Lead Machine Learning Engineer, Bank Tech

Company: Capital One
Location: Fredericksburg
Posted on: October 18, 2024

Job Description:

Center 3 (19075), United States of America, McLean, VirginiaDistinguished Engineer - Network Infrastructure SecurityAs a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.The Distinguished Engineer will be part of the Network Protection Engineering organization with a focus on shaping the network security agenda for multiple network infrastructure platforms across Capital One. They will leverage their expertise in public cloud and experience implementing network security capabilities at scale to establish the vision and realization of new features and technology within the organization. -They will enable efficiency within our incident management processes while leading deep dives and driving overall best practices around root cause analysis and resolution for any critical incidents. Additionally, they will influence overall technical direction while mentoring other technologists in the space.If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.Key responsibilities:

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product communitySkills Include:
  • Deployment of IPv6 & associated security controls at scale -
  • DNS-related threats (enterprise and customer focused)
  • Mitigation against IoT & Campus centric security threats
  • Secure multi cloud (AWS, Azure, GCP) & hybrid cloud network security solutions
  • Understanding of extranets, next-generation cloud-based connectivity models for supplier integration
  • Leveraging Site Reliability Engineering principles in the build and operation of secure and reliable systems
  • General Cyber Security & Network Security technologies such as IPS/IDS, CSOC integration
  • Experience of leading and resolving live cyber attack incidentsBasic Qualifications:
    • Bachelor's Degree -
    • At least 7 years of software engineering or software development experience within the network security domain including the creation or evolution of network security tooling or automation of processes through the use of programming languages or shell scripts
    • At least 5 years of public cloud experience (AWS, GCP, Azure) -
    • At least 3 years of experience with Network Infrastructure Security EngineeringPreferred Qualifications:
      • Bachelor's or Master's Degree -in Computer Science or a related field
      • 12+ years of software engineering or software development experience within the network security domain including the creation or evolution of network security tooling or automation of processes through the use of programming languages or shell scripts
      • 7+ years of experience in building distributed systems and highly available services using cloud computing services (AWS, GCP, Azure)
      • 5+ years of experience with Network Infrastructure Security Engineering
      • Relevant industry certifications such as CCIE/CCDE, CISSP, AWS or GCP professional network or security certifications?Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the -. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Keywords: Capital One, Baltimore , Lead Machine Learning Engineer, Bank Tech, Engineering , Fredericksburg, Maryland