Site Reliability Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Assist in overseeing the availability, performance, and reliability of applications, services, and infrastructure.

• Aid in the maintenance and optimization of cloud environments utilizing AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Monitor system health, application performance, resource utilization, and service availability.

• Help identify, troubleshoot, and resolve issues related to infrastructure, applications, and production.

• Develop automation scripts in Python, Bash, or Shell scripting to minimize repetitive operational tasks.

• Work with Linux-based systems and command-line tools for infrastructure management and troubleshooting.

• Support the deployment and upkeep of monitoring, logging, and alerting solutions.

• Collaborate with DevOps and software engineering teams to enhance deployment reliability and system performance.

• Assist in the management of CI/CD pipelines and the support of automated deployment workflows.

• Participate in incident investigations, root cause analysis, and documentation of technical issues.

• Support infrastructure automation using tools like Terraform or Ansible.

• Engage with containerization technologies such as Docker and Kubernetes.

• Assist in maintaining system security, access controls, backups, and operational best practices.

• Maintain technical documentation for system configurations, monitoring procedures, and incident resolutions.

• Contribute to enhancing system scalability, fault tolerance, and operational efficiency.

⛳️ Requirements

• Master's degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related technical field.

• 0–1 year of experience in Site Reliability Engineering, DevOps, Cloud Engineering, Systems Administration, or a related technical role.

• Strong understanding of operating systems, especially Linux, command-line tools, and basic system administration.

• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Basic knowledge of networking concepts, including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.

• Proficiency in at least one scripting or programming language, such as Python, Bash, or Go.

• Understanding of system monitoring, logging, alerting, and performance management concepts.

• Familiarity with Git and GitHub for version control and collaborative development.

• Basic understanding of CI/CD pipelines and automated deployment processes.

• Familiarity with Docker and containerization concepts.

• Basic knowledge of Kubernetes and container orchestration is an advantage.

• Understanding of infrastructure automation and Infrastructure as Code (IaC) concepts.

• Familiarity with monitoring tools such as Prometheus, Grafana, Datadog, or CloudWatch is a plus.

• Understanding of system reliability, scalability, availability, and fault tolerance.

• Strong troubleshooting, analytical thinking, and problem-solving skills.

• Ability to collaborate effectively, communicate technical issues clearly, and learn new technologies.

• Academic projects, internships, or personal projects involving cloud infrastructure, DevOps, system administration, or automation.

• Familiarity with Infrastructure as Code tools such as Terraform or Ansible.

• Exposure to CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.

• Basic understanding of incident management, root cause analysis, and Service Level Indicators (SLIs) and Service Level Objectives (SLOs).

• Familiarity with cloud monitoring, infrastructure observability, and performance optimization.

• Relevant cloud, Linux, or DevOps certifications are a plus.

🏝️ Benefits

• Opportunity to contribute to an innovative, AI-powered technology company.

• Hands-on exposure to cloud infrastructure, system reliability, and modern engineering practices.

• Opportunities to develop practical skills in automation, monitoring, and infrastructure management.

• Exposure to modern cloud platforms, DevOps tools, and observability technologies.

• Collaborative environment that promotes technical learning, innovation, and knowledge sharing.

• Opportunities for professional development and technical career growth.

• Opportunity to contribute to enhancing application performance, system availability, and infrastructure reliability.