Network Operations Support Engineer

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Requirements:

• 3+ years of experience working with Kubernetes in production environments. Deep understanding of cluster operations, networking, storage, and security within Kubernetes.
• Strong knowledge of AWS, Azure, and GCP, including core services, networking concepts, and security best practices.
• Proven experience implementing GitOps workflows with ArgoCD and managing infrastructure using Terraform.
• Fluency in at least one programming language (Python, Go, Java) for automation, scripting, and tool development.
• Familiarity with SRE practices like SLOs (Service Level Objectives), error budgeting, and blameless postmortems.
• Excellent analytical and troubleshooting skills to identify and resolve issues in complex cloud environments.
• Ability to communicate effectively with development, operations, and security teams to drive cross-functional initiatives.
• Ability to work from 8.30 PM to 5.30 AM IST to provide coverage for US time zones.

Responsibilities:

• Design, deploy, and operate Kubernetes clusters across AWS, Azure, and GCP.
• Optimize cluster performance, ensure high availability, and implement robust security practices.
• Build and maintain cloud-native infrastructure components (load balancers, networking, storage, etc.) to support applications running on Kubernetes.
• Leverage Infrastructure as Code (IaC) with Terraform to automate and manage infrastructure provisioning and configuration.
• Embrace GitOps principles using ArgoCD to automate deployments and configuration changes and ensure consistency between the desired and actual system state.
• Establish comprehensive monitoring, logging, and alerting systems to gain insights into platform health and performance.
• Troubleshoot incidents swiftly and apply SRE principles to improve reliability and resilience.
• Develop automation scripts and tools (Python, Go, or other languages) to streamline workflows, eliminate manual tasks, and reduce operational overhead.
• Partner closely with development teams to understand their needs, provide guidance on platform best practices, and enable smooth integration and deployment of their applications.
• Implement and maintain stringent security measures for Kubernetes and cloud environments, ensuring compliance with industry standards and data protection regulations.
• Analyze resource usage and implement optimization strategies to maximize performance while controlling cloud costs.
• Participate in an on-call rotation, troubleshooting and resolving production issues promptly.