Who We Are
Company Overview
PhnyX Lab is an early-stage startup led by cofounders from Stanford and McKinsey and backed by SK Networks, a leading force within Korea's second-largest conglomerate, SK, which boasts a valuation exceeding $300 billion. At PhnyX Lab, we help businesses leverage AI technology to revolutionize productivity. With a special focus on RAG (Retrieval Augmented Generation), we target high-value industries such as pharmaceutical, legal, and finance, offering modularized RAG technologies to deliver customized solutions for clients.
LinkedIn: https://www.linkedin.com/company/phnyx-lab/
News: Korea Joongang, Korea Biomedical Review
Key Responsibilities
Cloud Engineering & Deployment
- Architect, deploy and maintain secure, scalable cloud environments capable of supporting 1,000+ concurrent users and high-traffic demands.
- Develop replicable VPC architectures tailored for individual enterprise clients, ensuring seamless and secure deployment.
- Implement advanced autoscaling strategies to handle dynamic workload requirements.
- Oversee teams of forward-deployed engineers embedded at client companies, ensuring successful and secure deployment of tailored solutions.
- Build and optimize model-serving pipelines with an emphasis on efficiency, autoscaling, and low-latency performance.
DevOps & Backend Infrastructure
- Ensure production-grade code readiness with a focus on security, performance, and operational integrity.
- Manage and optimize databases (e.g., PostgreSQL, Milvus) for efficient query handling, sharding, and secure credential management.
- Enhance logging, metrics, and observability systems to support real-time monitoring and troubleshooting.
Key Skill Sets
General Qualifications (Required)
- Bachelor’s or Master’s degree in Computer Science, or a related field.
- 2+ years of proven experience in cloud architecture, network systems, and scalable infrastructure development.
- Strong understanding of major cloud service providers, especially AWS.
- Excellent problem-solving and communication skills and the ability to work in a dynamic, fast-paced environment.
Cloud Engineering & Deployment (Required)
- Extensive experience in cloud engineering with a focus on the deployment of large-scale applications.
- Expertise in Kubernetes, Docker, and other relevant tools, with a strong emphasis on secure and reliable cloud environments.
- Advanced knowledge of network architecture and VPC design for multi-tenant, enterprise-grade solutions.
- Proven experience handling autoscaling and building systems to manage dynamic traffic spikes.
DevOps & Backend Infrastructure (Highly Recommended)
- Solid experience in DevOps practices, including CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation).
- Proficiency in database management and sharding for large-scale data systems.
- Familiarity with observability tools (e.g., Prometheus, Grafana, ELK stack) for performance monitoring and debugging.
The compensation for this full-time position is between 140k - 350k including bonus. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training.
