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 Full-Stack Engineer, Mainframe and Cloud Resilience

Lead engineering work to modernize Capital One’s IBM mainframe systems and strengthen cloud operations. Build resilient software with Agile teams using AWS and related technologies.

Apraksts

  • Lead developers across technology projects to build solutions that meet regulatory needs
  • Explore emerging technologies, take part in technology communities, and mentor engineers
  • Work with digital product managers to deliver cloud solutions that support customers’ financial well-being
  • Apply IBM z/OS, Scheduler, DB2, COBOL, and JCL expertise to maintain existing systems and move them toward cloud technologies
  • Build with Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, relational and NoSQL databases, Docker, Kubernetes, and AWS services
  • Guide Agile teams and establish practices for design, development, and reliable operations
  • Work with architects on service boundaries, integration patterns, and reusable frameworks
  • Refactor systems to address technical debt, improve performance, and identify opportunities for improvement
  • Shape long-term technology strategy by assessing new tools and practices in a you-build-it-you-own-it environment

Prasības

  • Bachelor’s degree or higher in computer science or a related quantitative discipline, such as statistics, economics, operations research, analytics, mathematics, or engineering
  • At least 4 years of software engineering experience; internship experience does not count
  • At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies
  • The employer does not provide employment authorization sponsorship or immigration-related support for new applicants
  • Preferred: Master’s degree in computer science or a related field
  • Preferred: 7 or more years coding in at least three of Go, Java, JavaScript/TypeScript, Python, Rust, C#, and Scala
  • Preferred: 3 or more years working with databases and database management systems
  • Preferred: 3 or more years working with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies
  • Preferred: 4 or more years contributing to open-source frameworks
  • Preferred: 3 or more years using front-end JavaScript or TypeScript frameworks
  • Preferred: 4 or more years building synchronous and asynchronous APIs
  • Preferred: 3 or more years working with CI/CD pipelines, infrastructure as code, and automated testing frameworks
  • Preferred: 3 or more years using Git-based version control
  • Preferred: 3 or more years troubleshooting technical issues in cloud environments
  • Preferred: Experience with AI coding tools and IDE copilots
  • Preferred: 3 or more years managing IBM z/OS mainframe platforms, IBM Scheduler, and DB2 relational databases
  • Preferred: 3 or more years engineering and supporting legacy enterprise software with JCL and COBOL
  • Preferred: At least 1 year mentoring engineers and supporting professional development on technical teams
  • Preferred: At least 1 year using observability to find and optimize performance bottlenecks in distributed systems
  • Preferred: Experience with interactive AI tools beyond basic code completion
  • Preferred: Experience leading cross-functional engineering work or large-scale technical initiatives
  • Preferred: Experience setting and applying coding standards and design patterns across teams

Priekšrocības

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

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