VP of Engineering leading engineering teams across value streams at Bankjoy. Responsible for delivering quality engineering solutions in a fintech startup environment.
Responsibilities
Lead four value streams — Banking Core Integration, Business Banking, Vendor Integration, and Account Acquisition — owning delivery, velocity, and technical excellence across each
Manage and develop engineering managers, tech leads, and a Principal Engineer, building a high-performing organization that uses AI-assisted development as a core practice
Provide hands-on technical leadership by partnering with tech leads on solution design, architectural reviews, production incident management, and complex troubleshooting, while remaining close enough to the systems to guide critical engineering decisions.
Partner closely with the VP of Platform Engineering on cross-cutting initiatives including AI coding adoption, release coordination, architectural standards and DevOps.
Drive quarterly engineering OKRs focused on AI productivity, code quality, and delivery velocity
Participate in senior leadership alongside the COO, VP of Platform Engineering, and product leadership
Design and implement Bankjoy's engineering quality framework across all eight value streams — setting standards for unit testing, integration testing, automated regression, and release readiness
Own a modern multi-platform automation framework covering Angular, Swift, and Kotlin
Define and enforce quality gates — explicit go/no-go release criteria that every value stream must meet, including automated coverage thresholds, defect standards, and QE sign-off
Lead and develop a QA organization of eight manual QA engineers and two dedicated automation QA engineers, working with the QA manager to elevate the team toward a quality engineering model
Establish a test data management layer, environment parity standards, and CI/CD quality integration across all value streams
Build a quality dashboard visible to engineering and leadership — automation coverage, open defect counts, regression completion rates — so release readiness is transparent, not judgment-based
Partner with the Release Manager to implement a structured release gate process — mid-cycle readiness reviews and formal go/no-go decisions with explicit sign-offs from engineering, QA, and product
Work closely with Technical Support to close the feedback loop between production issues and engineering prioritization — ensuring client-impacting defects drive process changes, not just fixes
Own post-release retrospectives for every release that generates client impact — extracting systemic lessons and driving specific process changes with named owners and deadlines
Partner with product leadership to enforce scope freeze discipline and ensure QEs are involved in sprint planning and story grooming, not just sprint end
Champion AI-assisted coding adoption across your four value streams — working alongside the VP of Platform Engineering who leads the org-wide AI initiative
Embed AI productivity into engineering performance criteria — adoption and fluency, output velocity, code quality with AI, and knowledge sharing
Ensure AI tools are used in QA as well as development — AI-assisted test generation, automated test maintenance, and prompt-driven regression coverage
Requirements
10+ years of engineering experience with at least 4 years in engineering leadership, managing engineering managers and senior individual contributors
Deep background in quality engineering — you have personally built or rebuilt automation frameworks, not just overseen them from a distance
Proven experience migrating automation frameworks in a multi-platform environment (web and native mobile — iOS and Android)
Demonstrated success driving a cultural shift from manual-heavy to automation-first QA in a fintech, banking, or similarly regulated environment
Experience implementing release gate processes and enforcing go/no-go decisions under schedule pressure — you have called a no-go and held the line
Hands-on experience with modern automation tooling — Playwright, Cypress, Appium, Maestro, or equivalent; familiarity with Angular, Swift, and Kotlin environments is a strong advantage
Experience driving AI coding tool adoption across engineering teams — changed culture and productivity, not just personal usage
Strong technical depth with the ability to engage directly in solution design, architecture discussions, production incident response, root-cause analysis, and complex debugging alongside engineering leads and senior engineers
Ability to balance strategic leadership with operational execution, remaining close enough to systems and engineering workflows to make informed technical and delivery decisions in high-pressure environments
Strong cross-functional credibility — you have worked closely with technical support, release management, and product to solve systemic quality problems, not just engineering-internal ones
Excellent communication and organizational influence skills — you can hold senior stakeholders accountable to quality standards without relying on hierarchy.
Benefits
A fast-paced and collaborative environment
Competitive compensation
Stock options at a well-funded startup
We cover 100% of medical, dental, and vision premiums for individuals on our base plan, with significant contributions toward all other plan options (USA).
We cover 100% of extended medical, dental, and vision premiums for you and your family under our single, comprehensive plan (Canada).
Retirement plan with 4% company matching
8 weeks paid parental leave for birthing parents, 4 weeks for non-birthing
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