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Trabajo en conjunto

DevOps Engineer

Jobgether

Remote · Jornada completa

Sé el primero en postularte

Experiencia
4+ años
Salario
Vacantes
1
Al corriente
Hace 8 horas
Modo de trabajo
Trabajar desde casa
Reanudar
Se requiere solicitud

Descripción del trabajo

About the Role

This opportunity is offered on behalf of a partner company seeking a DevOps Engineer based in Ireland. Join a dynamic engineering team dedicated to building and maintaining scalable infrastructure supporting extensive digital platforms. This role suits experienced professionals passionate about automating complex environments, optimizing deployment pipelines, and elevating system reliability across cloud and on-premises settings.

You will collaborate with development, QA, and operations teams to streamline software delivery and embed modern DevOps methodologies widely within the organization. The position offers exposure to cutting-edge technologies and involvement in mission-critical platform development within a culture emphasizing innovation, continuous enhancement, and technical mastery.

Key Responsibilities

  • Advocate and implement contemporary DevOps processes to enhance collaboration among development, QA, and operations.
  • Deploy, manage, and optimize Kubernetes clusters in both cloud and on-premises infrastructures ensuring scalability and resilience.
  • Develop, maintain, and refine continuous integration and delivery pipelines to facilitate reliable and efficient software releases.
  • Automate infrastructure setup and configuration using Infrastructure as Code and Configuration as Code principles.
  • Improve platform observability by integrating monitoring, logging, alerting, and performance tuning solutions.
  • Administer Linux-based systems focusing on security, uptime, and operational excellence.
  • Work closely with engineering teams to resolve production issues, streamline deployment workflows, and enhance infrastructure stability.
  • Drive continuous improvement of cloud infrastructure, automation frameworks, and platform performance.

Experience and Skills Required

  • Minimum four years of professional experience in a DevOps or related infrastructure automation role.
  • At least two years utilizing Configuration as Code tools, especially Ansible.
  • Demonstrated expertise in cloud Infrastructure as Code implementations, preferably with AWS and Terraform.
  • Strong background in designing and managing CI/CD pipelines, particularly using Jenkins.
  • Hands-on experience with monitoring and logging platforms such as Prometheus, Grafana, Loki, and ELK Stack.
  • Advanced skills in Linux system administration and deep understanding of networking essentials including routing, VPNs, DNS, load balancing, and firewall configuration.
  • Proficiency with scripting or programming languages such as Go, Python, or Groovy.
  • Solid experience administering Kubernetes; familiarity with on-premises distributions like Rancher is advantageous.
  • Experience with VMware vSphere environments is an added benefit.
  • Excellent problem-solving skills coupled with effective communication and a cooperative approach within Agile teams.

Benefits and Perks

  • Flexible working arrangements with a fully remote option.
  • Remote onboarding procedures for a seamless start.
  • Eligibility for performance-based bonuses offered annually or quarterly.
  • Access to ongoing learning and career development through internal resources, company libraries, and partner training initiatives.
  • Comprehensive health and life insurance plans.
  • Employee wellness programs including access to professional psychological support services.
  • Reimbursement for mobile communication expenses.
  • Opportunity to engage with modern cloud-native technologies on impactful digital platforms.

Additional Information

This role is managed by our partner company who oversees application processing and subsequent hiring stages. The recruitment process incorporates AI-powered tools to ensure objective and efficient candidate evaluation, although all final hiring decisions remain human-led. Candidates applying acknowledge processing of their personal data in compliance with relevant data protection regulations, including GDPR. Transparency regarding data processing and the use of AI in evaluation is provided as part of the process.

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