Cyber Software Engineer

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.

As a Staff Cyber Software Engineer, you will be a key technical contributor on the Cybersecurity Engineering & Analytics team — writing and owning production‑grade software that powers security automation, detection pipelines, and cyber hygiene capabilities. You bring deep, applied Python expertise (required) and ideally Golang experience (preferred), strong object‑oriented engineering fundamentals, and a relentless drive to solve problems through automation and elegant code.

You’re self‑directed, productive in an agile team, and passionate about the craft of software development. Experience with AI/ML and a working understanding of LLMs is a meaningful differentiator.

• 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 &…