diff --git a/ci/gpu/java.sh b/ci/gpu/java.sh
new file mode 100755
index 00000000000..8c4b597d12d
--- /dev/null
+++ b/ci/gpu/java.sh
@@ -0,0 +1,145 @@
+#!/bin/bash
+# Copyright (c) 2018-2020, NVIDIA CORPORATION.
+##############################################
+# cuDF GPU build and test script for CI      #
+##############################################
+set -e
+NUMARGS=$#
+ARGS=$*
+
+# Arg parsing function
+function hasArg {
+    (( ${NUMARGS} != 0 )) && (echo " ${ARGS} " | grep -q " $1 ")
+}
+
+# Set path and build parallel level
+export PATH=/opt/conda/bin:/usr/local/cuda/bin:$PATH
+export PARALLEL_LEVEL=${PARALLEL_LEVEL:-4}
+
+# Set home to the job's workspace
+export HOME="$WORKSPACE"
+
+# Switch to project root; also root of repo checkout
+cd "$WORKSPACE"
+
+# Determine CUDA release version
+export CUDA_REL=${CUDA_VERSION%.*}
+export CONDA_ARTIFACT_PATH="$WORKSPACE/ci/artifacts/cudf/cpu/.conda-bld/"
+
+# Parse git describe
+export GIT_DESCRIBE_TAG=`git describe --tags`
+export MINOR_VERSION=`echo $GIT_DESCRIBE_TAG | grep -o -E '([0-9]+\.[0-9]+)'`
+
+################################################################################
+# TRAP - Setup trap for removing jitify cache
+################################################################################
+
+# Set `LIBCUDF_KERNEL_CACHE_PATH` environment variable to $HOME/.jitify-cache
+# because it's local to the container's virtual file system, and not shared with
+# other CI jobs like `/tmp` is
+export LIBCUDF_KERNEL_CACHE_PATH="$HOME/.jitify-cache"
+
+function remove_libcudf_kernel_cache_dir {
+    EXITCODE=$?
+    gpuci_logger "TRAP: Removing kernel cache dir: $LIBCUDF_KERNEL_CACHE_PATH"
+    rm -rf "$LIBCUDF_KERNEL_CACHE_PATH" \
+        || gpuci_logger "[ERROR] TRAP: Could not rm -rf $LIBCUDF_KERNEL_CACHE_PATH"
+    exit $EXITCODE
+}
+
+# Set trap to run on exit
+gpuci_logger "TRAP: Set trap to remove jitify cache on exit"
+trap remove_libcudf_kernel_cache_dir EXIT
+
+mkdir -p "$LIBCUDF_KERNEL_CACHE_PATH" \
+    || gpuci_logger "[ERROR] TRAP: Could not mkdir -p $LIBCUDF_KERNEL_CACHE_PATH"
+
+################################################################################
+# SETUP - Check environment
+################################################################################
+
+gpuci_logger "Check environment variables"
+env
+
+gpuci_logger "Check GPU usage"
+nvidia-smi
+
+gpuci_logger "Activate conda env"
+. /opt/conda/etc/profile.d/conda.sh
+conda activate rapids
+
+gpuci_logger "Check conda environment"
+conda info
+conda config --show-sources
+conda list --show-channel-urls
+
+gpuci_logger "Install dependencies"
+gpuci_conda_retry install -y \
+                  "cudatoolkit=$CUDA_REL" \
+                  "rapids-build-env=$MINOR_VERSION.*" \
+                  "rapids-notebook-env=$MINOR_VERSION.*" \
+                  "dask-cuda=${MINOR_VERSION}" \
+                  "rmm=$MINOR_VERSION.*" \
+                  "ucx-py=0.21.*" \
+                  "openjdk=8.*" \
+                  "maven"
+
+# https://docs.rapids.ai/maintainers/depmgmt/
+# gpuci_conda_retry remove --force rapids-build-env rapids-notebook-env
+# gpuci_conda_retry install -y "your-pkg=1.0.0"
+
+
+gpuci_logger "Check compiler versions"
+python --version
+$CC --version
+$CXX --version
+
+gpuci_logger "Check conda environment"
+conda info
+conda config --show-sources
+conda list --show-channel-urls
+
+function install_dask {
+    # Install the main version of dask, distributed, and streamz
+    gpuci_logger "Install the main version of dask, distributed, and streamz"
+    set -x
+    pip install "git+https://github.com/dask/distributed.git@main" --upgrade --no-deps
+    pip install "git+https://github.com/dask/dask.git@main" --upgrade --no-deps
+    # Need to uninstall streamz that is already in the env.
+    pip uninstall -y streamz
+    pip install "git+https://github.com/python-streamz/streamz.git@master" --upgrade --no-deps
+    set +x
+}
+
+################################################################################
+# INSTALL - Install libcudf artifacts
+################################################################################
+
+export LIB_BUILD_DIR="$WORKSPACE/ci/artifacts/cudf/cpu/libcudf_work/cpp/build"
+export CUDF_ROOT=${LIB_BUILD_DIR}
+export LD_LIBRARY_PATH="$LIB_BUILD_DIR:$CONDA_PREFIX/lib:$LD_LIBRARY_PATH"
+
+CUDF_CONDA_FILE=`find ${CONDA_ARTIFACT_PATH} -name "libcudf-*.tar.bz2"`
+CUDF_CONDA_FILE=`basename "$CUDF_CONDA_FILE" .tar.bz2` #get filename without extension
+CUDF_CONDA_FILE=${CUDF_CONDA_FILE//-/=} #convert to conda install
+KAFKA_CONDA_FILE=`find ${CONDA_ARTIFACT_PATH} -name "libcudf_kafka-*.tar.bz2"`
+KAFKA_CONDA_FILE=`basename "$KAFKA_CONDA_FILE" .tar.bz2` #get filename without extension
+KAFKA_CONDA_FILE=${KAFKA_CONDA_FILE//-/=} #convert to conda install
+
+gpuci_logger "Installing $CUDF_CONDA_FILE & $KAFKA_CONDA_FILE"
+conda install -c ${CONDA_ARTIFACT_PATH} "$CUDF_CONDA_FILE" "$KAFKA_CONDA_FILE"
+
+install_dask
+
+################################################################################
+# TEST - Run java tests
+################################################################################
+
+gpuci_logger "Check GPU usage"
+nvidia-smi
+
+gpuci_logger "Running Java Tests"
+cd ${WORKSPACE}/java
+mvn test -B -DCUDF_JNI_ARROW_STATIC=OFF
+
+return ${EXITCODE}