Q2
Q2
Q2 एक फिनटेक और बैंकिंग प्रौद्योगिकी कंपनी है, जो वित्तीय संस्थानों के लिए डिजिटल बैंकिंग सॉफ़्टवेयर विकसित करती है। इसका प्लेटफ़ॉर्म उपभोक्ता, छोटे व्यवसाय और वाणिज्यिक बैंकिंग को support करता है तथा डिजिटल ऑनबोर्डिंग, व्यक्तिगत ग्राहक अनुभव, डेटा-आधारित निर्णय लेने, धोखाधड़ी प्रबंधन और जोखिम निगरानी के लिए उपकरण प्रदान करता है। Q2 के उत्पाद बैंकों और अन्य वित्तीय संगठनों को ग्राहक संबंध मजबूत करने के साथ-साथ वित्तीय सेवाओं की डिलीवरी और प्रबंधन को बेहतर बनाने में मदद करते हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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