24 часа назад
Backend Software Engineer (AI)
135 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Software Engineer (AI): Building reliable and scalable data platform services, including real-time API integrations, Kafka streaming systems, and Spark and Airflow pipelines, with an accent on distributed systems and cloud infrastructure. Focus on designing production-facing backend services, translating product requirements into durable platform architectures, and building foundational systems for an AI-native security platform.
Location: San Francisco, CA; hybrid with office attendance three days a week
Salary: $135,000–$250,000 per year, plus potential restricted stock units, sign-on bonus, and other incentives
Company
is an AI-native cybersecurity company building a human behavior platform that detects employee risk, delivers personalized interventions, and reduces human-related security threats.
What you will do
- Build and own reliable, maintainable, and scalable production-facing backend services.
- Develop real-time API integrations and data services that power the application layer.
- Build and operate Kafka-based streaming systems, Spark jobs, and Airflow data pipelines.
- Translate product and customer requirements into durable platform designs.
- Make thoughtful technical tradeoffs and design infrastructure that anticipates future product needs.
Requirements
- 3+ years of backend software development experience.
- Experience designing, implementing, and owning production-facing services.
- Experience with relational database backends, Django, or similar technologies.
- Experience building distributed systems and backend services.
- Experience with AWS, Terraform, EKS, and cloud systems.
- Strong desire to join an early team and create foundational systems.
Nice to have
- Experience building and integrating with external APIs.
- Experience building ETL and data pipelines.
Culture & Benefits
- Hybrid collaboration from the San Francisco office three days a week.
- Culture focused on mutual trust, high execution, and differentiated product experiences.
- AI-powered development practices are used to improve speed and quality.
- Engineers have a key role in shaping the company’s success.
- Total compensation may include restricted stock units, a sign-on bonus, and other future incentives.
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