DevOps Kubernetes Engineer
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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