diff --git a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
index 65a8f8269966..dcde26bad2a5 100644
--- a/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
+++ b/resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
@@ -23,6 +23,7 @@ import org.apache.spark.deploy.k8s.Constants._
 import org.apache.spark.internal.Logging
 import org.apache.spark.internal.config.{PYSPARK_DRIVER_PYTHON, PYSPARK_PYTHON}
 import org.apache.spark.internal.config.ConfigBuilder
+import org.apache.spark.network.util.ByteUnit
 
 private[spark] object Config extends Logging {
 
@@ -675,6 +676,42 @@ private[spark] object Config extends Logging {
       .checkValue(value => value > 0, "Maximum number of pending pods should be a positive integer")
       .createWithDefault(Int.MaxValue)
 
+  val KUBERNETES_JOB_QUEUE = ConfigBuilder("spark.kubernetes.job.queue")
+    .doc("The name of the queue to which the job is submitted. This info " +
+      "will be stored in configuration and passed to specified feature step.")
+    .version("3.3.0")
+    .stringConf
+    .createWithDefault("default")
+
+  val KUBERNETES_JOB_MIN_CPU = ConfigBuilder("spark.kubernetes.job.minCPU")
+    .doc("The minimum CPU for running the job. This info " +
+      "will be stored in configuration and passed to specified feature step.")
+    .version("3.3.0")
+    .doubleConf
+    .createWithDefault(2.0)
+
+  val KUBERNETES_JOB_MIN_MEMORY = ConfigBuilder("spark.kubernetes.job.minMemory")
+    .doc("The minimum memory for running the job, in MiB unless otherwise specified. This info " +
+      "will be stored in configuration and passed to specified feature step.")
+    .version("3.3.0")
+    .bytesConf(ByteUnit.MiB)
+    .createWithDefaultString("3g")
+
+  val KUBERNETES_JOB_MIN_MEMBER = ConfigBuilder("spark.kubernetes.job.minMember")
+    .doc("The minimum number of pods running in a job. This info " +
+      "will be stored in configuration and passed to specified feature step.")
+    .version("3.3.0")
+    .intConf
+    .checkValue(value => value > 0, "The minimum number should be a positive integer")
+    .createWithDefault(1)
+
+  val KUBERNETES_JOB_PRIORITY_CLASS_NAME = ConfigBuilder("spark.kubernetes.job.priorityClassName")
+    .doc("The priority of the running job. This info " +
+      "will be stored in configuration and passed to specified feature step.")
+    .version("3.3.0")
+    .stringConf
+    .createOptional
+
   val KUBERNETES_DRIVER_LABEL_PREFIX = "spark.kubernetes.driver.label."
   val KUBERNETES_DRIVER_ANNOTATION_PREFIX = "spark.kubernetes.driver.annotation."
   val KUBERNETES_DRIVER_SERVICE_ANNOTATION_PREFIX = "spark.kubernetes.driver.service.annotation."