Mid-Level Infrastructure/DevOps Engineer (Remote)

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.Job Summary:Abnormal Security is seeking an Infrastructure/DevOps Engineer to support their AI platforms. The role involves building and maintaining scalable infrastructure, collaborating with various teams, and ensuring that foundational systems support the deployment and monitoring of advanced AI tools.Responsibilities:• Architect and manage infrastructure that supports AI/ML pipelines, tools, and data platforms.• Implement and maintain containerization (e.g., Docker) and orchestration (e.g., Kubernetes) environments.• Develop CI/CD systems that integrate with ML workflows and ensure reproducible AI experiments.• Collaborate with security and compliance teams to ensure infrastructure meets data protection standards.• Automate provisioning and deployment using IaC tools like Terraform or Pulumi.• Monitor and troubleshoot infrastructure issues with tools like Prometheus, Grafana, and ELK stack.• Partner with AI and software engineers to optimize platform performance and resource utilization.• Maintain clear, accessible documentation to scale platform knowledge across the org.Qualifications:Required:• 4+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.• Proficiency with cloud providers (AWS preferred), Kubernetes, and Docker.• Experience with infrastructure as code tools (Terraform, Ansible, or Pulumi).• Strong scripting skills in Python, Bash, or similar.• Familiarity with CI/CD systems such as GitHub Actions, Jenkins, or CircleCI.• Understanding of networking, security, and identity management in cloud environments.• Experience supporting ML workloads and GPU-based infrastructure.• Ability to troubleshoot complex system issues in a distributed environment.• Comfortable working across functional teams and communicating with technical and non-technical stakeholders.Preferred:• Familiarity with MLOps tools like MLflow, Kubeflow, or SageMaker.• Experience with AI platform infrastructure (e.g., model serving, feature stores).• Knowledge of logging and monitoring frameworks (e.g., Fluentd, Loki).• Background in supporting data platforms like Snowflake, Databricks, or Hadoop.• AWS Certified.• Experience working in high-growth startups or tech companies.Company:Abnormal AI is the leading AI-native human behavior security platform. Founded in 2018, the company is headquartered in Las Vegas, Nevada, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Abnormal AI has a track record of offering H1B sponsorships.