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Principal Engineer - Cyber Engineer

GEICO

Engineering & Technology

IT & Telecoms Confidential
1 month ago

Job Summary

GEICO is seeking an experienced Principal Engineer with a passion for building high performance, enterprise security capabilities and applications. You will help drive our insurance business transformation and security engineering domain modernization as we redefine secure experiences for our customers.

  • Minimum Qualification: Degree
  • Experience Level: Mid level
  • Experience Length: 3 years

Job Description/Requirements

Responsibilities:
  • Provide technical and thought leadership to the enterprise
  • Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest security and automation problems
  • Develop and execute technical software development strategy for the Security Engineering domain
  • Accountable for the quality, usability & performance of the solutions
  • Deep hands-on experience in complex system design and data pipeline and architectures, scale, performance, and tuning,
  • Fluent at least two object-oriented programming languages among Java, Go, python, C++, etc.
  • Good knowledge for two of the following languages: C, PHP, Perl, Ruby, Javascript,shell script, etc.
  • Understand open-source security products like Security Onion, Snort, Osquery, IDS/IPS, OpenVAS, Defect Dojo, Zabbbix, Grafana, CloudSploit, Suricata etc.
  • Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives.
  • Consistently share best practices and improve processes within and across teams.
  • Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, demonstrate adaptability and sponsor continuous learning.


Qualifications:

  •  Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap.
  • Experience partnering with engineering teams and transferring research to production.
  • Experience with continuous delivery and infrastructure as code.
  • In-depth knowledge of CS data structures and algorithms.
  • Experience solving analytical problems with quantitative approaches.
  • Ability to excel in a fast-paced, startup-like environment.
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, test automation and related tools, operations, real-time communication).
  • Knowledge in ML and AI technologies 


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