Senior Platform Engineer (m / f / d)new

beON consult; Kiel; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A tech consulting firm is seeking a Senior Platform Engineer in Kiel, Germany. The ideal candidate will manage Kubernetes clusters and Kafka environments while integrating edge computing and AI technologies. You'll collaborate with various teams to optimize resources and deploy scalable solutions. Offering competitive compensation, professional growth opportunities, and a positive work culture, this role is perfect for someone eager to expand their expertise in modern platform solutions.

Leistungen

Competitive Compensation

Professional Growth

Newest IT Innovation

Support & Resources

Positive Culture

Qualifikationen

• 5+ years of experience with Kubernetes, managing clusters and deployments.
• Experience with cloud platforms, especially Azure or GCP.
• Ability to develop Kubernetes-native solutions using Go or Python.

Aufgaben

• Provision, manage, and maintain Kubernetes clusters.
• Develop Ansible playbooks for automation.
• Design and implement GitOps workflows for CI/CD.

Kenntnisse

Kubernetes Management

Serverless & Service Mesh

Custom Kubernetes Development

Edge & AI Integrations

Kafka Administration

Automation & Provisioning

CI / CD Pipelines

Monitoring & Logging

Optimization & Troubleshooting

Tools

Terraform

Ansible

Prometheus

Grafana

Kafka

Jobbeschreibung

Responsibilities

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.

Benefits

• 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.

Contact Us

We look forward to hearing from you!