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Automation Engineer

Kinective


Job Location:

Golden, CO - USA

Yearly Salary: USD 60000 - 80000
Posted: 4 October 2026 (Yesterday)
Application Deadline: 1 January 2027
Vacancies: 1 Vacancy

Job Summary

Full-time
Description

Lead the Way to Intelligent Banking with Us!

You might not think about what happens behind the scenes when you check your bank balance or deposit a check from your phone but we do. Every day.

Kinective empowers banks and credit unions to move beyond keeping up with technology to shaping the future of banking. Our platform seamlessly connects the right tools delivers real-time data and drives smarter operations for more than 4000 financial institutions nationwide. We are a fast-growing team built on individual ownership company-wide collaboration and setting industry-leading standards. Here new ideas are encouraged candid feedback is welcomed and your growth truly matters as much as the companys. At Kinective we are leading the way to intelligent banking together and enjoying the journey along the way.


Why This Role Matters

As a Manual Test & Automation Engineer at Kinective youll play a key role in ensuring our products are reliable scalable and ready for real-world banking environments. Youll own quality engineering for assigned product areas while contributing to both hands-on manual testing and automation efforts helping strengthen release confidence AI-assisted testing and technical quality practices across the Data Intelligence platform.


This role goes beyond test executionyoull translate requirements into thoughtful test strategies perform manual testing as needed build maintainable UI and API automation design and govern AI-assisted QA workflows improve framework and pipeline health make risk visible and partner with Product and Engineering to deliver with confidence. If you enjoy digging into complex problems improving how things work and building software customers can trust youll thrive here. Youll work primarily in a data-heavy enterprise platform with a mature component-framework-based UI dynamic grids embedded frames and heavy asynchronous loading. Building automation that stays stable against it is genuinely challenging work and genuinely valuable when its done well.


What youll own

Test Strategy & Planning

  • Own risk-based test strategy for assigned product areas translating requirements and acceptance criteria into clear testable outcomes.
  • Drive coverage planning across scenarios test data environments and release risks in partnership with QA Product and Engineering.
  • Use AI-assisted story analysis to accelerate test design while ensuring human review traceability and quality standards.

Test Execution & Automation

  • Perform manual functional regression exploratory and scenario-based testing as needed to validate product quality and release readiness.
  • Own reliable UI and API automation for critical workflows using Playwright TypeScript and maintainable test patterns.
  • Run and report release-scoped regression producing clear readiness evidence and a documented view of coverage gaps before a release.
  • Build reusable page objects components utilities fixtures test data assertions and diagnostics that improve speed and trust.
  • Apply AI-assisted tools to generate extend debug and maintain tests while validating correctness security determinism and release relevance.
  • Manage test environments and test data including provisioning and refreshing environments loading and validating datasets and troubleshooting remote access and connectivity issues.

Defect Management & Troubleshooting

  • Triage the scheduled regression run on a daily cadence classifying each failure by disposition product defect test defect environment issue or inconclusive and driving each to a resolution or an owner.
  • Own clear defect identification documentation triage and prioritization in Jira through resolution.
  • Diagnose root causes across application test data environment and infrastructure issues using evidence-driven analysis.
  • Turn escaped defects and production incidents into durable regression coverage or a documented improvement plan.

Collaboration & Continuous Improvement

  • Own quality visibility across the SDLC by surfacing regression trends flaky-test patterns framework health CI/CD feedback and release evidence.
  • Maintain QA documentation test cases and knowledge-sharing resources.
  • Own Jira/Xray test-management upkeep on a per-story basis: creating Test issues linking Test Executions back to Stories and keeping automation-to-test-key mappings current so traceability stays intact.
  • Use and maintain the teams AI-assisted QA workflows applying judgment about when generated output can be trusted and when it needs rework.
  • Partner across teams review test code mentor others and raise quality standards through shared ownership and practical improvements.

