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Jr DevOps Engineer

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Jr DevOps Engineer in USA

  • Austin, TX

Responsibilities

  • Design and implement secure, scalable infrastructure across 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.
  • Develop secure CI/CD pipelines with SAST, DAST, vulnerability scanning, and secrets management.
  • Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management.
  • Implement observability and monitoring using Prometheus, Grafana, ELK, or Datadog.
  • Enforce IAM, encryption, network segmentation, and compliance automation best practices.
  • Participate in incident response, reliability improvements, postmortems, and disaster recovery planning.
  • Develop reusable infrastructure modules, runbooks, architecture documentation, and standards.
  • Mentor junior and mid-level engineers on DevOps practices and infrastructure design.

Requirements

  • Requires 1–3 years of experience in DevOps, infrastructure engineering, software engineering, or a related technical role.
  • Familiarity with Docker and containerized application environments; Kubernetes exposure is a plus.
  • Hands-on experience or familiarity with Terraform, Pulumi, or Ansible.
  • Experience with or willingness to learn AWS, Azure, or GCP, including compute, networking, and managed services.
  • Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
  • Basic programming or scripting experience with Python, Go, Bash, or similar languages.
  • Understanding of monitoring, logging, observability, cloud security, identity, permissions, and access management.
  • Familiarity with Git and modern software development workflows.
  • Preferred exposure to Kubernetes, other container orchestration technologies, Infrastructure as Code, multi-cloud or hybrid environments, AI/ML or MLOps infrastructure, edge computing, distributed systems, cloud cost optimization, or service mesh technologies such as Istio or Linkerd.
  • Relevant entry-level or associate certifications such as AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, Azure Fundamentals, or Terraform Associate are preferred.

Benefits

  • Competitive salary.
  • Comprehensive health, dental, and vision benefits for U.S.-based employees, with benefits varying for employees hired outside the United States.
  • 401(k) match, equity options, and supplemental life insurance.
  • $200/month Health & Wellness stipend.
  • Continuing Education support and a $500/year Function Health subscription.
  • Free parking for in-office employees.
  • Flexible Time Off and parental leave for eligible employees.

Salary: $90k - $130k/yr

webAI

webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized model...

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