
201 - 500 employees
Founded 2013
☁️ SaaS
🤖 Artificial Intelligence
🏢 Enterprise
SaaS • Artificial Intelligence • Enterprise
ScyllaDB is a high-performance distributed NoSQL database company. ScyllaDB provides a close-to-the-metal architecture and a cloud DBaaS (ScyllaDB Cloud) and enterprise offerings designed for data-intensive applications requiring predictable single-digit millisecond latencies, very high throughput, and massive scale (millions of ops, billions of embeddings, petabytes of storage). It positions itself as a replacement for Cassandra and DynamoDB, offers features like vector search and feature-store capabilities for real-time AI workloads, and provides tooling such as shard-aware drivers, Kubernetes operator, monitoring, and change-data-capture.
🕒 September 2
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Java
JavaScript
Kubernetes
Linux
Node.js
NoSQL
Python
React
SQL
TypeScript
Go
Where this job comes from
Posted on ScyllaDB's careers page, not through a job board
First seen by Remote Rocketship September 2
Still open on ScyllaDB's site. Checked 2 hours ago.

201 - 500 employees
Founded 2013
☁️ SaaS
🤖 Artificial Intelligence
🏢 Enterprise
SaaS • Artificial Intelligence • Enterprise
ScyllaDB is a high-performance distributed NoSQL database company. ScyllaDB provides a close-to-the-metal architecture and a cloud DBaaS (ScyllaDB Cloud) and enterprise offerings designed for data-intensive applications requiring predictable single-digit millisecond latencies, very high throughput, and massive scale (millions of ops, billions of embeddings, petabytes of storage). It positions itself as a replacement for Cassandra and DynamoDB, offers features like vector search and feature-store capabilities for real-time AI workloads, and provides tooling such as shard-aware drivers, Kubernetes operator, monitoring, and change-data-capture.
• Own cloud features end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support • Utilize advanced AI coding assistants and AI-driven workflows to design, code, debug, and deliver robust software • Build and maintain scalable APIs and responsive, intuitive user interfaces • Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance • Design, write, and execute unit, integration, and end-to-end test suites • Participate in monitoring, troubleshooting, and supporting delivered features in cloud environments • Collaborate with Product and UX teams to turn concepts into user-friendly customer experiences • Lead sophisticated projects from requirements and design through implementation, testing, and production delivery
• Hands-on experience and comfort using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate coding, debugging, refactoring, and test creation • Strong practical experience in both frontend (e.g., React, JavaScript/TypeScript) and backend development (e.g., Go, Node.js, Python, or Java) • Familiarity with at least one major public cloud platform (AWS, GCP, or Azure) • Familiarity with relational and NoSQL databases • Excellent written and verbal English communication skills • Ability to document solutions and collaborate effectively • Strong problem-solving ability • Autonomous drive to research, troubleshoot, and see tasks through to production • Familiarity with distributed systems, NoSQL databases, or Database-as-a-Service (DBaaS) architecture • Experience with Linux environments, containerization (Docker/Kubernetes), and modern CI/CD pipelines • Demonstrated history of building and shipping end-to-end personal projects or open-source contributions using AI-first workflows
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 May 20
Applied AI Engineer developing and optimizing large neural network models at an AI company pioneering enterprise decision-making. Collaborating with ML researchers and ensuring model performance in production.