DevOps & IT Infrastructure Engineer

Posted Yesterday
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San Jose, CA, USA
In-Office
Entry level
Artificial Intelligence • Hardware • Information Technology • Software
The Role
Manage and optimize on-premises and cloud infrastructure, administer Linux systems and virtual machines, build CI/CD pipelines, automate provisioning and configuration, package software, manage Docker containers, support engineering and ML environments, troubleshoot deployments and networks, implement monitoring and logging, maintain backups, and contribute to security and compliance initiatives.
Summary Generated by Built In

Job Summary

TetraMem's Software Team is seeking an experienced IT Infrastructure & DevOps Engineer to manage and optimize our on-premises and cloud infrastructure, automate development workflows, and support software and hardware engineering teams. The ideal candidate has strong Linux administration, cloud infrastructure, scripting, and DevOps experience.

Responsibilities

  • Manage and maintain reliable, secure, and scalable IT infrastructure across on-premises and cloud environments (AWS, Azure, etc.).

  • Administer Linux systems, computing environments, virtual machines, networking, and system images.

  • Design, implement and maintain CI/CD pipelines for automated software builds, testing, packaging, and deployment.

  • Build and distribute software through native installers (RPM/DEB) and Docker containers.

  • Automate infrastructure provisioning, configuration, monitoring, and maintenance.

  • Support development environments and infrastructure for software, hardware, and ML engineering teams.

  • Troubleshoot system, networking, and deployment issues to ensure operational reliability.

  • Implement monitoring, alerting, and logging solutions to promptly detect, troubleshoot and resolve issues

  • Manage backup and restore procedures to safeguard data integrity and availability.

  • Contribute to security, compliance, and data privacy initiatives.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience.

  • Strong Linux system administration and troubleshooting skills.

  • Experience managing cloud infrastructure (AWS, Azure, or equivalent).

  • Proficiency in Python, Bash, YAML, and JSON.

  • Experience managing local and cloud computing environments, virtual machines, and system images.

  • Experience with software packaging (RPM/DEB) and containerization (Docker).

  • Experience with IT automation tools (Ansible, Chef, Terraform, etc.).

  • Hands-on experience with CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, etc.).

  • Solid understanding of networking, security, access control, and system monitoring.

Preferred Qualifications

  • Experience managing applications and infrastructure across edge and cloud environments.

  • Experience supporting semiconductor, FPGA, ASIC, or embedded hardware development teams.

  • Familiarity with ML infrastructure, GPU computing, and ML deployment workflows.

  • Experience supporting real-time image/audio processing or computer vision applications.

  • Familiarity with Kubernetes, EDA tools, embedded Linux, and cross-compilation toolchains.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience
  • Strong Linux system administration and troubleshooting skills
  • Experience managing cloud infrastructure, such as AWS or Azure
  • Proficiency in Python, Bash, YAML, and JSON
  • Experience managing local and cloud computing environments, virtual machines, and system images
  • Experience with RPM/DEB software packaging and Docker containerization
  • Experience with IT automation tools such as Ansible, Chef, or Terraform
  • Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions
  • Understanding of networking, security, access control, and system monitoring
  • Experience managing applications and infrastructure across edge and cloud environments
  • Experience supporting semiconductor, FPGA, ASIC, or embedded hardware development teams
  • Familiarity with ML infrastructure, GPU computing, and ML deployment workflows
  • Experience supporting real-time image/audio processing or computer vision applications
  • Familiarity with Kubernetes, EDA tools, embedded Linux, and cross-compilation toolchains
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The Company
HQ: Newark, CA
70 Employees
Year Founded: 2018

What We Do

TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.

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