality gates, performance baselines, and observability dashboards integrated into your existing engineering workflows.
Monitoring and Iteration
Post-deployment, we monitor test reliability, track flakiness, and iterate on coverage gaps surfaced by production incidents. Test suites degrade without active maintenance, so we build the infrastructure to keep yours improving over time.
Tools & Technologies for QA & Testing
The right testing tool depends on your stack, team maturity, and quality goals. We choose tools based on fit, not familiarity, and we remain framework-agnostic when a better option exists for your situation.
Selenium
Industry-standard browser automation framework for cross-browser web application testing at enterprise scale.
Cypress
Modern end-to-end testing framework built for developer experience and reliable web automation.
Playwright
Microsoft-backed automation framework supporting cross-browser testing with superior reliability and speed.
Appium
Cross-platform mobile automation framework for native, hybrid, and mobile web testing across iOS and Android.
JMeter
Open-source load testing tool for performance benchmarking and capacity planning at enterprise scale.
Gatling
High-performance load testing framework with developer-friendly DSL and real-time metrics.
k6
Modern load testing tool designed for engineering teams running performance testing in CI/CD pipelines.
Postman
Industry-standard API development and testing platform for contract validation and integration testing.
REST Assured
Java-based API testing framework for backend service validation and contract testing.
TestRail
Test case management platform for structured QA process and traceable coverage documentation.
BrowserStack
Cloud-based device and browser testing infrastructure for cross-platform validation at scale.
OWASP ZAP
Security testing framework for vulnerability assessment and penetration testing aligned with OWASP standards.
Client Testimonials
Our work holds up in code reviews, in production, and in front of the board.
Flexible Engagement Models
We adapt to how your organization actually procures and runs technical work.
Staff Augmentation
Senior QA engineers embedded with your internal team, under your direction, accountable to your quality outcomes. Selected to match your existing team composition and culture, working under your sprint cadence and engineering leadership.
Get StartedDedicated QA Development Team
An embedded squad of senior QA engineers aligned to your release cadence and accountable to your engineering leadership. Team sizes from 3 to 12+ engineers with QA architect, automation engineers, and US-based oversight.
Get StartedProject-Based Delivery
<p>Defined-scope QA engagements with transparent pricing, committed timelines, and full delivery accountability. Scope locked after Discovery phase with documented assumptions and decision gates.</p>
Get StartedLatest Insights
QA & Testing FAQ
For regulated industries, we design QA processes aligned with the specific frameworks relevant to your operating context: HIPAA for healthcare, SOC 2 for SaaS platforms, PCI DSS for payment systems, GDPR for European operations, and FDA software validation requirements. Compliance discipline is built into the testing process, not added at the end.
Yes. Many engagements involve working with established test infrastructure rather than rebuilding from scratch. Our team has deep experience across Selenium, Cypress, Playwright, Appium, and most modern automation frameworks. We adapt to your stack rather than imposing ours.
Engagement durations vary significantly based on scope. Fixed-scope projects typically run 8 to 24 weeks. Dedicated team engagements usually run 6 to 24 months with quarterly review cycles. Staff augmentation ranges from 3 months to multi-year. We provide defensible timeline estimates during Discovery, not marketing guesses.
Coverage metrics alone are insufficient. We measure success through production incident rates, regression escape rates, time-to-detect, time-to-fix, and engineering team velocity. Test coverage is a means, not a goal. The goal is shipping quality software faster.
Yes. AI and ML systems require specialized testing approaches: model accuracy validation, bias and fairness testing, data drift monitoring, performance under realistic inference load, and human-in-the-loop validation for high-stakes decisions. Our QA practice includes practitioners with ML systems testing experience.
For dedicated team engagements, we provide knowledge transfer programs ensuring your internal team can maintain and extend the test infrastructure independently. Documentation, runbooks, and training are built into the engagement deliverables. Clean handover is how partnerships should end when the time comes.
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Tell us about your product and release cadence and we will get back to you within one business day.
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