Kubernetes Infrastructure Engineer

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HeadSpin

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

HeadSpin is a comprehensive digital experience platform specializing in the optimization and testing of mobile apps and digital media. The company provides an automated and manual testing platform powered by data science insights, enabling easy and extensive end-to-end automation of the quality assurance (QA) process. HeadSpin offers regression intelligence, audio-visual testing, and continuous app performance monitoring using synthetic data. Its platform supports teams like DevOps, Engineering, and Site Reliability Engineering (SRE) by ensuring apps' optimal performance and superior digital experiences. Trusted by enterprises worldwide, HeadSpin accelerates development cycles, reduces production issues, and offers AI-enabled insights for quality improvement.

📋 Description

• Deploy, configure, and manage Kubernetes clusters on Azure, AWS, and Google Cloud Platform • Monitor, troubleshoot, and resolve issues related to Kubernetes clusters and containerized applications • Implement and manage automated scaling, health checks, and logging for Kubernetes environments • Ensure high availability and disaster recovery for Kubernetes clusters in multi-cloud environments • Optimize cloud infrastructure for performance, cost, and resource efficiency • Collaborate with development teams to manage deployments to Kubernetes clusters • Configure application and network integrations to customer on-premises and cloud-based services • Implement Kubernetes security best practices, including role-based access control (RBAC), network policies, and encryption • Maintain clear and comprehensive documentation of Kubernetes configurations, best practices, and cloud infrastructure • Provide on-call support as required for cloud infrastructure and Kubernetes environments

🎯 Requirements

• Proven experience (4+ years) as a Kubernetes Administrator, Cloud Engineer, or similar role • Strong knowledge of container orchestration and management in Kubernetes • In-depth experience with cloud-native services on Azure (AKS, Virtual Networks), AWS (EKS, EC2, S3), and GCP (GKE, Cloud Storage) • Proficiency with containerization and orchestration technologies (Docker, Kubernetes) • Familiarity with infrastructure-as-code tools (Helm, ArgoCD) • Experience with monitoring and logging tools (Prometheus, Grafana, Opensearch) • Strong knowledge of cloud security best practices, including network security, identity, and access management (IAM)

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities