Senior Manager, QA

TYFONE INC

Portland (OR)

On-site

USD 110,000 - 150,000

Full time

14 days+
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Job summary

Tyfone, a leader in SaaS digital banking and payments, seeks a senior QA Automation Engineer to mentor a 2–4 person team and drive automated testing across API, Web, and mobile platforms. You will collaborate with engineering to translate product requirements into robust automation strategies and implement AI-enhanced testing as appropriate.

The role requires strong expertise in Java, Groovy, Python, and modern testing tools, with proven experience in Agile/Scrum environments and a focus on

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • Experience leading a QA team of 2-4 engineers.
  • Extensive experience in Software Testing Life Cycle.
  • Proven Test Automation experience.
  • Strong knowledge of Java, Groovy and Python.
  • Experience with API testing frameworks.
  • Experience with automation tools like Selenium, Katalon.
  • Mobile application testing experience.
  • Experience in defining test scenarios, writing test cases, and data mgmt.
  • Experience with databases is a plus.
  • Proficiency with version control systems (Git, SVN).
  • Experience in defect tracking and Agile/Scrum teams.
  • Strong automation-first mindset and scalable automation architecture.
  • Familiarity with AI/ML-driven testing tools and eager to adopt new AI capabilities in QA.

Responsibilities

  • Act as a strong advocate for quality and partner with cross-functional teams to craft schedules and test plans.
  • Lead a team of QA developers to build and drive automated test suites for API, Web, and Mobile platforms.
  • Collaborate with Engineering leadership to understand product functionality for automation planning.
  • Evaluate and improve SQA methodologies and documentation.
  • Plan and execute automation strategy and timelines.
  • Maintain test execution results and reports.
  • Champion automation-first testing to maximize coverage, speed, and confidence across platforms.
  • Explore AI/ML testing tools to improve efficiency and quality.

Skills

QA team leadership
Software Testing
Test Automation
Java
Groovy
Python
API testing
Selenium
Katalon
Mobile testing
Agile/Scrum
Git
SVN
AI/ML in testing

Education

Bachelor’s or Master’s degree in Computer Science or related fields

Tools

Selenium
Katalon
Git
SVN

Job description

Tyfone, a global leader in the SaaS Digital Banking, Youth Banking, and Digital Payments sectors, is redefining how the world engages with digital finance and payments. Our digital solutions empower individuals, families, and businesses to simplify and make it easier to manage their financial lives, achieve their financial goals, and improve their financial health. Our solutions power digital services for banks and credit unions across the U.S.

Tyfone is a leader in the digital banking sector, offering a range of solutions including nFinia Retail Digital Banking, nFinia Business Digital Banking, and Harmoney Management Console. We also provide payment solutions such as FedNow Instant Payment Xchange™ (IPX), Skip-A-Pay, and Quick Pay. Over 100 customers trust Tyfone’s solutions, which are supported by over 200 integrations and over 140 patents. Tyfone has been recognized as a Best Place to Work in Fintech by American Banker and has received multiple awards for its solutions. The company operates with a lean-team model for external engagements to manage costs, increase selling time, and accelerate pipeline velocity. Tyfone values collaborative execution as the path to market leadership.

We are an equal-opportunity employer, and we encourage candidates from diverse backgrounds to apply.

Responsibilities include (but are not limited to) the following.
  • Act as a strong advocate for quality and work closely with other functional teams to develop schedules, execute test plans, and deliver high-quality products
  • Lead a team of QA Developers to build and drive Automated API, Web, and Mobile Test Suites and for our product functionality on supported platforms.
  • Interface with the Engineering leadership to understand product functionality, required documentation and understanding required to drive the Automation Track.
  • Evaluate and enhance existing SQA methodologies, standards, approaches, and technologies with suitable processes and documentation.
  • Responsible for Planning and running the automation strategy and timelines .
  • Maintain test execution results, and test reports/documentation.
  • Champion an automation-first testing strategy, embedding automation early in the SDLC (shift-left) to maximize coverage, speed, and release confidence across API, Web, and Mobile platforms.
  • Drive AI-readiness across the QA function by evaluating, piloting, and adopting AI/ML-powered testing tools (e.g., AI-based test generation, self-healing automation, intelligent defect triage and analytics) to improve testing efficiency and quality outcomes.
Skills and qualifications.
  • Bachelor’s or Master’s degree in Computer Science or related fields
  • Experience in managing and mentoring a team of at least 2-4 QA engineers.
  • Extensive experience in Software Testing and Software Testing Life Cycle
  • Experience in Test Automation
  • Good knowledge of Java, Groovy and Python
  • Experience in API testing frameworks.
  • Experience with automation tools like Selenium, Katalon etc
  • Experience in mobile application testing
  • Extensive experience in identifying test scenarios, writing test cases, and test data management
  • Experience in database testing is a plus
  • Ability to work with version control systems (SVN, Git)
  • Experience in defect tracking and classification
  • Experience working with Agile/Scrum development methodologies
  • Strong automation-first mindset, with hands-on experience architecting and scaling robust test automation frameworks across API, Web, and Mobile platforms
  • Working knowledge of AI/ML-driven testing tools and techniques (e.g., AI-based test case generation, self-healing automation, intelligent test analytics), with a strong eagerness to evaluate and adopt emerging AI capabilities in QA
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