
DevOps – Site Reliability Engineer
Oowlish
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Deploy and manage web, mobile, and API applications across cloud environments
- Implement and maintain monitoring and observability tools like NewRelic, Datadog, or Prometheus/Grafana
- Design and optimize CI/CD pipelines using tools like Azure Pipelines, Jenkins, or CircleCI
- Manage containerized environments with Docker, Kubernetes, and Helm
- Build and manage cloud infrastructure on Azure, AWS, or GCP
- Write automation scripts using Bash and other scripting languages
- Develop and maintain incident response processes and disaster recovery strategies
- Collaborate with development, product, and operations teams to improve system reliability and deployment efficiency
Requirements
- 3+ years of experience in a DevOps, Site Reliability Engineering (SRE), or related role
- Strong hands-on experience with the deployment of web, mobile, and API applications
- Expertise in monitoring and observability tools (e.g., NewRelic, Datadog, Prometheus/Grafana)
- Strong experience with CI/CD pipelines and associated tools (Azure Pipelines, Jenkins, CircleCI)
- Proficiency with Docker, Kubernetes, and Helm
- Experience working with cloud platforms like Azure, AWS, or GCP
- Scripting proficiency in Bash
- Familiarity with incident response and disaster recovery planning
Benefits
- Remote work (home office)
- Competitive compensation based on experience
- Career development plans with opportunities for significant growth within the company
- International projects
- Oowlish English Program (technical and conversational)
- Oowlish Fitness with TotalPass
- Games and competitions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
DevOpsSite Reliability EngineeringCI/CD pipelinesscriptingmonitoring toolsobservability toolsincident responsedisaster recoverycontainerizationcloud infrastructure
Soft Skills
collaborationsystem reliabilitydeployment efficiency