Sr. Site Reliability Engineer

Key Responsibilities:

• Configure, deploy, and operate public cloud services (Azure, AWS, GCP).
• Ensure high availability, security, performance, and disaster recovery best practices.
• Handle production incidents, plan escalations, conduct post-mortems, and perform impact analysis.
• Develop and manage CI/CD pipelines for automation and continuous deployment.
• Maintain a balance between Development & SRE mindset (Software & Infrastructure).
• Implement and maintain Application Performance Monitoring (APM) tools (Zabbix, Grafana, CloudWatch, etc.).
• Work with network and security components (BGP, TCP/IP, DNS, SMTP, HTTPS, Security Guardrails).
• Identify and resolve performance bottlenecks and anomalous system behavior.
• Use Infrastructure as Code (IaC) tools (Terraform, Ansible, Chef, Puppet, CloudFormation, ARM).
• Design and manage high availability infrastructure (regions, availability zones, replication).
• Automate and optimize Kubernetes cluster deployment and monitoring.
• Implement network architectures suitable for cloud topologies and cloud service expectations.
• Maintain firewalls and security solutions (Palo Alto, Fortinet, WAF, Cisco routers).
• Work with containerized environments (Docker, Kubernetes, EKS, GKE, Anthos, OpenShift).
• Implement DevOps best practices, rapid prototyping, and agile development methodologies.
• Troubleshoot and debug Kubernetes clusters and cloud infrastructure issues.
• Utilize SQL/NoSQL databases such as PostgreSQL for cloud storage management.
• Document troubleshooting processes, automation scripts, and procedural workflows.
• Provide client management support and collaborate with cross-functional teams.
• Stay updated on Kubernetes and cloud technology trends.

Required Skills & Qualifications:

• years of experience in Site Reliability Engineering, Cloud Engineering, or DevOps.
• Expertise in Azure, AWS, or GCP cloud platforms.
• Hands-on experience with Infrastructure as Code (IaC) and automation tools.
• Strong understanding of networking, security, and scalability in cloud environments.
• Experience in designing and deploying Kubernetes clusters for large-scale applications.
• Proficiency in Python, PowerShell, or Shell scripting for automation.
• Experience with firewalls, security policies, and monitoring tools.
• Strong knowledge of cloud security best practices.
• Ability to work independently and in a team, including 24x7 shifts when required.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Experience with Google Cloud Platform (GCP) services like Compute Engine, Cloud Storage, and Kubernetes Engine.
• Experience in a scaled agile environment with DevOps methodologies.