We are a fast-growing AI startup, driving innovation with advanced AI solutions that are transforming industries. As we expand, we are seeking a skilled DevOps Engineer to join our team. In this equity-only role, you’ll play a key part in building and maintaining the infrastructure that powers our cutting-edge AI technologies.
Position Overview
As a DevOps Engineer, you will be responsible for managing the cloud infrastructure, automating deployment pipelines, and ensuring the scalability and security of our systems. This is an opportunity to work with a passionate team and make a significant impact on our rapidly growing AI platform.
Responsibilities
- Design, build, and maintain scalable cloud infrastructure to support AI models and services.
- Automate and streamline deployment processes using CI/CD tools.
- Monitor system performance, troubleshoot issues, and ensure system reliability and security.
- Collaborate with engineering teams to optimize development pipelines and ensure smooth deployments.
- Manage containerization (Docker, Kubernetes) and orchestration for high-availability services.
- Implement best practices for monitoring, logging, and alerting across systems.
- Ensure systems are scalable, secure, and performant in cloud environments.
- Contribute to ongoing improvements and innovations in infrastructure management.
Qualifications
- Strong experience with cloud platforms (AWS, Google Cloud, or Azure) and managing cloud-based infrastructure.
- Proficiency in CI/CD tools (Jenkins, GitLab CI, CircleCI, or similar).
- Hands-on experience with Docker, Kubernetes, or other containerization and orchestration tools.
- Knowledge of infrastructure-as-code (e.g., Terraform, CloudFormation).
- Solid scripting skills (Bash, Python, etc.) for automation and system management.
- Familiarity with monitoring tools like Prometheus, Grafana, or similar.
- Strong understanding of system security, networking, and performance optimization.
- Excellent problem-solving skills and a collaborative mindset.
Nice-to-Haves
- Experience in supporting machine learning workflows or AI-focused environments.
- Familiarity with MLOps tools and workflows.
- Prior experience in a startup or equity-based roles.
Why Join Us?
- Work on the cutting edge of AI technology with a passionate and driven team.
- Gain valuable equity in a rapidly growing startup with potential for significant growth.
- Be part of a collaborative and innovative work environment, with the flexibility of remote work.
- Make a direct impact on the infrastructure that powers AI solutions making waves in the industry.
Interested in Building the Future? If you’re a skilled DevOps Engineer looking to join an exciting AI startup and earn equity in a high-potential company, we’d love to hear from you. Apply now and help us scale our innovative AI technologies!