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DevOps Engineer

DevOps Engineer

weekday (yc w21)
5-7 Years
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

This role is for one of our clients
Seniority level: Mid-Senior level

Min Experience: 5+ years

Location: Remote

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are hiring an experienced DevOps Engineer with 5+ years of hands-on experience in cloud infrastructure, CI/CD, containerization, and automation. The ideal candidate should be passionate about building reliable, scalable, and secure infrastructure while leveraging AI-powered tools to improve operational efficiency.

Requirements
Responsibilities

  • Design, implement, and maintain scalable cloud infrastructure
  • Build and optimize CI/CD pipelines
  • Manage containerized applications using Docker and Kubernetes
  • Automate infrastructure provisioning using Terraform or similar IaC tools
  • Monitor application and infrastructure performance
  • Troubleshoot production issues and improve system reliability
  • Collaborate with development teams to streamline deployments
  • Leverage AI-powered tools for scripting, troubleshooting, documentation, and automation

Required Skills


  • 5+ years of DevOps experience
  • Strong experience with AWS/Azure/GCP
  • Expertise in Docker and Kubernetes
  • Hands-on experience with Terraform/CloudFormation/Ansible
  • Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
  • Strong Linux administration and Bash/Python scripting
  • Experience with Git and version control
  • Knowledge of monitoring tools such as Prometheus, Grafana, ELK, or CloudWatch

Preferred Skills


  • DevSecOps
  • Proficiency with AI tools such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar AI assistants
  • Helm
  • Python or Go
  • Microservices
  • Cloud Security
  • Kafka
  • ArgoCD

Must-have skills

AWS, DOCKER, Kubernetes

Good-to-have skills

Jenkins, AI tools, Terraform



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