Staff Backend Engineer, AI Platform
Nightfall AI2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Build highly available and secure authentication and API services.
- Maintain and evolve mission-critical internal databases and services.
- Architect, optimize, and operate high-volume, auto-scaling, reliable real-time data infrastructure and services.
- Optimize AI services to scale models for low-latency, real-time inference.
- Build observability at scale for detailed insights into customer usage and performance.
- Write and maintain documentation for internal and public services.
- Decompose complex business problems and lead a team in solving them.
Requirements
- Expertise in one or more systems or high-level programming languages such as Go, Java, Python, or C++.
- Experience running scalable systems handling thousands of requests per second with three-nines reliability.
- Experience developing complex software systems that scale to substantial data volumes or millions of users, including production-quality deployment, monitoring, and reliability.
- Experience with large-scale distributed storage and database systems, including SQL or NoSQL databases such as Postgres or Cassandra.
- Experience building and maintaining large-scale or real-time complex data-processing pipelines using technologies such as Kafka, Flink, Snowflake, or Databricks.
- Eight or more years of experience with proven technical leadership and expertise in scalable, distributed architectures.
- Experience with real-time ML inference or building agentic AI systems at scale is preferred.
Tech Stack
Categories
About Nightfall AI
Nightfall AI builds an AI-native data loss prevention platform that discovers, classifies, and protects sensitive data across SaaS apps, endpoints, email, cloud, and generative AI tools for security teams. It sells subscription software and APIs to enterprises to detect leaks and automate remediation and insider-risk controls. Founded in 2018 and headquartered in San Francisco, the privately held company raised a Series B in 2022 and focuses on cloud and AI data security.