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DevOps Kubernetes Engineer

Plano, ID ✦ New IT Jobs
Salary & Market Data
Matched to BLS occupational data · Idaho

Job Description

Job Description

Job Opening : DevOps Kubernetes Engineer

Location : Plano, TX (Onsite)

Full Time


Job description

  • Design, build, and operate large-scale data platforms powered by Apache Airflow
  • Manage and optimize hundreds to thousands of DAGs with high task throughput
  • Drive platform reliability, scalability, and performance improvements
  • Own end-to-end lifecycle: deployment, monitoring, incident response, and roadmap execution
  • Collaborate with cross-functional teams to enable robust, secure, and efficient data workflows
  • Strong hands-on experience with DAG design, testing & idempotency
  • Deep knowledge of sensors, deferrable operators, dynamic task mapping, SLAs, retries, backfills
  • Experience with cross-DAG dependencies, task groups, datasets, pools, and queues
  • Experience running Airflow on Kubernetes (Helm, autoscaling, tuning)
  • Understanding of network policies, PDBs, and deployment strategies (blue-green / canary)
  • Automation-first mindset with Terraform, Helm, GitOps (Argo CD / Flux), CI/CD
  • Strong Python skills for DAGs, operators, and utilities
  • Familiarity with Bash; exposure to Go or Java is a plus
  • Hands-on with Prometheus, Grafana, StatsD, and logging systems
  • Experience with capacity planning, performance tuning, and reliability practices
  • Experience with Azure (preferred) or any major cloud
  • Exposure to Snowflake, BigQuery, Redshift, Databricks, Spark, EMR/Dataproc
  • Solid understanding of IAM, VPC networking, and storage (S3/GCS/ADLS)
  • Knowledge of SSO/OIDC, RBAC, secrets management (Vault/Secrets Manager)
  • Strong focus on auditing, least privilege, and governance
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