Backend Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Software Engineer (AI): Building highly available and secure authentication and API services for a data loss prevention and insider risk management platform with an accent on low latency, real-time microservices that process & detect sensitive data at scale. Focus on optimizing high volume auto-scaling streaming data services and instrumenting them for visibility into utilization per customer.
Location: Bengaluru
Company
is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more.
What you will do
- Build highly available and secure authentication and API services.
- Maintain and evolve mission-critical internal databases and services.
- Optimize and operate high volume auto-scaling streaming data services.
- Instrument streaming data services for visibility into utilization per customer.
- Write and maintain documentation about internal and public services.
Requirements
- Expertise in one or more systems/high-level programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more.
- Experience running scalable (thousands of RPS) and reliable (three 9’s) systems.
- Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring, and reliability.
- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra)
- Ability to decompose complex business problems and lead a team in solving them
- Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper
Culture & Benefits
- takes pride in being an equal-opportunity employer.
- Value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team.
- Hiring decisions are based exclusively on merit, qualifications, and business needs.
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