3 дня назад
Staff Software Engineer (AI-Native Platform)
148 600 - 198 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI-Native Platform) (AI/distributed systems): Building cloud-native platforms and production AI systems that enable multiple engineering teams to deliver intelligent real estate technology with an accent on distributed architecture, reusable platforms, and operational excellence. Focus on designing APIs and event-driven systems, improving AI evaluation and observability, optimizing latency and cost, and influencing technical strategy across organizations.
Location: USA, California, Santa Ana; remote work welcome
Salary: $148,600–$198,200 annually
Company
develops technology products and services that power the real estate industry.
What you will do
- Lead technical initiatives spanning multiple teams, products, and business domains.
- Define architecture for large-scale distributed systems, including APIs, event-driven systems, cloud infrastructure, reliability, security, and observability.
- Design and evolve AI development practices and support the creation of AI-powered products, including production AI systems and agentic workflows.
- Build reusable engineering platforms, frameworks, libraries, and patterns that improve development speed, quality, and consistency.
- Establish engineering standards for automated testing, continuous delivery, AI evaluation, operational excellence, incident response, resiliency, governance, and cost optimization.
- Mentor senior engineers and technical leaders while influencing decisions through technical expertise rather than direct authority.
Requirements
- 8+ years of experience designing and building production software systems, including large-scale technical initiatives.
- Deep experience with cloud-native distributed systems, software architecture, platform design, APIs, and highly available systems.
- Experience designing and operating production AI systems, including LLM-powered applications and agentic workflows.
- Experience creating shared platforms or infrastructure adopted by multiple teams and establishing organization-wide engineering standards.
- Understanding of AI evaluation, model selection, latency optimization, cost management, observability, governance, and safety.
- Strong communication, systems thinking, mentoring, and technical leadership skills.
Nice to have
- Experience with OpenAI, Azure OpenAI, Anthropic, or Databricks.
- Experience with C#/.NET, Python, TypeScript, Go, or Java.
- Experience with Kubernetes, Docker, Terraform, CDK, OpenTelemetry, Prometheus, Grafana, or Datadog.
- Experience with platform modernization, cloud migrations, or highly regulated industries such as financial services, insurance, or healthcare.
Culture & Benefits
- Inclusive, people-first workplace focused on individuality, collaboration, and continuous improvement.
- Medical, dental, and vision coverage based on eligibility.
- 401(k), PTO, paid sick leave, and an employee stock purchase plan.
- Equal opportunity employment and support for a diverse workforce.
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