Senior Platform Engineer - Cloud, Kubernetes & Data Infra

DT

Durham (NC)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Digital Turbine is seeking a Senior Infrastructure Engineer to design and operate large-scale distributed systems and data platforms, enabling reliable, scalable, and cost-efficient operations across the OneDT initiative. This role focuses on building a robust platform with strong emphasis on observability and automation.

You will help migrate to GitOps/ArgoCD, develop unified CI/CD pipelines, and contribute to ML and data infrastructure in collaboration with product and engineering teams.

Qualifications

  • 8+ years in infrastructure or backend engineering building robust distributed systems.
  • Deep cloud experience (AWS or GCP; Azure a plus) with Go, Java, Python, or Scala.
  • Hands-on Kubernetes infrastructure experience.
  • Experience with data/ML infra: Spark, Kafka, Databricks or similar.
  • IaC, CI/CD, GitOps, and modern observability tooling.

Responsibilities

  • Design, build, and operate large-scale distributed systems and data platforms.
  • Drive OneDT standardization: GitOps/ArgoCD and unified CI/CD pipelines.
  • Build and operate Kubernetes-based infrastructure, including Spark-on-K8s.
  • Implement ML and data-pipeline tooling and workflows.
  • Champion observability, automation, and cost optimization; lead on-call rotations.
  • Participate in incident response and blameless postmortems.

Skills

Go
Java
Python
Scala
Kubernetes
CI/CD
GitOps
Observability
On-call

Tools

Databricks
Spark
Kafka
CI/CD tools

Job description

Digital Turbine is seeking a Senior Infrastructure Engineer to design and operate large-scale distributed systems and data platforms, enabling reliable, scalable, and cost-efficient operations across the OneDT initiative. This role focuses on building a robust platform with strong emphasis on observability and automation.

You will help migrate to GitOps/ArgoCD, develop unified CI/CD pipelines, and contribute to ML and data infrastructure in collaboration with product and engineering teams.

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