Cyber Software Engineer

Position Description

GEICO's Cybersecurity Security Engineering & Analytics, Automation (SEA) team is seeking a Staff Cyber Software Engineer – a hands‑on, passionate builder who is energized by solving hard problems and writing software that matters. This is a strong individual contributor role for someone who takes pride in their craft, thrives in a high‑velocity agile environment, and finds deep satisfaction in delivering automation, building resilient systems, and making security capabilities faster and smarter through code.

• Write and Own Production Code:
  Design, develop, test, and maintain high‑quality software in Python (required) and Golang (preferred) that enables cybersecurity capabilities and drives security outcomes at enterprise scale.
• Build Security Automation:
  Identify manual, repetitive, or error‑prone security workflows and replace them with reliable, well‑tested automation – reducing toil and increasing the speed and consistency of security operations.
• Apply Strong Object‑Oriented Engineering:
  Write clean, maintainable, and testable code using proven OOP design patterns and SOLID principles; take ownership of code quality, test coverage, and the long‑term health of what you build.
• Solve Hard Problems:
  Dig into complex technical and security challenges – from detection pipeline performance to data ingestion at scale – and deliver well‑reasoned, pragmatic solutions that hold up in production.
• Contribute Actively in Agile:
  Be a reliable, high‑output contributor in a fast‑moving agile squad: write code every sprint, participate in design discussions, engage in code reviews, and help the team move forward with quality and speed.
• Build Scalable, Reliable Systems:
  Develop services and pipelines that are secure, fault‑tolerant, and performant – built with distributed systems best practices and cloud‑native infrastructure in mind.
• Integrate with Dev Ops Tooling:
  Embed software within CI/CD pipelines, infrastructure‑as‑code tooling (Terraform, Ansible), and instrument work with observability platforms (Grafana, Prometheus).
• Leverage Open Source:
  Evaluate, adopt, and integrate open‑source frameworks, security libraries, and tooling to accelerate delivery and avoid reinventing the wheel.
• Explore AI/ML & LLMs (Plus):
  Apply knowledge of AI/ML development, large language models (LLMs), or generative AI to identify practical opportunities that accelerate security workflows, automate threat analysis, or improve detection capabilities.
• Share Knowledge:
  Participate in code reviews, contribute to technical discussions, and share what you know – not as a formal leadership obligation, but because great engineers make the people around them better.

• Python Expertise (Required):
  Demonstrated enterprise‑level Python development with strong OOP fundamentals. This is a non‑negotiable requirement for consideration.
• Golang Proficiency (Preferred):
  Hands‑on Golang development experience in systems, backend services, or tooling contexts.
• Object‑Oriented Design:
  Deep, applied knowledge of OOP design patterns, SOLID principles, and clean architecture – demonstrated through real production code, not theory.
• Passion for Automation:
  Track record of identifying opportunities to automate workflows, eliminate toil, and build tools that scale – and the initiative to go build them.
• Agile Team Contributor:
  Proven ability to deliver consistently within a high‑velocity agile team; comfortable with continuous delivery, iterative development, and a fast feedback cycle.
• Distributed Systems & Pipelines:
  Experience building and operating distributed systems, data ingestion pipelines, and scalable backend services.
• Cloud Proficiency:
  Hands‑on experience with AWS, Azure, or GCP and cloud‑native services.
• CI/CD & Infrastructure as Code:
  Experience building and maintaining pipelines (Git Hub Actions, Jenkins) and deploying infrastructure with Terraform or Ansible.
• Security Domain Familiarity (Preferred):
  Exposure to SIEMs, EDRs, vulnerability scanners, or security automation tooling;
  Dev Sec Ops  experience is a plus.
• AI/ML & LLM Experience (Plus):
  Working knowledge of AI/ML development, applied experience…