Staff Back-End Engineer

📍 United States

USD 156,000-215,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API @ 4 AWS Azure Communication @ 7 GCP GraphQL @ 3 Microservices @ 4 Node.js @ 7 Performance Optimization @ 4 Security TypeScript @ 6

Details

SentinelOne is seeking a Staff Back-End Engineer to build backend infrastructure for its AI security product. The role focuses on monitoring AI assets, assessing risks, delivering actionable insights, enforcing security policies, and ensuring safe and compliant AI deployment.

Responsibilities

Design, develop, and maintain scalable server-side applications and APIs.
Implement and optimize database schemas, queries, and data storage solutions.
Collaborate with frontend developers to integrate user-facing elements with server-side logic.
Participate in code reviews and contribute to architectural decisions.
Troubleshoot, debug, and upgrade existing systems.
Implement security and data protection measures.
Work with cloud services such as AWS, Azure, or GCP to deploy and manage backend services.
Contribute to the development of microservices architecture.
Stay current with emerging backend technologies and industry best practices.

Requirements

8+ years of backend development experience with Node.js and TypeScript.
Experience with database management.
Experience developing and integrating APIs, including designing and building RESTful APIs.
Familiarity with GraphQL is a plus.
Experience designing and implementing microservices.
Experience with scalability and performance optimization, including caching strategies, message queues, and large-scale distributed architectures.
Experience implementing authentication, authorization, and data protection mechanisms.
Strong problem-solving skills.
Strong communication and collaboration skills.