Hybrid Staff Software Engineer – Hybrid

at GEICO

• Job title: Staff Software Engineer – Hybrid
• Job type: Full Time
• Experience level: Lead
• Salary: $100,000 - $230,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, Google Cloud Platform, Java, JavaScript, Neo4j, Node.js, Python, React, SCSS, TypeScript
• Location requirements: Hybrid, Chevy Chase, United States

About the role

• Staff Software Engineer developing enterprise-scale knowledge graph platforms and content generation systems at GEICO. Collaborating with cross-functional teams to enhance customer experiences through technology.

Responsibilities

• Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence.
• Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale.
• Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing.
• Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns.
• Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise.
• Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms.
• Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights.
• Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions.
• Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices.
• Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms.

Requirements

• Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms.
• Full-stack developer with extensive experience in modern front-end frameworks (React, TypeScript), web technologies (JavaScript, HTML, CSS/SASS), backend languages (Node.js, Python, Java), and cloud platforms (Azure, AWS, GCP).
• Strong ability to architect distributed semantic systems and graph-based microservice architectures that handle complex data relationships and scale reliably.
• Experience with knowledge graphs, semantic technologies, and AI/ML platforms such as Neo4j, Apache Jena, TigerGraph, or similar graph databases, along with NLP frameworks and content generation models.
• Familiarity with semantic web standards (RDF, OWL, SPARQL), ontology design, knowledge representation, and automated reasoning systems.
• Deep understanding of content management ecosystems, headless CMS architectures, API-driven publishing workflows, and content delivery optimization.
• Experience with AI/ML frameworks for natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data.
• Product mindset and passion for building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding.
• Excellent collaboration and communication skills with ability to explain complex semantic concepts to technical and non-technical stakeholders.
• In-depth knowledge of CS data structures, algorithms, particularly graph algorithms, semantic matching, and distributed system design patterns.
• Experience with MLOps, data pipeline orchestration, and real-time semantic data processing at scale.
• 6+ years of professional software development experience building full-stack web applications, data platforms, or knowledge management systems.
• 4+ years of experience with system architecture and design, particularly in semantic data systems, graph databases, or AI-powered content platforms.
• 4+ years of experience with cloud platforms (AWS, GCP, Azure) including graph database services, ML platforms, and distributed semantic processing.
• 2+ years of hands-on experience with knowledge graphs, semantic technologies, or AI-driven content generation systems.
• Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or equivalent work experience with demonstrated expertise in semantic technologies.

Benefits

• Compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.