DevOps Engineer
20 hours ago
SkyHighGrowth Inc. is a U.S.-based company with its headquarters located in New York. We are a dynamic and forward-thinking company that takes pride in pushing the boundaries of what's possible. At SkyHighGrowth Inc., we believe in fostering a culture of collaboration, creativity, and continuous growth. In our combined decades of experience delivering technology and business solutions, we developed a simple mantra: We perform complex operations so that our clients get simple solutions. If you're ready to embark on a rewarding journey with a company that values your contribution, this is the place for you. We are expanding our team and seeking a DevOps Engineer to join us.
What is the role about:
- Designing, building, and maintaining scalable cloud infrastructure using Terraform, AWS CloudFormation, and Kubernetes.
- Developing and maintaining automation scripts in Python for infrastructure provisioning and management.
- Implementing, managing, and optimizing CI/CD pipelines to streamline AI model deployment and software delivery.
- Setting up and maintaining infrastructure specifically tailored for AI and ML workloads, including GPU orchestration and distributed computing environments.
- Ensuring the security, performance, and reliability of cloud environments, especially for AI-driven applications.
- Collaborating with AI/ML teams to optimize cloud resources for model training and inference at scale.
- Monitoring, troubleshooting, and optimizing cloud-based applications and services for performance, scalability, and cost efficiency.
- Staying updated with the latest industry trends, AI Ops methodologies, and cloud technologies.
- Proven experience as a DevOps Engineer with expertise in cloud infrastructure automation.
- Good knowledge of Terraform, CloudFormation, Kubernetes, and containerization technologies (Docker, EKS, GKE, AKS).
- Hands-on experience with AWS services, including EC2, S3, Lambda, IAM, RDS, and AI/ML-related services (SageMaker, Batch, EKS, etc.).
- Solid scripting and automation skills in Python, Bash, or Golang.
- Experience in AI Ops and setting up cloud infrastructure for AI/ML workloads is a huge plus.
- Moderate understanding of CI/CD pipelines and experience with tools like GitHub Actions, Jenkins, ArgoCD, or GitLab CI/CD.
- Knowledge of cloud security, networking, and compliance best practices.
- Ability to troubleshoot and resolve issues in a complex, distributed cloud environment.
- Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment.
- AWS Certified DevOps Engineer - Professional certification.
- Experience with MLOps and AI-related cloud architectures.
- Familiarity with observability tools like Prometheus, Grafana, ELK, or Datadog.
- Competitive pay and salary growth based on your performance.
- Flexible working hours and remote setup.
- Dynamic working culture with opportunities to grow.
- Challenging projects with cutting-edge AI and cloud technologies.
- 100% paid sick leave.
- Friendly colleagues and a pleasant working atmosphere.
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