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Cyble · 7 months ago

Backend-AI Engineer

United States

Full-time

Remote

Senior Level

$1,500K/yr - $3,000K/yr

6+ years exp

Cyble is a global cybersecurity leader focused on proactive cyber defense. They are seeking a Backend-AI Engineer to design and implement core backend services that process security-related data streams and APIs, ensuring reliability and scalability.

Artificial Intelligence (AI)Cloud SecurityCyber SecurityRisk ManagementSoftware

Growth Opportunities

No H1B

Responsibilities

Design, build, and maintain microservices and REST/gRPC APIs using Node.js (TypeScript) or Python

Implement data ingestion pipelines from multiple external feeds and log sources

Develop processing layers for normalization, enrichment, and secure storage

Expose and document API endpoints for downstream consumers

Integrate with message queues or streaming platforms (Kafka, RabbitMQ, AWS SNS/SQS)

Work with relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Elasticsearch) databases

Collaborate on authentication, authorization, encryption, and audit logging

Containerize services with Docker and deploy via Kubernetes or similar orchestration

Build CI/CD pipelines and implement automated testing (unit, integration)

Monitor performance and reliability; perform load testing, profiling, and tuning

Partner with cross-functional teams (frontend, DevOps, product) to translate requirements into clean, maintainable code

Maintain clear documentation and adhere to best practices in version control and code reviews

Enforce secure coding standards, data privacy, and compliance controls throughout the development lifecycle

Perform threat modeling and code audits as part of feature delivery

Qualification

Node.jsPythonDockerKubernetesPostgreSQLMicroservices architectureRESTful APIsGRPC APIsMessage queuesAgile/ScrumCommunication skills

Required

5+ years of professional backend engineering experience

Proficient in one or more of: Node.js with TypeScript, Python (FastAPI, Flask, Django)

Strong understanding of microservices architecture, Docker, and Kubernetes

Experience designing and consuming RESTful and/or gRPC APIs

Familiarity with message-queue or streaming systems (Kafka, RabbitMQ, AWS SNS/SQS)

Solid database skills (SQL and/or NoSQL) with attention to data modeling and indexing

Proven ability to write clear, testable, and maintainable code

Comfortable working in Agile/Scrum teams with strong communication skills

Preferred

Exposure to the cybersecurity domain or security data processing

Experience with observability stacks (Prometheus, Grafana, ELK)

Cloud-native expertise (AWS, GCP, Azure)

Familiarity with workflow/orchestration engines (Temporal, Airflow)

Hands-on experience integrating and working with large language model (LLM) tools and services (e.g., ChatGPT, Claude, Cursor, LangChain, self-hosted models)

Contributions to open-source or developer-tooling initiatives