Technical Support Engineer (L2)
Runpod · Remote · Remote - USA ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Weekend availability required
- 5+ years support experience
- Linux & Docker expertise
- No visa sponsorship
As a Technical Support Analyst at Runpod, you will provide advanced assistance to customers using the AI Developer Cloud. You will troubleshoot critical issues related to GPU servers, model deployment, and system performance, ensuring stability for over a million developers.
The role requires deep technical analysis using logs, code, and diagnostic tools. You will bridge the gap between customers and internal engineering teams, contributing to product improvements and maintaining technical documentation.
What you'll do
- Troubleshoot complex technical issues involving configuration, performance, and code errors
- Analyze logs and software code to identify root causes and implement fixes
- Collaborate with engineering and infrastructure teams to resolve GPU server issues
- Provide support via email, phone, chat, and video calls
- Create and maintain knowledge base articles, FAQs, and technical guides
- Relay customer feedback to product and engineering teams for improvements
- Assist customers with software installation, setup, and customization
What you'll need
- At least 5 years of professional experience in technical customer support
- Minimum 2 years in software engineering/development or network administration
- Bachelor's degree in Computer Science or equivalent professional experience
- Proficiency with Linux server versions, SSH, and terminal commands
- Knowledge of Docker containerization and deployment processes
- Ability to read and understand Python code, logs, and error traces
- Familiarity with SQL databases like MySQL and PostgreSQL
- Understanding of network protocols including TCP/IP, HTTP/HTTPS, and DNS
- Familiarity with applied AI use cases such as inference and fine-tuning
Nice to have
- Proficiency in Django, Flask, PyTorch, JavaScript, or Go
- Experience deploying and managing AI/ML models as services or APIs
- Hands-on experience with full-stack development
- Deep understanding of machine learning training and inference processes
- Experience with Datadog, Grafana, or CRM tools
Stack
- Python
- Linux
- Docker
- SQL
- Datadog
- Grafana
- Django
- Flask
- PyTorch
- JavaScript
- Go
How you'll work
- Fully remote work environment
- Weekend availability required per business needs
- Slack used for internal communication
What you get
- Competitive base pay between $70,000 and $93,000 USD
- Meaningful equity and stock options for all team members
- Generous medical, dental, and vision plans
- Flexible paid time off policy
- $1,200 USD home office and equipment stipend