Senior Cloud Platform Engineer — Kafka & Kubernetes

Medica

Hopkins (MN)

On-site

USD 88,800 - 152,300

Full time

14 days+

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Benefits offered by this job

Total rewards package

Job summary

Medica is seeking a Senior Platform & Integration Engineer to provide technical leadership in Kafka, AKS/Kubernetes, and Azure cloud services, driving scalable, secure enterprise platforms. The role focuses on event‑driven architecture, cloud modernization, and automation across teams.

Ideal candidates will have hands‑on experience with Kafka across on‑prem and Confluent Cloud, plus strong scripting and CI/CD capabilities to support reliable, observable platforms and rapid delivery of services.

Qualifications

  • Bachelor's degree or equivalent in a related field.
  • 5+ years of work experience beyond degree.
  • 5+ years in platform engineering, cloud operations, or enterprise integration.
  • Hands-on with Kafka, Confluent Cloud, AKS/Kubernetes, Azure, Azure DevOps, and GitHub Actions.

Responsibilities

  • Administer, support, and optimize Kafka platforms across on‑premises and Confluent Cloud.
  • Manage Azure Kubernetes Service (AKS) and Kubernetes platforms, including cluster admin, networking, RBAC, autoscaling, and security.
  • Design, develop, and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.
  • Drive automation using IaC to improve provisioning and deployment.
  • Implement observability using Splunk, Dynatrace, Prometheus, and Grafana for reliability.
  • Lead incident management and continual service improvement.
  • Collaborate with cross‑functional teams to advance cloud modernization and platform engineering.

Skills

Kafka administration
AKS/Kubernetes
Azure cloud
CI/CD pipelines
Infrastructure as Code
Observability
Technical leadership

Education

Bachelor's degree or equivalent

Tools

Terraform
ARM Templates
Bicep
Confluent Cloud

Job description

Medica is seeking a Senior Platform & Integration Engineer to provide technical leadership in Kafka, AKS/Kubernetes, and Azure cloud services, driving scalable, secure enterprise platforms. The role focuses on event‑driven architecture, cloud modernization, and automation across teams.

Ideal candidates will have hands‑on experience with Kafka across on‑prem and Confluent Cloud, plus strong scripting and CI/CD capabilities to support reliable, observable platforms and rapid delivery of services.

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