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Tier-1 brand, metro location, and mid-level generalist role increase applicant competition.
Engineering advocacy and SDLC skills transfer across industries, though payments domain knowledge increases domain specificity.
Explicit 5+ years, certification requirement, and regulated payments/security expectations increase screening rigor.
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Own adoption and practical implementation of architecture standards and AI-assisted development practices across 10,000 Payments engineers.
Embed with Payments application teams to contribute code, conduct gemba walks, identify and propagate effective engineering patterns, and coach on anti-patterns.
Drive AI-assisted engineering practices adoption including code review, test acceleration, and incident analysis while establishing validation standards for secure and high-quality outputs.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience in system design, application development, testing, and ensuring operational stability.
Proven experience influencing engineering practices beyond immediate teams in a large corporate environment.
Demonstrated leadership in AI-assisted software development tools usage with knowledge of responsible AI practices in secure and compliant engineering workflows.
Experienced technical lead or cross-team influencer comfortable embedding within teams to drive engineering excellence through direct contribution and coaching.
Strong communicator with a track record of teaching, mentoring, and producing technical educational content such as presentations and blogs.
Strategic thinker with familiarity or interest in Payments or high-volume transaction systems, able to adapt to fast-paced, ambiguous environments while focusing on practical engineering outcomes.