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.