Cloud Infrastructure Specialist

3 weeks ago

New York, New York, United States Artian AI Full time

About Artian AI

Artian AI is an innovative AI SaaS startup based in New York, focused on building industry-leading AI Agents-based automation solutions to empower businesses, especially starting in financial services.

We are a fast-growing startup leveraging the latest in AI and machine learning to deliver scalable, intelligent automation. As we rapidly scale, we're looking for a talented Cloud DevOps Engineer to help optimize and secure our infrastructure while ensuring continuous delivery of high-quality software.

Job Summary:

As a Cloud DevOps Engineer, you will play a critical role in designing, implementing, and maintaining our cloud infrastructure. You will work closely with the software engineering and AI/ML teams to automate deployments, monitor performance, and ensure security and scalability.

Key Responsibilities:

  • Design, build, and maintain scalable, secure, and high-performance cloud infrastructure (AWS/Azure/GCP).
  • Automate infrastructure management using Infrastructure-as-Code (OpenTofu, Pulumi, etc.).
  • Develop, implement, and manage CI/CD pipelines to streamline the software development lifecycle.
  • Monitor, troubleshoot, and optimize system performance, availability, and security, including on-call support.
  • Collaborate with software engineering and AI/ML teams to align infrastructure with our AI product goals.
  • Ensure infrastructure meets the highest security standards and compliance requirements.
  • Establish and maintain logging, monitoring, and alerting systems to support rapid response to issues.
  • Conduct cloud cost optimization and ensure efficient use of cloud resources.
  • Enable rapid scaling of infrastructure in response to growing data and user demands.
  • Contribute to disaster recovery planning, backup strategies, and fault-tolerant designs.

Requirements:

  • Bachelor's or Master's degree in Computer Science.
  • 5+ years of experience in a Cloud DevOps role, working in cloud environments like AWS, Google Cloud, or Azure.
  • Expertise in cloud infrastructure management tools like Terraform/OpenTofu, CloudFormation, Ansible or Pulumi.
  • Strong experience with CI/CD tools like Github Workflows, Jenkins, GitLab, or equivalent.
  • Experience with containerization (Docker, Kubernetes, ECS, etc.) and orchestration tools.
  • Solid understanding of networking, security best practices, and monitoring in cloud environments.
  • Proficiency in scripting languages like Python, Bash, or PowerShell.
  • Familiarity with logging/monitoring solutions like Prometheus, Grafana, Datadog, or CloudWatch.
  • Knowledge of cloud-native technologies, microservices architecture, and serverless computing.
  • Experience with cloud security management, including IAM policies, VPC configuration, and data encryption.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Preferred Qualifications:

  • Experience in AI/ML environments, supporting machine learning operations (MLOps/LLMOps) and data pipelines.
  • AWS/GCP/Azure certifications.
  • Knowledge of GitOps practices and tools (Flux, ArgoCD, etc.).
  • Understanding of regulatory and compliance standards (GDPR, SOC 2, ISO 27001, etc.).

What We Offer:

  • A competitive salary range between $120,000 - $180,000 per year.
  • A flexible working environment with hybrid options.
  • The opportunity to work with leading-edge AI technologies in a fast-growing startup.
  • A collaborative, inclusive, and innovative team culture.
  • Professional development opportunities, including certifications and training.
  • Health insurance and other benefits.

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