Q2
Q2
Q2 — қаржы ұйымдарына арналған цифрлық банкинг бағдарламалық жасақтамасын әзірлейтін финтех және банк технологиялары компаниясы. Оның платформасы жеке тұлғаларға, шағын бизнеске және коммерциялық банкингке қызмет көрсетеді. Платформа цифрлық онбординг, жекелендірілген клиент тәжірибесі, деректерге негізделген шешім қабылдау, алаяқтықты басқару және тәуекелдерді бақылау құралдарын ұсынады. Q2 өнімдері банктер мен басқа да қаржы ұйымдарына клиенттермен қарым-қатынасты нығайтуға және қаржылық қызметтерді ұсыну мен басқару тәсілдерін жетілдіруге көмектеседі.

Software Engineering Manager, Fraud and Risk Platforms (Hybrid)

Lead US-based engineering for Q2’s fraud and decisioning platforms within a digital banking and lending technology company. Own reliable enterprise delivery, AI-enabled capabilities, and team development in a hybrid role.

Сипаттама

  • Own the US functional remit for a core fraud and risk platform domain
  • Set technical direction and oversee platform health and delivery results
  • Establish architectural standards, operational KPIs, and reliability targets
  • Develop AI-enabled capabilities through automation, model-based decisioning, and data observability
  • Maintain production stability through monitoring, incident response, and root cause analysis
  • Coordinate roadmap priorities with Product, Risk, Data, and Engineering partners
  • Improve platform scalability, resilience, and security
  • Lead and support US-based engineers in their day-to-day work
  • Work within a globally distributed engineering organization
  • Maintain consistent delivery, engineering quality, shared standards, and tooling
  • Coordinate across regions and remove execution obstacles
  • Guide adoption of AI-first engineering practices
  • Balance responsible innovation with production discipline and compliance requirements
  • Coach engineers through performance management and career development
  • Advance code review, architectural governance, DevOps maturity, and CI/CD practices
  • Run Agile ceremonies centered on predictability, accountability, and measurable outcomes
  • Contribute to hiring and onboarding

Талаптар

  • At least 6 years of software engineering experience, or 4 years with an advanced degree
  • At least 2 years of people management experience with evidence of developing teams
  • Experience owning or operating a production enterprise platform against defined reliability and performance targets
  • Experience incorporating AI/ML capabilities into enterprise systems is preferred
  • Strong knowledge of distributed systems, observability, secure development, and scalability
  • Experience working in a globally distributed delivery model
  • Demonstrated success improving operations and delivery predictability
  • Leadership presence grounded in ownership, accountability, and results
  • Fluent written and spoken English
  • Authorization to work for any US employer
  • Unable to require employment visa sponsorship or transfer
  • A bachelor’s degree or equivalent is not explicitly required; an advanced degree is mentioned only as an alternative to some experience

Артықшылықтар

  • Health and wellness coverage, including competitive health insurance options
  • Generous paid parental leave for eligible new parents
  • Hybrid work opportunities
  • Flexible time off
  • Career development and mentoring programs
  • Community volunteering and company philanthropy programs
  • Employee peer recognition through the “You Earned It” program
  • Ongoing learning opportunities
  • Internal mobility
  • Meaningful leadership relationships
  • Company-wide volunteer days
  • Q2 Homecoming Week with learning, community service, and culture-building activities
  • Spark Program volunteer opportunities and nonprofit support

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