QuickOps Consulting
DevOps Engineer
DevOps/Platform Engineer (4–5+ years) building and operating AWS-based infrastructure: Terraform/CloudFormation IaC, Jenkins/GitLab CI/CD, Dockerized microservices, and Datadog/Coralogix observability, with production support and incident management. Hybrid role in Portugal, 2 days a week in the office.
- Compensation
- Not disclosed
- Location
- Portugal
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 4–5+ years of experience in DevOps, Platform Engineering, or similar roles
- Strong experience with AWS cloud services (ECS, EC2, Glue, Athena, CloudFront, WAF)
- Proven expertise in Infrastructure as Code (Terraform and/or CloudFormation)
- Hands-on experience with CI/CD pipelines (Jenkins, GitLab)
- Solid understanding of containerised environments (Docker, microservices)
- Strong knowledge of Linux/Unix systems and networking fundamentals
- Experience with monitoring and observability tools (e.g., Datadog, Coralogix)
- Experience in production support and incident management
- Familiarity with Git-based workflows and collaboration tools (e.g., Jira)
Nice to have
- Exposure to Azure environments
- Experience working with data platforms or data engineering teams
- Understanding of SRE principles (SLIs/SLOs, reliability practices)
Full description
DevOps/Platform Engineer
Technical Skills
- 4–5+ years of experience in DevOps, Platform Engineering, or similar roles
- Strong experience with AWS cloud services (ECS, EC2, Glue, Athena, CloudFront, WAF)
- Proven expertise in Infrastructure as Code (Terraform and/or CloudFormation)
- Hands‑on experience with CI/CD pipelines (Jenkins, GitLab)
- Solid understanding of containerised environments (Docker, microservices)
- Strong knowledge of Linux/Unix systems and networking fundamentals
- Experience with monitoring and observability tools (e.g., Datadog, Coralogix)
- Experience in production support and incident management
- Familiarity with Git-based workflows and collaboration tools (e.g., Jira)
Nice to have
- Exposure to Azure environments
- Experience working with data platforms or data engineering teams
- Understanding of SRE principles (SLIs/SLOs, reliability practices)
Work model: 2x a week at the office