Software Engineer, Vulnerability Management; HYBRID

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.

GEICO is seeking an experienced full-stack engineer with a deep technical expertise and passion for building high-performance, low maintenance, zero-downtime, and highly scalable systems. The ideal candidate has a proven track record of design, development, and implementation of scalable solutions in hybrid environments using commercial and open-source products, preferably in Cybersecurity domain. This role will be responsible for leading enterprise initiatives and collaboration with cross-functional teams as well as designing and implementing secure and scalable solutions to drive Vulnerability Management initiatives.

As a Staff Engineer, you’re not just a technical expert—you’re a lead, a problem solver, an innovator who thrives in a fast-paced, constantly evolving environment. You will turn complex security challenges into elegant, practical solutions while fostering collaboration across teams and stakeholders. You have exposure to Cybersecurity and Vulnerability Management Lifecycle - asset discovery, internal/external scans, contextualization and risk-based assessment, security data pipeline, reporting, and remediation.

Staff Engineer works closely with infrastructure, development, product, and other organizations across GEICO from design through deployment to sustainable operations. The Staff Engineer brings in expertise in requirements identification, feasibility analysis, system designs, technology evaluation and selection, development, unit/integration testing, deployment, and operation of scalable systems using CI/CD and Dev Sec Ops  to raise the bar on engineering excellence.

• Lead software design, development, and delivery of integrated systems to drive Vulnerability Management initiatives.

• Deliver automation initiatives, conduct advanced research, and develop proofs of concept to enhance our capabilities and improve overall efficiency.

• Achieve business outcomes through force multiplication.

• Develop, integrate, and maintain multilevel cybersecurity designs, architectures, policies, and procedures.

• Provide secure design guidance and recommendations to developers, infrastructure, and product engineers.

• Influence and educate partner teams to bring an engineering first approach to develop sustainable security systems.

• Mentor peers and team members in security technologies, enterprise solution design, deployment, and effective customer interaction.

• Provide motivating demonstrations and communications to show the value of our security measures to the business, highlighting the low impact on systems, improved operability and resiliency.

• Tech-lead with data engineering and software development experience in a hybrid environment (AWS, Azure, on-prem).

• Proficiency in at least one modern programming language (Python, Java, Scala, Go) and deep experience building scalable production-grade data services, APIs, or ingestion frameworks.

• Expertise in designing, building, and operating large‑scale, resilient, and high‑performance data pipelines across distributed systems, with strong knowledge of ETL/ELT patterns, data orchestration, and data quality frameworks.

• Advanced proficiency in modern data storage and processing technologies, including SQL/No
  
  SQL databases (e.g., Postgre
  
  SQL), query optimization, and data modeling for analytical and operational use cases.

• Hands‑on experience with reporting and analytics tools such as Power BI, Tableau, or equivalent, including developing semantic models, optimizing reporting datasets, and enabling business teams with curated data.

• Strong applied skills in distributed compute…