Site Reliability Engineer
3 days ago
Skills Required:
AWS, Azure, Terraform, CloudFormation, Cloudformation, Pulumi, CICD, GitHub Actions,
GitLab CI, Jenkins, ArgoCD, Prometheus, Splunk, Grafana, Cloudwatch, Datadog, SRE,
Site Reliability, Python, Powershell, Shell, Go, Kubernetes, Docker, Performance Tuning,
Performance Enhancements, Performance Enhancement, Performance
Experience Range:
2 - 5 years
About the Role
The Site Reliability Engineer ensures digital systems are reliable, resilient, and scalable.
This role automates operational processes, reduces manual intervention, and strengthens
incident response across complex environments. With expertise in infrastructure, scripting,
cloud services, and observability, the Site Reliability Engineer is essential to maintaining
system uptime and delivering continuous improvements in performance and deployment
workflows.
What You'll Do
• Automate processes to enhance system reliability and scalability
• Implement proactive monitoring and maintenance to prevent incidents
• Streamline CI/CD and development-to-deployment workflows
• Develop tools and scripts that reduce manual operational efforts
• Respond to incidents, manage root cause analysis, and minimize service disruption
• Continuously research and adopt new technologies for performance gains
• Partner with cross-functional teams to improve end-to-end system performance
• Support other duties and technical projects as required by leadership
What You'll Bring
• Bachelor's degree in Computer Science, Software Engineering, or a related technical
field
• 2–5 years of experience in SRE, DevOps, or cloud-native infrastructure roles
• Proven ability to build and manage CI/CD pipelines
• Experience with cloud-native platforms and technologies (e.g., AWS, Azure, GCP)
• Strong scripting skills (e.g., Python, Bash) and systems troubleshooting
• Knowledge of Agile principles and automation best practices
• Excellent problem-solving and communication skills
• Certifications (preferred): CKA, AWS DevOps Engineer, SRE Foundation
Must Have Skills
• Hands-on experience with Monitoring & Observability tools such as Prometheus,
Grafana, Dynatrace, Datadog, or Splunk for system health, application metrics, and
alerting.
• Strong expertise in automation scripting using Python, Bash, or Perl to streamline
operational workflows and reduce manual intervention.
• Practical experience with DevOps practices and CI/CD tools like Jenkins, GitLab CI,
ensuring automated and reliable software delivery pipelines.
• Proficiency in Infrastructure as Code (IaC) using tools such as Terraform, AWS
CloudFormation, or Pulumi for scalable cloud provisioning.
• Solid understanding of cloud platforms—AWS or Azure—with experience managing
cloud-native applications and infrastructure.
• Deep knowledge of containerization and orchestration using Docker and
Kubernetes, including managing deployments and scaling services.
• Exposure to performance tuning and optimization, especially at the API layer, to
improve system responsiveness and reliability.
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