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Q2 - Senior Staff Software Engineer

  • Source: LinkedIn
  • MFIFLEX TECHNOLOGIES PRIVATE LIMITED
  • Hybrid
  • Bengaluru
  • Full-Time
  • Senior

Job Description

As passionate about our people as we are about our mission. Why Join Q2 Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

Our mission is simple : build strong and diverse communities through innovative financial technologyand we do that by empowering our people to help create success for our customers.

What Makes Q2 Special Being as passionate about our people as we are about our mission.

We celebrate our employees in many ways, including our Circle of Awesomeness award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships.

We also know that nothing builds trust and collaboration like having fun.

We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

Senior Staff Engineer Role Summary : We are seeking a Senior Staff Engineer to lead strategic initiatives across customer-facing product engineering teams building next-generation digital banking experiences.

This role combines deep technical expertise, architectural leadership, AI-native engineering practices, and operational excellence to deliver scalable, secure, resilient, and intuitive products that drive customer value.

You will partner closely with Product, Design, Data, Security, and Engineering leaders to define long-term architectural strategy, guide complex technical decisions, accelerate product delivery, and enable teams to build intelligent, customer-focused products at scale.

Key Responsibilities

  • Architecture, Technical Strategy & Product Engineering :
  • Define and drive long-term architecture strategy for customer-facing digital banking products and shared product capabilities.
  • Translate product vision, customer needs, and business goals into scalable, resilient, secure, and maintainable engineering solutions.
  • Lead architecture and design reviews, driving alignment on trade-offs, engineering standards, scalability, extensibility, and long-term technical direction.
  • Establish reusable architectural patterns, APIs, domain boundaries, integration standards, and engineering conventions across teams.
  • Drive modernization initiatives that reduce technical complexity, improve maintainability, and accelerate product delivery.
  • Ensure architectural decisions balance customer experience, delivery velocity, reliability, compliance, and future scalability.
  • Influence product roadmaps and investment decisions through technical strategy, architectural foresight, and scalability considerations.
  • AI-Native Product Engineering & Engineering Excellence :
  • Drive adoption of AI-native capabilities that improve customer experiences, operational efficiency, personalization, and developer productivity.
  • Partner with product and engineering teams to identify opportunities for intelligent automation, conversational experiences, predictive insights, agentic workflows, and AI-assisted engineering practices.
  • Improve engineering productivity through automation, CI/CD, tooling, reusable frameworks, and AI-assisted development workflows.
  • Establish standards for testing, observability, resiliency, security, scalability, accessibility, and operational excellence.
  • Define SLAs/SLOs, reliability standards, and operational readiness practices for business-critical customer journeys.
  • Lead incident response, postmortems, and continuous improvement initiatives focused on customer impact and product stability.
  • Ensure responsible AI adoption through governance, privacy, explainability, security, and risk management practices.
  • Guide adoption of modern AI patterns including LLM integrations, RAG-based architectures, intelligent automation, and enterprise AI governance.
  • Collaboration, Leadership & Organizational Impact :
  • Drive alignment across Product Engineering, Product Management, Design, Security, Compliance, Operations, and Executive Leadership.
  • Communicate architectural trade-offs, customer impact, and technical risks clearly to both technical and business stakeholders.
  • Foster a product engineering culture focused on ownership, innovation, simplicity, …

Skills

  • q2
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