Accepting Applications
Full-time
On-site
LinkedIn
Posted 1 month, 4 weeks ago
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Job Description
**Job Title**
**Kubernetes Administrator**
**Job Scope**
We are seeking an experienced Platform Support Engineer to support a key client engagement. The ideal candidate will have a strong background in Kubernetes operations, DevOps practices, and big data platforms, with proven ability to troubleshoot, manage, and optimize critical infrastructure. The role involves client\-facing responsibilities, requiring excellent communication skills to handle discussions, resolve issues, and raise tickets as needed.
**Main Duties And Responsibilities**
* Troubleshooting \& Support: Diagnose and resolve platform issues efficiently to maintain system stability and performance.
* Incident Management: Raise, track, and manage tickets for any platform\-related incidents or service requests.
* Client Interaction: Engage with client teams to discuss issues, provide updates, and ensure timely resolution.
* Kubernetes \& Container Management: Build and manage Docker images; Manage Docker Quay image registry; Handle K8S components including network policies, ingress/egress, secret and configMap management; Deploy and manage Helm charts.
* Python Environment Management: Setup and manage virtual environments for Python\-based workloads.
* Big Data Components: Experience with Spark, Airflow, Hive, and HDFS; Manage queue limits for workloads.
* Networking: Manage DNS (static and dynamic entries), proxy settings, and environment variables.
* Security \& Access Management: Manage SSL certificates and permissions; Maintain Postgres database permissions.
* Object Storage: Familiarity with S3\-compatible systems (e.g., Dell ECS).
* DevOps \& CI/CD: Experience with GitLab pipelines and workflows.
* System Services: Manage system daemons and ensure service health across platforms.
**Position Requirements**
* Proven expertise in Kubernetes administration and containerization.
* Strong knowledge of networking concepts, including DNS, proxies, and ingress/egress.
* Hands\-on experience with big data ecosystems and workload management.
* Familiarity with DevOps pipelines (GitLab) and infrastructure automation.
* Experience with Python virtual environments and dependency management.
* Knowledge of SSL management, secrets, and configuration management.
* Strong troubleshooting, analytical, and problem\-solving skills.
* Excellent communication and client engagement abilities.
**Education**
Bachelor’s degree in Computer Science, Computer Engineering or any other related field
**Experience**
* Knowledge of Dell ECS or other S3 object storage solutions.
* Familiarity with Helm chart customization and CI/CD integration.
* Prior experience in enterprise\-scale environments handling complex deployments.