Capital One
Capital One
Capital One ir finanšu pakalpojumu un finanšu tehnoloģiju uzņēmums, kas piedāvā kredītkartes, auto aizdevumus, banku un uzkrājumu produktus. Uzņēmuma darbā finanšu zināšanas tiek apvienotas ar tehnoloģijām un digitālajiem rīkiem, lai uzlabotu to, kā klienti pārvalda savu naudu. Uzņēmuma karjeras iespējas ir vērstas uz klientiem paredzētu risinājumu veidošanu daudzveidīgā un iekļaujošā darba vidē.

Senior Director of Software Engineering

Lead Capital One engineering teams building scalable cloud banking platforms. Set architecture and talent strategy while advancing AI systems and enterprise technology delivery.

Apraksts

  • Lead and develop multiple teams of product-focused software engineers.
  • Set long-term technical strategy and architecture standards for enterprise platforms.
  • Align product roadmaps with scalable technology capabilities in partnership with senior engineering and business leaders.
  • Guide talent strategy, succession planning, skills development, and equitable opportunity.
  • Mentor engineers and support their professional and technical growth.
  • Partner with product managers to build market-driven application capabilities and customer experiences.
  • Continuously strengthen software engineering practices.
  • Design, build, test, implement, and support full-stack solutions across Agile teams.
  • Set standards for solution craftsmanship, availability, resilience, and scalability.
  • Track technology trends, experiment with emerging tools, and contribute to technology communities.
  • Promote innovation, technology adoption, inclusion, teamwork, self-organization, and diversity.
  • Increase engineering velocity across teams.
  • Lead application deployments in AWS environments.
  • Design and scale agentic banking systems, distributed multi-agent systems, real-time decision engines, and voice and text orchestration platforms while upholding compliance, privacy, and resilience standards.

Prasības

  • Bachelor’s degree or higher in computer science or a related quantitative field.
  • At least 7 years of people management experience.
  • At least 9 years of experience in software engineering and solution architecture.
  • At least 9 years of experience in enterprise architecture and design patterns.
  • At least 9 years of experience in cloud computing with AWS, Microsoft Azure, or Google Cloud.
  • At least 9 years of experience in data architecture.
  • Capital One will consider sponsoring a qualified new applicant for employment authorization.
  • Preferred: Master’s degree in computer science or software engineering.
  • Preferred: 12 or more years of experience in software engineering and solution architecture.
  • Preferred: 12 or more years of experience in enterprise architecture and design patterns.
  • Preferred: 12 or more years of experience with web technologies, including JavaScript, TypeScript, and single-page application frameworks.
  • Preferred: 12 or more years of experience designing and building distributed high-performance computing and machine learning systems.
  • Preferred: 12 or more years of experience in cloud computing with AWS, Microsoft Azure, or Google Cloud.
  • Preferred: 12 or more years of experience in data architecture.
  • Preferred: 12 or more years of professional coding experience in Go, Java, JavaScript or TypeScript, Python, Rust, C#, or Scala.
  • Preferred: 10 or more years of experience with databases and database management systems.
  • Preferred: 12 or more years of professional experience across the full system development lifecycle.
  • Preferred: 10 or more years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
  • Preferred: 12 or more years of experience with networking protocols and integration with third-party distributed systems.
  • Preferred: 7 or more years of experience mentoring senior engineers and supporting their professional development.
  • Preferred: 3 or more years of experience leading cross-domain architecture reviews or establishing coding and design standards.
  • Expertise in strategically applying agentic AI coding tools.

Priekšrocības

  • Performance-based incentive compensation, which may include cash bonuses, long-term incentives, or both.
  • Health, financial, and other benefits designed to support overall well-being.
  • Reasonable accommodations for applicants who need them.

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