About Us
SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
About the Role
We are looking for a DevOps Engineer with 2–3 years of hands-on experience to help build, deploy, and maintain scalable and reliable infrastructure. The ideal candidate will work closely with development, QA, and product teams to streamline CI/CD pipelines, improve system reliability, and automate operational processes.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment
- Manage and monitor cloud infrastructure (AWS / Azure / GCP)
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
- Deploy and manage applications using Docker and Kubernetes
- Monitor system performance, availability, and security
- Troubleshoot production issues and participate in incident management
- Implement logging, monitoring, and alerting solutions
- Ensure best practices for security, scalability, and reliability
- Collaborate with engineering teams to improve deployment efficiency
Required Skills & Qualifications
- 2–3 years of experience in DevOps / Cloud / SRE roles
- Strong experience with Linux/Unix systems
- Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Argo CD)
- Experience with cloud platforms (AWS preferred: EC2, S3, IAM, VPC, RDS)
- Proficiency in Docker and advanced knowledge of Kubernetes
- Experience with Infrastructure as Code (Terraform / CloudFormation / ARM)
- Familiarity with version control systems (Git)
- Basic scripting skills (Shell, Python, or Bash)
Good to Have
- Experience with monitoring tools (Prometheus, Grafana, ELK)
- Knowledge of security best practices and DevSecOps
- Exposure to microservices architecture
- Certifications: AWS Certified DevOps Engineer / Solutions Architect (Associate)