Senior Site Reliability Engineer

Role & responsibilities

• Design, implement, and maintain highly available, scalable, and reliable production systems using SRE best practices.
• Define and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), Service Level Agreements (SLAs), and error budget processes.
• Manage cloud-native infrastructure across AWS, Azure, or GCP with focus on reliability, performance, and automation.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, Azure DevOps, and GitOps practices.
• Automate infrastructure provisioning, deployments, monitoring, and operational workflows using Terraform, Ansible, Python, Bash, and other automation tools.
• Manage Kubernetes-based platforms including cluster deployment, scaling, troubleshooting, upgrades, and workload optimization.
• Implement observability solutions using Prometheus, Grafana, ELK Stack, Splunk, Datadog, CloudWatch, and Azure Monitor.
• Monitor system health, analyze performance metrics, configure alerts, and proactively identify reliability risks.
• Lead incident response, production troubleshooting, root cause analysis (RCA), and post-incident improvement initiatives.
• Develop strategies for high availability, disaster recovery, fault tolerance, backup, and business continuity.
• Optimize application and infrastructure performance, scalability, and cloud resource utilization.
• Collaborate with development, DevOps, security, and infrastructure teams to improve software delivery and operational excellence.
• Implement DevSecOps practices including vulnerability management, security automation, access controls, and compliance requirements.
• Maintain infrastructure documentation, operational runbooks, architecture diagrams, and standard operating procedures.
• Participate in on-call rotations and provide production support for critical business applications.
• Mentor junior engineers and promote SRE culture, automation, and reliability engineering practices.

Preferred candidate profile

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5 to 10 years of experience in Site Reliability Engineering (SRE), DevOps, Cloud Engineering, or Production Engineering roles.
• Strong hands-on experience with AWS, Microsoft Azure, and/or Google Cloud Platform (GCP).
• Proven experience managing Kubernetes, Docker, Helm, OpenShift, and containerized production environments.
• Strong knowledge of CI/CD pipelines, GitOps, Infrastructure as Code (IaC), Terraform, Ansible, and automation frameworks.
• Excellent scripting skills in Python, Bash, Shell, or Go for automation and operational tooling.
• Strong understanding of Linux/Unix systems administration, networking, DNS, TCP/IP, HTTP, load balancing, and troubleshooting.
• Experience with monitoring, logging, and observability platforms such as Prometheus, Grafana, ELK Stack, Splunk, Datadog, New Relic, CloudWatch, and Azure Monitor.
• Strong knowledge of incident management, RCA, SLO/SLI implementation, capacity planning, performance optimization, and reliability engineering practices.
• Experience with microservices architecture, cloud-native applications, service mesh technologies, and distributed systems.
• Familiarity with DevSecOps, security best practices, IAM, vulnerability management, and compliance standards.
• Strong analytical, troubleshooting, communication, and collaboration skills.
• Experience working in Agile/Scrum environments with cross-functional engineering teams.

Preferred certifications

• Certified Kubernetes Administrator (CKA)
• AWS Certified DevOps Engineer Professional
• AWS Solutions Architect
• Microsoft Azure DevOps Engineer Expert
• Google Professional Cloud DevOps Engineer
• HashiCorp Terraform Associate
• RHCE / LFCS
• ITIL Foundation