inKind Logo

inKind

Quality Engineer, Automation & AI

Reposted 10 Days Ago
Easy Apply
Hybrid
Austin, TX
110K-130K Annually
Senior level
Easy Apply
Hybrid
Austin, TX
110K-130K Annually
Senior level
The Quality Engineer, Automation & AI designs automation frameworks, conducts manual testing, and collaborates with teams to ensure quality in the applications used by inKind's restaurant partners.
The summary above was generated by AI

Job Title: Quality Engineer, Automation & AI  

Role Summary:

The Quality Engineer, Automation & AI at inKind plays a critical role in ensuring the quality, performance, and reliability of the applications that power seamless dining experiences for our restaurant partners and their guests. You’ll design automation frameworks, perform exploratory testing, and help shape the future of quality engineering at inKind.

This is a hands-on, engineering-focused role that blends automation, manual testing, and modern AI-powered testing approaches. You’ll work closely with product and engineering teams to identify risks early, build high-quality systems, and elevate the entire QA function. As part of a fast-moving dev environment, you’ll be encouraged to think beyond traditional QA boundaries and contribute to broader product and engineering goals.

Who You Are:

  • Technically Fluent: You have strong programming fundamentals and can build robust automation with modern tooling
  • Curious & Exploratory: You dig deep to uncover edge cases and understand how systems behave under real-world conditions
  • AI-Inspired: You’re excited to explore Generative AI and AI-powered testing tools to improve efficiency and coverage
  • Quality-Focused: You balance automation with hands-on testing, choosing the right approach for the problem
  • Startup-Minded: You adapt quickly, work autonomously, and thrive in an environment where quality ownership is shared across teams
  • Collaborative & Clear: You partner closely with engineering, product, and business stakeholders to deliver exceptional user experiences

Responsibilities:

Test Automation & Engineering

  • Design, build, and maintain scalable, reusable automation frameworks for web, mobile, and API testing
  • Implement automated suites that integrate into CI/CD pipelines and improve release confidence
  • Leverage AI- and ML-powered testing tools to enhance coverage, speed, and overall QA intelligence

Manual & Exploratory Testing

  • Conduct hands-on functional, regression, and exploratory testing across inKind’s apps and platform
  • Identify edge cases, user experience gaps, and defects through deep investigative testing
  • Apply risk-based testing practices to prioritize where time and focus matter most

Quality Leadership & Collaboration

  • Partner with engineering and product teams to define testing strategies throughout the development lifecycle
  • Advocate for quality by raising risks early, validating requirements, and improving testability
  • Take ownership of quality outcomes, proactively identifying gaps and guiding continuous improvement efforts

Innovation & Continuous Improvement

  • Experiment with Generative AI tools to enhance efficiency and expand automation coverage
  • Drive improvements to test frameworks, tooling, and processes across engineering teams
  • Contribute ideas that impact product functionality, reliability, and customer experience, not just QA processes

Minimum Qualifications

  • 5+ years of combined automation and manual testing experience
  • Proficiency in at least one programming language: TypeScript, Java, Python, or JavaScript
  • Experience with automation tools such as Playwright, Cypress, Selenium, WebdriverIO, or Appium
  • Strong understanding of manual testing, exploratory techniques, and risk-based testing
  • Experience working in fast-paced startup or agile environments
  • Interest in or experience with AI-powered and Generative AI testing tools
  • Strong problem-solving skills and an inquisitive mindset
  • Ability to collaborate across cross-functional teams and contribute beyond traditional QA responsibilities

Preferred Qualifications

  • Experience with CI/CD pipelines and DevOps practices
  • Familiarity with cloud environments such as AWS, GCP, or Azure
  • Experience with data-driven testing or validating analytics pipelines
  • Contributions to open-source testing tools or personal engineering projects
  • Ability to write maintainable test code that supports long-term scalability

Some of our Benefits:

  • Generous PTO and company holiday policy + company paid Short Term Disability
  • 100% employer covered health and dental insurance for our direct employees (a set plan is covered, with higher tier healthcare coverage available at employee's additional cost; dependent coverage is at employee's cost); vision plan available at employee's additional cost
  • Child Care Benefits and generous parental leave
  • Dog-friendly workspace in a secure building with great views of downtown Austin
  • Daily lunches and snacks for in-office team members

Salary:

  • $110,000 - $130,000, DOE
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.

Read our Privacy Policy.

Top Skills

Appium
AWS
Azure
Cypress
GCP
Java
JavaScript
Playwright
Python
Selenium
Typescript
Webdriverio

Similar Jobs at inKind

Yesterday
Easy Apply
Remote or Hybrid
USA
Easy Apply
190K-200K Annually
Senior level
190K-200K Annually
Senior level
eCommerce • Fintech • Food • Mobile • Social Impact
The Senior Platform Engineer will manage AWS infrastructure, ensure system reliability and performance, and lead architectural decisions. Responsible for security, observability, and operational excellence, mentoring other engineers while collaborating with application teams.
Top Skills: AlbAWSCloudFormationCloudwatchEc2EcsEksElasticacheIamNlbRdsTerraformVpc
2 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
115K-130K Annually
Senior level
115K-130K Annually
Senior level
eCommerce • Fintech • Food • Mobile • Social Impact
Manage B2B account recovery strategy for restaurant partners. Negotiate debt recovery while maintaining partner relationships. Collaborate with legal and finance on complex debt situations.
Top Skills: Accounting SystemsExcelHubspotSalesforce
4 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
70K-80K Annually
Junior
70K-80K Annually
Junior
eCommerce • Fintech • Food • Mobile • Social Impact
Onboarding Specialists train new restaurant partners on inKind's platform, manage projects, and improve implementation processes while ensuring effective communication.
Top Skills: AsanaCordialGoogle SuiteKeynoteSlack

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account