How Well Measure Success

  • High-quality releases with reliable evidence and minimal critical defects reaching production.
  • Strong risk-based coverage including effective automation that improves speed confidence and repeatability.
  • Efficient defect resolution and a trustworthy regression suite with clear documentation root-cause identification stable pass rates a shrinking backlog of non-actionable failures and results the team acts on rather than works around.
  • AI-assisted QA workflows improve speed and coverage while producing standards-compliant maintainable reviewable and traceable outputs.
  • Early detection of issues through stronger requirements testability collaboration and feedback loops.
  • Ongoing improvements to QA processes framework health pipeline feedback and release readiness.
  • Effective collaboration and mentoring with growth toward broader QA leadership responsibilities over time.

Success here isnt about checking boxes its about propelling Kinectives mission to lead the way to intelligent banking. You must bring excellence to your craft balance resourcefulness with respect share and celebrate unique expertise and diverse perspectives and continuously raise the bar as we innovate and grow.


Necessary Qualifications & Competencies

  • 4 years in Quality Assurance Quality Engineering manual testing automation engineering or a similar role.
  • 2 years designing and maintaining test automation for UI API and regression coverage.
  • Practical experience using AI-assisted tools in QA or software engineering workflows including test design code generation debugging failure analysis or documentation.
  • Experience working as a senior individual contributor technical owner or mentor in a quality engineering team.

Technical Skills

  • Hands-on experience with Playwright and TypeScript or a comparable modern browser-automation framework.
  • Ability to evaluate AI-generated outputs for correctness maintainability traceability security deterministic behavior and fit-for-purpose coverage.
  • Experience with API testing tools such as REST Assured Postman or similar.
  • Working knowledge of SQL APIs GitLab pull requests code review CI/CD pipelines Jira Xray and system integrations.

Process & Tools

  • Strong understanding of SDLC STLC Agile delivery risk-based testing and shift-left quality practices.
  • Ability to design maintainable automation using page objects reusable components stable locators meaningful assertions and useful diagnostics.
  • Ability to analyze logs traces screenshots AI-generated explanations and test artifacts to identify root cause and improve test signal.

Core Competencies

  • Strong analytical and problem-solving skills with high attention to detail and sound judgment when using AI-generated recommendations.
  • Clear documentation communication and stakeholder-management skills including the ability to explain AI-assisted QA decisions and tradeoffs.
  • Self-motivated adaptable collaborative and comfortable influencing responsible AI adoption without formal authority.

Preferred Skills

  • Familiarity with Selenium/WebDriver and Java-based legacy automation is a plus but not required.
  • Experience testing complex single-page applications dynamic component libraries or data-heavy enterprise systems.
  • Experience with enterprise CI/CD and DevOps platforms containerized test execution debugging and trace analysis test reporting and quality engineering dashboards.
  • Experience evaluating AI-enabled product behavior LLM-based features confidence thresholds model outputs or human-review workflows.
  • Experience testing data integrity permissions security boundaries reporting synchronization or AI-enabled product behavior.
  • Experience designing or operating AI-assisted or agentic QA workflows that connect requirements test generation execution failure analysis and test-management updates.
  • Familiarity with financial services data banking or credit union systems core integrations or regulated reporting.

Pay Benefits & Total Rewards

$60000$80000 with 10% bonus potential

The salary range listed reflects the minimum and maximum for this role. Individual compensation is based on experience qualifications job-related skills location and internal equity and most offers are not made at the top of the range.

Base pay is one part of Kinectives Total Rewards package. Depending on the role employees may also be eligible for bonuses commissions or equity. All employees have access to a competitive benefits package designed to support health well-being and financial security including:

  • Comprehensive health coverage (medical dental vision prescriptions life & disability)
  • Flexible PTO 11 company holidays and generous parental and caregiver leave
  • An immediately vested 401(k) with company contributions
  • Wellness resources and professional development opportunities

If youve made it this far wed love to hear from you. Click Apply to start the conversation even if youre not sure you check every box. Learn more about Kinective at .

Please note that this role does not currently offer sponsorship opportunities.

Salary Description
$% bonus

Required Experience:

IC


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