1 day ago
Bethesda, MD, USAStaff+
Base Salary
$130k - $260k/yr
Responsibilities
- Own technical architecture and direction for a medium-to-large cross-functional product or platform capability area.
- Lead multi-team technical roadmaps, align priorities, surface tradeoffs, and drive adoption of reusable platforms, patterns, and standards.
- Design and deliver scalable software, AI-augmented workflows, intelligent services, and enterprise integrations.
- Define and advance automated testing strategies across unit, contract, integration, end-to-end, and performance testing.
- Use AI to accelerate test creation, maintenance, coverage analysis, failure clustering, root-cause analysis, synthetic data generation, and visual or regression testing with appropriate human review and governance.
- Evaluate and implement high-value AI, intelligent automation, RAG, agentic, classical ML, rules-based, and hybrid enterprise use cases.
- Ensure solutions meet standards for reliability, security, observability, operability, evaluation, regression testing, safety, and governance.
- Coach Staff and Senior engineers, sponsor communities of practice, support continuous improvement, and communicate technical strategy to technology and business leaders.
Requirements
- 10+ years of full-stack development experience using Java, C#, Python, or Go, with client-side and server-side framework expertise.
- 6+ years of experience with architecture and technical direction across multiple teams.
- 2+ years of production experience shipping LLM, generative AI, applied AI, or intelligent automation, or demonstrable ownership of AI-enabled platform capabilities.
- Extensive experience architecting and building large-scale SaaS platforms and microservices using API-driven and event-driven patterns.
- Experience with GraphQL, gRPC, Kafka, Docker, Kubernetes, and AWS, GCP, Azure, or another major cloud provider.
- Deep hands-on expertise in test engineering, automated testing across the test pyramid, test data management, shadow validation, and AI-assisted testing or test-platform acceleration.
- Experience with production engineering practices including OAuth, SAML, Active Directory, observability, security, AI evaluation, regression testing, safety, and governance.
- Experience with SQL, NoSQL databases, AI services, model APIs, orchestration tooling, and durable observable workflows such as Temporal or Fable.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
- Strong technical leadership, architecture ownership, stakeholder communication, mentoring, standards adoption, and judgment regarding appropriate AI technologies.
Benefits
- Hybrid work arrangement.
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture rooted in shared success.
- Benefits and flexibility intended to support employee well-being and future needs.
Tech Stack
Categories
About GEICO
GEICO sells auto and other personal lines insurance to U.S. consumers through a primarily direct-to-consumer model via web, mobile, and phone, with some local agents. Its products include car, motorcycle, RV, boat, homeowners, renters, condo, umbrella, and commercial auto coverage, plus roadside assistance. Founded in 1936 and headquartered in Bethesda, Maryland, GEICO is a subsidiary of Berkshire Hathaway and is among the largest auto insurers in the United States.