Kubernetes Engineer

Mbr Partners Limited — Czechia · Posted ~2 hours ago

Skills

Kubernetes Docker Helm CI/CD cloud-native architecture deployment automation third-party integrations

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Summary ✨ AI‑Generated

A Kubernetes engineering role focused on designing, automating, and maintaining scalable deployment frameworks for cloud-native applications. You will build Docker images and Helm charts, strengthen CI/CD pipelines, integrate third-party tools, and optimize Kubernetes environments for reliability and performance. The role can be considered across global locations, with compensation varying by location and experience.

Highlights

Work on cloud-native deployment and integration frameworks across public, private, and hybrid environments, with a strong focus on Kubernetes automation, CI/CD, reliability, and performance.

Description

Our clients are a major provider of cloud-native, automated network software solutions for mobile network operators and large enterprises. Instead of relying on traditional, proprietary hardware, it focuses on building end-to-end software architectures that can run on any public, private, or hybrid cloud infrastructure As a Kubernetes Engineer, you will be an integral part of the team that are designing, automating, and maintaining scalable deployment and integration frameworks for modern, cloud-native applications. You will collaborate closely with cross-functional teams to build robust CI/CD pipelines, optimise Kubernetes environments, and ensure high reliability and performance across deployments. Please ignore any references to salary as this role was posted across the Globe and the slaries willl vary on locationand expereince Key Responsibilities: Develop and maintain Docker images and Helm charts for application deploymentEnsure integration with third-party tools and providers, including:HashiCorp VaultBitnami SealedSecretsCert-manager and trust-managerMultusDesign and implement CI/CD pipeline automation using Jenkins:Application and documentation buildsLab/environment deploymentsAutomated regression testingSupport Kubernetes-based application deployments and lifecycle managementCollaborate with engineering teams to improve automation, deployment efficiency, and system reliability Job Requirements: Strong functional knowledge of Linux (RHEL or equivalent)Proficiency in Bash scriptingExperience with Python 3Solid understanding of Git version controlFamiliarity with Kubernetes concepts, including:Controller types and their usagePod lifecycle and health checks (probes)Service types and networking behaviorPersistent volumes and claims, especially in StatefulSetsWorking knowledge (or willingness to quickly learn) Helm 3+:Chart structure and subchartsTemplate customization and templating functionsDeployment lifecycle (install, upgrade, hooks, etc.) Preferred Qualifications Experience with Infrastructure as Code (IaC)Knowledge of:OpenSearch / ElasticsearchApache KafkaMariaDBKeycloak Work Environment & Culture Work independently while contributing to a shared team effortBuild solutions with long-term consistency and maintainability in mindImprove existing systems while remaining open to thoughtful architectural changesStrong code review culture:All code changes are reviewed before mergingShared ownership of code across the teamBalance innovation with alignment to established standards and practices