SRE Engineer (Site Reliability Engineer)

SKILLS AND BACKGROUND REQUIRED: 
• Proven expertise in SRE & DevOps practices, with a focus on automation, incident management, observability, and infrastructure scalability.
• Extensive knowledge of cloud platforms (AWS, GCP or Azure) and hybrid-cloud environments, with a focus on reliability and performance optimization.
• Experience with automation tools and scripting languages, such as Python, Go, Terraform, or Ansible for managing infrastructure, incident response & automated runbooks.
• Strong understanding of containerization (Docker, Kubernetes) and orchestration systems.
• Solid grasp of monitoring and observability tools (Prometheus, Grafana, Dynatrace, Splunk) to ensure real-time system health monitoring.
• Proficiency in maintaining system functionality, optimizing performance, and effectively addressing technical challenges.
• Strong background in incident management, root cause analysis, and postmortem processes to improve system resilience.
• Understanding of security and compliance requirements, and the ability to ensure production environments meet industry standards.
• Experience with SRE, Agile and DevOps methodologies to ensure fast, reliable delivery of services. 

Experience: 8+ years of solid experience in IT, with a focus on SRE, DevOps, or infrastructure engineering roles.
• Extensive hands-on experience with cloud infrastructure management and automation tools such as Terraform, CloudFormation, or equivalent.
• Proficiency in scripting and automation languages like Python, Bash, Go, or Ruby for infrastructure automation.
• Confirmed experience in large-scale systems, ensuring reliability, high availability and scalability.
• Knowledge in container orchestration technologies, including Kubernetes, OpenShift, and Docker.
• Deep knowledge of monitoring and observability platforms (Prometheus, Grafana, ELK, Dynatrace), including experience building pipelines, and maintaining alerting and dashboard systems.
• Strong understanding of version control systems and CI/CD practices to optimize code deployment as it relates to infrastructure.
• Demonstrated ability to optimize performance in cloud environments, ensuring uptime and performance at scale. 

Certificates / Training Preferred:
• Relevant cloud certifications such as AWS DevOps, Solutions Architect, Azure DevOps, or Google Cloud DevOps
• SRE-related certifications like Certified Kubernetes Administrator (CKA) or Google Professional Cloud DevOps Engineer. 

Education: 
• Bachelor’s degree in computer science, Information Technology, or related field, or equivalent experience.