Software Engineer II

Summary

We're hiring a Cloud Platform Engineer with 3+ years of Kubernetes experience to design, deploy, and maintain cloud-native infrastructure across multiple platforms. They will optimize performance, ensure security, implement GitOps workflows, establish monitoring systems, develop automation scripts, collaborate with development teams, and participate in an on-call rotation.

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

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.)
• Embrace GitOps principles using ArgoCD to automate deployments and configuration changes
• Establish comprehensive monitoring, logging, and alerting systems
• Develop automation scripts and tools (Python, Go, or other languages) to streamline workflows
• Partner closely with development teams to understand their needs and enable smooth integration and deployment of their applications
• Implement and maintain stringent security measures for Kubernetes and cloud environments
• 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

Preferred Qualifications

Ability to work from 8.30 PM to 5.30 AM IST to provide coverage for US time zones