5 дней назад
Staff Software Engineer (AI) - Hybrid
110 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI/Cloud): Designing and building scalable, resilient distributed systems and high-performance platforms for GEICO’s digital customer experience with an accent on cloud architecture, microservices, reliability, and Generative AI/LLM applications. Focus on architecting Azure-based systems, improving development efficiency, mentoring engineers, and solving complex availability, security, and scalability challenges.
Location: Hybrid in Palo Alto, California, United States
Annual salary: $110,000–$230,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies, developing technology platforms for its digital customer experience.
What you will do
- Scope, design, and build scalable and resilient distributed systems.
- Contribute across the full software development lifecycle and collaborate with cross-functional teams.
- Lead design sessions, participate in code reviews, and establish engineering best practices.
- Define products and drive technical decisions for the right business solutions.
- Mentor junior engineers and improve development efficiency using AI.
- Use cloud, container orchestration, programming languages, databases, and Azure services to deliver reliable platforms.
Requirements
- 8+ years of non-internship professional software development experience.
- 6+ years of architecture and design experience, including reliability, scaling, and design patterns.
- At least 4 years of experience with Azure, AWS, GCP, or another cloud service.
- Strong knowledge of modern programming languages, data structures and algorithms, microservices, REST APIs, databases, and application security.
- Experience with Azure networking, PaaS/IaaS, DevOps concepts, deployment, monitoring, root cause analysis, and enterprise design documentation.
- At least 1 year of experience with Generative AI/LLM-based applications and agentic systems.
Nice to have
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
- Experience with open-source frameworks and datacenter technologies.
Culture & Benefits
- Inclusive, collaborative culture focused on shared success and psychological safety.
- Personalized development programs, mentorship, and certification assistance.
- Competitive compensation, benefits, and flexibility supporting employee well-being.
- Focus on continuous improvement, innovation, and engineering excellence.
Hiring process
- Employment authorization sponsorship may be considered for a qualified new applicant.
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