Capital One
Capital One
Capital One kredit kartalari, avtomobil kreditlari, bank xizmatlari va jamg‘arma mahsulotlarini taklif qiluvchi moliyaviy xizmatlar va fintech kompaniyasidir. Kompaniya faoliyati mijozlarning mablag‘larini boshqarish usulini yaxshilash uchun moliyaviy tajribani texnologiyalar va raqamli vositalar bilan birlashtiradi. Kompaniyadagi karyera yo‘nalishlari xilma-xillik va inklyuzivlikni qadrlaydigan ishchi kuchi tarkibida mijozlarga yo‘naltirilgan yechimlar yaratishga qaratilgan.

Staff Engineer, Cloud Data Security - Capital One

Lead cloud data security engineering at Capital One by modernizing enterprise systems, building tokenization infrastructure, and mentoring engineers. Help shape resilient platforms that protect highly sensitive human data.

Tavsif

  • Set and promote the domain’s technical vision.
  • Turn complex challenges into practical, operational solutions.
  • Maintain the quality of technical designs and implementations.
  • Guide decisions involving performance, scalability, and operability.
  • Expand advanced technical knowledge and share it with the engineering community.
  • Coordinate multiple projects and prioritize work for maximum impact.
  • Mentor engineers and build technical capability across engineering and product teams.
  • Modernize monolithic applications into microservices and event-driven platforms.
  • Partner with senior engineering and architecture leaders on platform strategy and API standards.
  • Contribute hands-on while mentoring and developing peer and junior engineers.
  • Lead cross-divisional initiatives that advance technology best practices.
  • Build and enhance Turing, Capital One’s centralized cloud platform for tokenizing highly sensitive human data.
  • Develop resilient, multilingual SDKs and Kanudo, the internal caching platform, to support enterprise security at scale.

Talablar

  • Bachelor’s degree or higher in computer science or a related quantitative field.
  • At least 7 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture.
  • Preferred: master’s degree in computer science or software engineering.
  • Preferred: 10 or more years of experience in software engineering and solution architecture, enterprise architecture and design patterns, web technologies, distributed HPC and ML systems, cloud computing, and data architecture.
  • Preferred: 10 or more years of professional coding experience in Go, Java, JavaScript or TypeScript, Python, Rust, C#, or Scala.
  • Preferred: 8 or more years of experience with databases and database management systems.
  • Preferred: 10 or more years of professional experience across the full system development lifecycle.
  • Preferred: 8 or more years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
  • Preferred: 10 or more years of experience with networking protocols and third-party distributed systems.
  • Preferred: 5 or more years of experience mentoring senior engineers and leading professional development.
  • Preferred: 2 or more years of experience leading cross-domain architecture reviews and establishing coding and design standards.
  • Expertise in the strategic use of agentic AI coding tools.
  • Capital One will consider sponsoring a new qualified applicant for employment authorization.

Imtiyozlar

  • Performance-based incentive compensation may include cash bonuses and/or long-term incentives.
  • Comprehensive health, financial, and other benefits designed to support total well-being.
  • Employment authorization sponsorship may be considered for a new qualified applicant.
  • Reasonable accommodations are available for applicants who require them.

O‘xshash ish o‘rinlari

Terumo Medical Corporation

Territory Manager, Interventional Systems — Philadelphia

Terumo Medical Corporation

Lead sales of Terumo Interventional Systems devices to hospitals and outpatient facilities in the Philadelphia area. Build accounts, support procedures, educate clinicians, and meet territory sales goals.

Ochish
Aleph Alpha

Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg

Aleph Alpha
51 – 200 Xodimlar
B2BSun’iy intellekt

Lead architecture and large-scale pre-training work for Aleph Alpha’s European foundation models, shaping training methods across thousands of GPUs. Build and refine PyTorch training recipes with the Heidelberg-based hybrid team.

Ochish