Senior Platform Engineer (m/f/d)new

beON consult; Kiel; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company is seeking a Senior Platform Engineer with expertise in Kubernetes and Kafka to manage on-premises and multi-cloud environments. The role focuses on deploying serverless architectures, managing Kafka clusters, and optimizing CI/CD processes. Candidates should have strong foundations in AI/ML infrastructure and be eager to integrate edge computing platforms, offering professional growth and competitive compensation.

Leistungen

Competitive Compensation

Professional Growth Opportunities

Access to Innovative Tools

Positive Culture

Qualifikationen

• 5+ years of experience in Kubernetes cluster management and integrations.
• Knowledge in deploying AI/ML workloads beneficial.
• Familiarity with tools such as Jenkins, GitHub Actions, and Terraform.

Aufgaben

• Provision, manage, and maintain Kubernetes clusters in on-premises and cloud environments.
• Build and administer Kafka clusters and handle performance optimization.
• Design and implement CI/CD pipelines ensuring continuous integration.

Kenntnisse

Kubernetes

Service Mesh

Edge Computing

AI / ML Infrastructure

Cloud Platforms

Terraform

Ansible

CI / CD

Go (Golang)

Kafka

Monitoring & Logging

Jobbeschreibung

We are seeking a Senior Platform Engineer with expertise in supporting Kubernetes and Kafka across on-premises and multi-cloud environments (Azure, GCP). The ideal candidate will also be eager to learn about and assist with integrating edge computing platforms, enabling AI technology stacks, and utilizing a robust DevOps toolset. This role requires hands-on Kubernetes experience and a strong foundation in modern platform solutions.

• Kubernetes Management : Provision, manage, and maintain Kubernetes clusters in on-premises and cloud environments (Azure, GCP).
• Serverless & Service Mesh : Deploy and manage Knative for serverless workloads and Istio for service mesh implementations.
• Custom Kubernetes Development : Create custom Kubernetes operators and controllers using Go to extend Kubernetes functionality.
• Edge & AI Integrations : Integrate edge computing platforms with AI / ML workloads (e.g., TensorFlow Serving, PyTorch, Kubeflow) for efficient edge processing.
• Collaboration : Work closely with AI / ML, data engineering, and platform teams to optimize resource utilization and scalability for edge and AI workloads.
• Kafka Administration : Build and administer Kafka clusters to support Kafka Connect in containerized environments. Handle partitioning strategies and optimize Kafka performance.
• Automation & Provisioning : Develop Ansible playbooks for infrastructure automation and platform provisioning.
• CI / CD Pipelines : Design and implement GitOps workflows using Jenkins and GitHub / GitLab, ensuring continuous integration and deployment.
• Monitoring & Logging : Implement robust monitoring with Prometheus and Grafana, and manage centralized logging via ELK or Fluentd.
• Optimization & Troubleshooting : Apply best practices for performance, platform resilience, and disaster recovery. Diagnose complex issues related to Kafka pipelines, Kubernetes orchestration, and CI / CD processes.

Core Skills

• Kubernetes (5+ years) : Cluster management, deployments, Helm charts, operators, and scaling / integrations.
• Service Mesh : Working knowledge of Istio or Linkerd for secure microservices communication.
• Edge Computing : Experience with platforms such as Azure IoT Edge, AWS Greengrass, or GCP Edge TPU is a plus.
• AI / ML Infrastructure : Experience deploying AI / ML workloads (e.g., TensorFlow Serving, PyTorch, Kubeflow).
• Cloud Platforms : Hands-on experience with at least two of Azure or GCP.
• Terraform & Ansible : Proficient in infrastructure provisioning and configuration management.
• CI / CD : Familiarity with Jenkins, GitHub Actions, GitLab, or similar tools.
• Go (Golang) / Python : Ability to develop Kubernetes-native solutions (operators, CRDs, controllers).
• Kafka : Knowledge of Kafka cluster setup, topic management, partitioning, broker optimization, and Kafka Connect is beneficial.
• Monitoring & Logging : Expertise with Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Fluentd.

If you’re ready for responsibility, you’ve come to the right place. At beON, your experience truly counts. We offer :

• Competitive Compensation : Attractive salary, bonus opportunities, and salary increases based on experience.
• Professional Growth : Ongoing development and learning through advanced technology stacks, mentorship from experts, and external resources.
• Newest IT Innovation : Opportunities to expand your IT expertise
• Support & Resources : Access to innovative tools and environment you need to succeed.
• Positive Culture : An appreciative atmosphere centered on transparency, fairness, and enjoyment at work.