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. If you love shipping, iterating, and making things work - this role is for you. Position Description 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 are 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. Position Responsibilities As a Staff Cyber Software Engineer, you will: • 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 DevOps 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. Qualifications • 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 (GitHub Actions, Jenkins) and deploying infrastructure with Terraform or Ansible. • Security Domain Familiarity (Preferred): Exposure to SIEMs, EDRs, vulnerability scanners, or security automation tooling; DevSecOps experience is a plus. • AI/ML & LLM Experience (Plus): Working knowledge of AI/ML development, applied experience with LLMs or generative AI, and an eye for where these capabilities can add real value. • Communication: Clear, concise written and verbal communication; able to articulate technical trade-offs and work effectively with teammates and stakeholders. Experience • 8+ years of professional software development experience, with strong Python production experience required. • 6+ years building backend systems, platform tooling, security automation, or similar. • 4+ years working in cloud-native environments (AWS, Azure, or GCP). • 3+ years delivering within agile teams in a high-velocity environment. • Golang (in addition to Python) hands-on development experience is a strong differentiator. • Experience with AI/ML development, LLMs, or generative AI tooling is a meaningful plus. • Security engineering, DevSecOps, or cybersecurity tooling experience is a plus. • Experience working with audit or compliance teams is a plus. Education • Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or a related field (or equivalent practical experience). Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position.