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Principal Infrastructure Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Principal, 7+ years

📍 Location: US

💸 Salary: 165000.0 - 195000.0 USD per year

🔍 Industry: Artificial Intelligence

🏢 Company: SambaNova Systems👥 251-500💰 Secondary Market over 1 year agoArtificial Intelligence (AI)SemiconductorMachine LearningAnalyticsSoftware

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSDockerPythonBashElasticSearchGCPJenkinsKibanaKubernetesAzureGoREST APICI/CDLinuxDevOpsTerraformMicroservicesAnsible

Requirements:
  • 7+ years in software engineering, technology architecture, and DevOps with a demonstrated ability to design, implement, and maintain secure, scalable, and resilient systems.
  • Strong computer science fundamentals.
  • Extensive experience building enterprise-grade software with Python, Go, or other modern programming languages.
  • Deep knowledge of distributed systems and cloud platform concepts.
  • Solid understanding of fundamental CI/CD, GitOps, and DevOps concepts and experience with building pipelines using technologies such as Jenkins or CircleCI.
  • Strong understanding of Linux operating system concepts and proficiency with Python and Bash scripting.
  • Strong technical acumen with Kubernetes and hands-on experience with deploying and managing services on clusters using tools like Helm and ArgoCD.
  • Deep understanding of provisioning infrastructure in a hybrid-cloud environment, infrastructure-as-code (IaC) principles, and familiarity with relevant technologies such as Ansible and Terraform.
  • Experience building and deploying robust and secure web APIs and microservices.
  • Familiarity with container image building and container runtimes.
  • Experience building Linux packages and distribution platforms like Artifactory or similar technologies.
  • Experience building systems for data analytics using the ELK stack or similar technologies.
  • Proficient in cloud computing technologies and have experience working with AWS, Azure, or GCP.
  • Proven high-growth startup experience in scaling and supporting engineering teams.
Responsibilities:
  • Build cutting-edge customized tooling solutions to run complex workloads at scale across hybrid cloud environments to enhance software development, testing, and deployment efficiency.
  • Profile components of these workloads to identify bottlenecks and inefficiencies and develop solutions to improve overall time and resource utilization.
  • Drive the adoption of cutting-edge public cloud technologies across hybrid cloud environments to accelerate overall developer velocity.
  • Develop robust and scalable systems for building and managing software artifacts like Linux packages, container images and Python wheels.
  • Oversee the maintenance of leading continuous integration systems and ensure seamless integration with other systems and tools for optimal performance.
  • Design and implement streamlined industry-standard practices and policies for DevOps, GitOps and MLOps across various teams and functions.
  • Work closely with stakeholders to assess and implement enterprise-level systems that align with the organization's goals and objectives.
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