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Capital One
Capital One
H1B vīzas sponsorsBanku darbībaFinansesFintech
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.
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Vakances uzņēmumā

Full-Stack Engineer - Capital One (McLean, VA, Onsite)

Lead distributed systems and cloud engineering initiatives at Capital One as a full-stack engineer. Guide Agile teams, shape technical standards and architecture, and build solutions that support financial empowerment.

USAmerikas Savienotās ValstisVAVirdžīnija
179 400 $ – 225 100 $ / gads
KlātienēPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuFull-stack inženierisProgrammatūras inženieris
Atvērtais pirmkodsAWSAzureDockerGoGoogle Cloud PlatformJavaJavaScriptKubernetesMākonisMikropakalpojumiNode.jsNoSQLPythonRDBMSRustSadalītās sistēmasScalaTypeScript

Apraksts

  • Lead a portfolio of technology projects and developers working with distributed microservices and full-stack systems
  • Develop solutions that address the company’s regulatory requirements
  • Track technology developments, test and learn emerging tools, and engage with internal and external technology communities
  • Mentor members of the engineering organization
  • Work with digital product managers to deliver reliable cloud solutions supporting millions of Americans’ financial empowerment
  • Apply programming languages, databases, container orchestration platforms, and AWS services
  • Provide technical leadership and guidance across Agile teams
  • Establish standards for design, development, and operational excellence
  • Collaborate with architects on service boundaries, integration patterns, and reusable frameworks
  • Find opportunities for improvement, deliver focused refactoring, and reduce technical debt
  • Improve system performance
  • Help shape long-term technology strategy by assessing emerging 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 four years of software engineering experience, excluding internships
  • At least two years of experience with public cloud platforms such as AWS, GCP, or Azure, cloud productivity tools, or virtualization technologies
  • Proficiency or experience with Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript
  • Experience working with open-source relational and NoSQL databases
  • Experience using Docker and Kubernetes
  • Preferred: Master’s degree in computer science or a related discipline
  • Preferred: At least seven years of coding experience across more than two of Go, Java, JavaScript/TypeScript, Python, Rust, C#, and Scala
  • Preferred: At least three years of experience with databases and database management systems
  • Preferred: At least three years of experience with AWS, GCP, Azure, cloud productivity tools, or virtualization technologies
  • Preferred: At least four years of contributing to open-source frameworks
  • Preferred: At least three years of experience with front-end JavaScript or TypeScript frameworks
  • Preferred: At least four years of creating synchronous and asynchronous APIs
  • Preferred: At least three years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
  • Preferred: At least three years of experience with Git-based version-control systems
  • Preferred: At least three years of troubleshooting technical issues in cloud environments
  • Preferred: Experience using modern AI coding tools and IDE copilots
  • Preferred: At least one year of mentoring engineers and supporting professional development within technical teams
  • Preferred: At least one year of using observability to identify and optimize performance bottlenecks in distributed systems
  • Preferred: Experience with interactive AI tools beyond basic code completion
  • Preferred: Experience leading cross-functional engineering initiatives or large-scale technical programs
  • Preferred: Experience establishing and enforcing coding standards and design patterns across teams
  • Capital One will not sponsor new applicants for employment authorization or provide immigration-related support for this position

Priekšrocības

  • Performance-based incentive compensation, potentially including cash bonuses and long-term incentives
  • Comprehensive and competitive health, financial, and other benefits designed to support overall well-being
  • Reasonable accommodations are available for applicants who need them

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