Full-Time

Devops & Infrastructure Engineer

Posted on 1/31/2025

Auger

Auger

Senior

Bellevue, WA, USA

The candidate must work in-person at the Bellevue Headquarters.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Datadog
Chef
Kubernetes
Microsoft Azure
Grafana
Puppet
Machine Learning
Docker
CloudFormation
Microservices
AWS
Prometheus
Jenkins
Terraform
Ansible
Development Operations (DevOps)
Google Cloud Platform

You match the following Auger's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience in cloud infrastructure management with Azure, AWS, or Google Cloud (multi-cloud experience preferred).
  • Proficiency in DevOps tools and practices, including CI/CD (e.g., Jenkins, GitLab, or Azure DevOps) and configuration management tools (e.g., Ansible, Puppet, Chef).
  • Experience managing containerized applications using Docker and Kubernetes in production.
  • Demonstrated experience with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
  • Strong understanding of networking concepts, security best practices, and cloud architecture patterns.
  • Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or Datadog.
  • Proven ability to troubleshoot complex system and infrastructure issues under time constraints.
  • A collaborative mindset with excellent communication skills to work across teams.
  • Ability to work in-person at our Bellevue Headquarters.
Responsibilities
  • Design, implement, and manage scalable cloud infrastructure across Azure, AWS, and Google Cloud to support Auger’s AI-driven applications.
  • Develop and maintain CI/CD pipelines to automate build, test, and deployment workflows for microservices and machine learning models.
  • Monitor system health, performance, and security using advanced observability tools and frameworks.
  • Optimize infrastructure costs while ensuring high availability and disaster recovery readiness.
  • Build and manage containerized environments using Docker and orchestration tools like Kubernetes.
  • Automate manual processes and enforce Infrastructure-as-Code (IaC) principles using tools like Terraform or CloudFormation.
  • Collaborate with engineering teams to ensure infrastructure and deployment processes align with project goals.
  • Establish and maintain robust security practices for data governance and compliance within cloud environments.
Desired Qualifications
  • Experience with data-driven and AI-focused architectures.
  • Familiarity with streaming platforms like Kafka or Azure Stream Analytics.
  • Hands-on experience optimizing cost and performance for ML workloads in the cloud.
  • Strong scripting skills (e.g., Python, Bash, or PowerShell) for automation and tooling.
  • Resilient, driven, and confident, with a passion for delivering infrastructure excellence.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A