Jr DevOps Engineer

WebAI
Austin
Workplace: HybridFull timeUSD 90,000 - 130,000 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Troubleshooting","Problem-solving","Communication","Collaboration","Eagerness to learn"]

Design, build, and scale secure infrastructure that supports AI workloads across public cloud, hybrid, and edge environments. You’ll implement Infrastructure as Code with GitOps workflows, deploy and operate Kubernetes clusters for AI/ML (including GPU scheduling), and build secure CI/CD pipelines with integrated security controls. You’ll also drive observability with tools like Prometheus/Grafana and ELK/Datadog, support MLOps initiatives, and improve reliability through incidents, postmortems, and disaster recovery.

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FursaFursa
WebAI
WebAI
1 day ago

Jr DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, build, and scale secure infrastructure that supports AI workloads across public cloud, hybrid, and edge environments. You’ll implement Infrastructure as Code with GitOps workflows, deploy and operate Kubernetes clusters for AI/ML (including GPU scheduling), and build secure CI/CD pipelines with integrated security controls. You’ll also drive observability with tools like Prometheus/Grafana and ELK/Datadog, support MLOps initiatives, and improve reliability through incidents, postmortems, and disaster recovery.
Location: Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Entry level

Key Responsibilities

  • •Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments.
  • •Build and maintain Infrastructure as Code using Terraform, Pulumi, and Ansible with GitOps workflows and automated validation.
  • •Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices.
  • •Develop secure CI/CD pipelines with integrated security controls such as SAST, DAST, vulnerability scanning, and secrets management.
  • •Implement observability and monitoring frameworks (Prometheus, Grafana, ELK, Datadog) and support incident response, reliability improvements, postmortems, and disaster recovery.

Pay and Benefits

Salary: USD 90,000 - 130,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityWellness StipendLearning BudgetParental LeaveLife InsuranceFree Parking

Key Requirements

  • •1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical role.
  • •Hands-on familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or Ansible.
  • •Experience with CI/CD concepts and tools (e.g., GitHub Actions, GitLab CI, Jenkins, or ArgoCD).
  • •Familiarity with cloud platforms such as AWS, Azure, or GCP, including compute, networking, and managed services.
  • •Basic programming or scripting experience with Python, Go, Bash, or similar languages for automation.
Skills:TroubleshootingProblem-solvingCommunicationCollaborationEagerness to learn
Certifications:AWS Certified Cloud PractitionerAWS Solutions Architect – AssociateAzure FundamentalsTerraform Associate
Tech Stack:AWSAzureGCPTerraformPulumiAnsibleGitOpsKubernetesDockerGitHub ActionsGitLab CIJenkinsArgoCDPythonGoBashPrometheusGrafanaELKDatadog

Company Brief

WebAI
Provides an AI platform to build, deploy, and manage web-based AI applications, offering tools for natural language, vision, and web automation so businesses and developers can integrate intelligent features into websites and products.
Industry: AI & Machine Learning
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