Lead Quality Engineer

Axos Bank•San Diego, CA

8d•Onsite

About The Position

Axos Bank is seeking a Lead Quality Engineer to lead release quality for web and mobile online banking applications. The role is based on-site at the company headquarters in San Diego, California; remote and hybrid work are not available. The quality engineering organization has transitioned from QA to QE and is advancing AI-assisted and agentic quality engineering practices. The successful candidate will bring an AI-first mindset, exposure to AI agents in software testing, and familiarity with tools such as Cursor or Claude, alongside experience in banking or fintech application testing and automation. The position leads a fast-paced release team and is accountable for release testing, quality metrics, and deployment readiness. It includes maintaining web and mobile automated regression suites, making go/no-go decisions, providing formal Quality sign-off, supporting after-hours release calls, and mentoring quality engineers. The role calls for strong collaboration, precision, personal accountability, and continuous improvement. The target salary range is $105,000–$122,000 per year. The position is eligible for annual discretionary cash and restricted stock unit bonus targets of 10% each; these may be awarded semi-annually based on achievement of performance goals and targets. Actual starting pay varies based on factors including geographic location, experience, skills, specialty, and education.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
At least 7 years of experience in quality engineering, including leading a team of 6 or more.
Experience in the banking or fintech industry.
Hands-on test automation experience in at least one area: web UI (Playwright or Cypress), mobile (Appium), or API (Postman or RestAssured).
Experience testing web and mobile applications on iOS and Android.
Experience managing software releases and leading a release team, including making go/no-go decisions.
Exposure to AI agents in software testing, including AI-assisted test generation, execution, and maintenance.
Hands-on familiarity with AI tools such as Cursor or Claude.
Working knowledge of SQL for test data validation and backend verification.
Strong understanding of quality engineering methodologies, tools, and processes, including quality gates and quality metrics.
Experience with Agile/Scrum development practices.
Excellent communication and leadership skills, including the ability to articulate issues clearly, mentor others, and collaborate across teams.
Strong problem-solving skills and attention to detail.

Responsibilities

Lead and manage a release team responsible for regression testing of planned web and mobile releases and hotfixes; set priorities, assign work, and keep testing on schedule.
Manage testing end to end across the release process, including planning, scheduling, and coordination, and promptly communicate blockers and risks to stakeholders.
Make go/no-go decisions and provide formal Quality sign-off confirming release readiness for deployment.
Provide after-hours release support as the QE representative on release calls, including validation, troubleshooting, and escalation through release completion.
Maintain automated regression suites for web applications using Playwright and mobile applications using Appium, with an automation-first and AI-first mindset.
Maintain release quality dashboards to track key metrics and performance indicators for each release.
Escalate quality-related conflicts to QE management.
Mentor quality engineers through one-on-one coaching and peer reviews, including guidance on effective use of AI tools.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Paid sick leave
Three weeks of vacation
Holidays (about 11 per year)
HSA or FSA account
Other voluntary benefits
401(k) Retirement Saving Plan with employer match
529 Savings Plan
Employee Mortgage Loan Program
Free access to an Axos Bank Account with Self-Directed Trading
Annual discretionary cash bonus target of 10%, potentially awarded semi-annually based on performance goals and targets
Annual discretionary restricted stock units bonus target of 10%, potentially awarded semi-annually based on performance goals and targets