DevOps Engineer

Vectra AI, Inc.

Ireland

On-site

EUR 65,000 - 90,000

Full time

31 hours ago
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Benefits offered by this job

Unlimited PTO
Healthcare Packages
Global Wellness Days
Employee Assistance Programs
Parental Leave
Fertility Assistance

Job summary

Vectra AI, Inc. in Ireland is seeking an enthusiastic DevOps Engineer to design and implement CI/CD pipelines and automation across cloud and on-prem deployments. You will contribute to reliable, scalable platform services and work with geo-distributed teams to improve time-to-deploy.

The role emphasizes hands-on experience with AWS, Kubernetes, Terraform, and monitoring tools, plus a passion for automation and DevOps best practices in fast-paced environments.

Qualifications

  • Relevant Bachelor’s degree (Computer Science, Engineering, etc.)
  • Hands on experience on Amazon Web Services (AWS)
  • Linux system proficiency
  • Comfort in dealing with Cloud deployments, networking, and security best practices
  • CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)
  • Hands on experience with Kubernetes
  • Belief in DevOps and Agile principles
  • 1-2 years hands-on DevOps/SRE experience
  • Zealous about automation
  • Strong container/serverless experience
  • Proficient knowledge of Python language
  • Experience on Hashicorp ecosystem - Terraform, Packer, Consul, Vault
  • Experience with telemetry tools/pipelines (metrics, logs, and traces)
  • Experience with RDS databases

Responsibilities

  • Design and implement pipelines and tools to ensure continuous integration, delivery, and deployment for our products
  • Define and implement tools that enable other teams to follow DevOps best practices
  • Own and deliver a suite of platform services consumed by internal stakeholders across teams and functions
  • Work on cloud environments ensuring reliability and availability
  • Ensure production deployments are fast, reliable, and safe
  • Work with geo-distributed development teams to improve quality and time-to deploy
  • Automate, Automate, Automate

Skills

AWS
Linux
Kubernetes
CI/CD
Python
Terraform
Packer
Consul
Vault
GitHub Actions
Jenkins
Telemetry
RDS
Automation
DevOps/SRE experience

Education

Bachelor’s degree in Computer Science/Engineering

Tools

GitHub Actions
Jenkins
Terraform
Packer
Consul
Vault
Kubernetes

Job description

  • DevOps Engineers are critical when it comes to keeping both our customers and engineering team running. As part of the DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data center, in the cloud, or at customer sites
  • DevOps Engineers will have a variety of responsibilities which may include things like:
  • Design and implement pipelines and tools to ensure continuous integration, delivery, and deployment for our products
  • Define and implement tools that enable other teams to follow DevOps best practices
  • Own and deliver a suite of platform services consumed by internal stakeholders across teams and functions
  • Work on cloud environments ensuring reliability and availability
  • Ensure production deployments are fast, reliable, and safe
  • Work with geo-distributed development teams to improve quality and time-to deploy
  • Automate, Automate, Automate
Benefits
  • Unlimited PTO
  • Healthcare Packages
  • Global Wellness Days
  • Employee Assistance Programs
  • Parental Leave
  • Fertility Assistance

Relevant Bachelor’s degree (Computer Science, Engineering, etc.)Hands on experience on Amazon Web Services (AWS)Linux system proficiencyComfort in dealing with Cloud deployments, networking, and security best practicesCI/CD pipeline experience (GitHub Actions, Jenkins, etc.)Hands on experience with KubernetesBelief in DevOps and Agile principles1-2 years hands-on DevOps/SRE experienceZealous about automationStrong container/serverless experienceProficient knowledge of Python languageExperience on Hashicorp ecosystem - Terraform, Packer, Consul, VaultExperience with telemetry tools/pipelines (metrics, logs, and traces)Experience with RDS databases

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