diff --git a/tests/load/Dockerfile b/tests/load/Dockerfile
index a8287adbd..87ab12475 100644
--- a/tests/load/Dockerfile
+++ b/tests/load/Dockerfile
@@ -29,10 +29,10 @@ RUN poetry install --without dev --no-interaction --no-ansi
 RUN useradd --create-home locust
 WORKDIR /home/locust
 
-COPY ./locustfile.py locustfile.py
+COPY ./locustfiles ./locustfiles
 
 # Expose ports for the web UI and the locust master
 EXPOSE 8089 5557
 
 USER locust
-ENTRYPOINT locust -f locustfile.py --websocket_url ${SERVER_URL} --endpoint_url ${ENDPOINT_URL}
+ENTRYPOINT locust -f "locustfiles/locustfile.py,locustfiles/load.py" --websocket_url ${SERVER_URL} --endpoint_url ${ENDPOINT_URL}
diff --git a/tests/load/README.md b/tests/load/README.md
index a3ac2e996..874666927 100644
--- a/tests/load/README.md
+++ b/tests/load/README.md
@@ -62,6 +62,7 @@ make load
 
 * In a browser navigate to `http://localhost:8089/`
 * Set up the load test parameters:
+    * ShapeClass: Default
     * Number of users: 1
     * Spawn rate: 1
     * Host: 'https://updates-autopush.stage.mozaws.net'
@@ -148,10 +149,8 @@ The load tests can be executed from the [contextual-services-test-eng cloud shel
   ```
 
 * Set up the load test parameters:
-    * Number of users: 83300
-    * Spawn rate: 694
+    * ShapeClass: 'AutopushLoadTestShape'
     * Host: 'https://updates-autopush.stage.mozaws.net'
-    * Duration (Optional): 10m
     * Websocket URL: 'wss://autopush.stage.mozaws.net'
     * Endpoint URL: 'https://updates-autopush.stage.mozaws.net'
 * Select "Start Swarming"
diff --git a/tests/load/docker-compose.yml b/tests/load/docker-compose.yml
index a114abe27..cb51202b6 100644
--- a/tests/load/docker-compose.yml
+++ b/tests/load/docker-compose.yml
@@ -7,10 +7,8 @@ services:
     ports:
       - "8089:8089"
     environment:
+      LOCUST_USERCLASS_PICKER: true
       LOCUST_HOST: ${AUTOPUSH_HOST}
-      LOCUST_USERS: "1"
-      LOCUST_SPAWN_RATE: "1"
-      LOCUST_RUN_TIME: "10m"
       LOCUST_LOGLEVEL: "INFO"
       SERVER_URL: ${SERVER_URL}
       ENDPOINT_URL: ${ENDPOINT_URL}
diff --git a/tests/load/kubernetes-config/locust-master-controller.yml b/tests/load/kubernetes-config/locust-master-controller.yml
index d6d8ad9d7..bfe24da3f 100644
--- a/tests/load/kubernetes-config/locust-master-controller.yml
+++ b/tests/load/kubernetes-config/locust-master-controller.yml
@@ -24,12 +24,6 @@ spec:
               value:
             - name: LOCUST_CSV
               value:
-            - name: LOCUST_USERS
-              value:
-            - name: LOCUST_SPAWN_RATE
-              value:
-            - name: LOCUST_RUN_TIME
-              value:
             - name: LOCUST_LOGLEVEL
               value:
             - name: LOCUST_LOGFILE
@@ -54,4 +48,4 @@ spec:
               memory: 2Gi
             requests:
               cpu: 1
-              memory: 1Gi
\ No newline at end of file
+              memory: 1Gi
diff --git a/tests/load/locustfiles/load.py b/tests/load/locustfiles/load.py
new file mode 100644
index 000000000..a945f55e9
--- /dev/null
+++ b/tests/load/locustfiles/load.py
@@ -0,0 +1,81 @@
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+"""Load test shape module."""
+import math
+from typing import Callable, Type
+
+import numpy
+from locust import LoadTestShape, User
+from locustfile import AutopushUser
+
+TickTuple = tuple[int, float, list[Type[User]] | None]
+
+
+class QuadraticTrend:
+    """A class that defines a quadratic LoadTestShape trend."""
+
+    a: float
+    b: float
+    c: float
+
+    def __init__(self, max_run_time: int, max_users: int):
+        self.a, self.b, self.c = numpy.polyfit(
+            [0, (max_run_time / 2), max_run_time], [0, max_users, 0], 2
+        )
+
+    def calculate_users(self, run_time: int) -> int:
+        """Determined the number of active users given a run time.
+
+        Returns:
+            int: The number of users
+        """
+        return int(round((self.a * math.pow(run_time, 2)) + (self.b * run_time) + self.c))
+
+
+class AutopushLoadTestShape(LoadTestShape):
+    """A load test shape class for Autopush (Duration: 10 minutes, Users: 55500).
+    Note: The Shape class assumes that the workers can support the generated spawn rates.
+    """
+
+    MAX_RUN_TIME: int = 600  # 10 minutes
+    MAX_USERS: int = 83300
+    trend: QuadraticTrend
+    user_classes: list[Type[User]] = [AutopushUser]
+
+    def __init__(self):
+        super(LoadTestShape, self).__init__()
+
+        self.trend = QuadraticTrend(self.MAX_RUN_TIME, self.MAX_USERS)
+
+    def _get_calculate_users_function(self) -> Callable[[int], int]:
+        a, b, c = numpy.polyfit(
+            [0, (self.MAX_RUN_TIME / 2), self.MAX_RUN_TIME], [0, self.MAX_USERS, 0], 2
+        )
+
+        def calculation(x: int) -> int:
+            return int(round((a * math.pow(x, 2)) + (b * x) + c))
+
+        return calculation
+
+    def tick(self) -> TickTuple | None:
+        """Override defining the desired distribution for Autopush load testing.
+
+        Returns:
+            TickTuple: Distribution parameters
+                user_count: Total user count
+                spawn_rate: Number of users to start/stop per second when changing
+                            number of users
+                user_classes: None or a List of user classes to be spawned
+            None: Instruction to stop the load test
+        """
+        run_time: int = self.get_run_time()
+        if run_time > self.MAX_RUN_TIME:
+            return None
+
+        users: int = self.trend.calculate_users(run_time)
+        # The spawn_rate minimum value is 1
+        spawn_rate: int = max(abs(users - self.get_current_user_count()), 1)
+
+        return users, spawn_rate, self.user_classes
diff --git a/tests/load/locustfile.py b/tests/load/locustfiles/locustfile.py
similarity index 100%
rename from tests/load/locustfile.py
rename to tests/load/locustfiles/locustfile.py
diff --git a/tests/load/poetry.lock b/tests/load/poetry.lock
index 8a8f64f7e..b02f7d867 100644
--- a/tests/load/poetry.lock
+++ b/tests/load/poetry.lock
@@ -962,6 +962,40 @@ files = [
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
 ]
 
+[[package]]
+name = "numpy"
+version = "1.25.2"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:db3ccc4e37a6873045580d413fe79b68e47a681af8db2e046f1dacfa11f86eb3"},
+    {file = "numpy-1.25.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:90319e4f002795ccfc9050110bbbaa16c944b1c37c0baeea43c5fb881693ae1f"},
+    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfe4a913e29b418d096e696ddd422d8a5d13ffba4ea91f9f60440a3b759b0187"},
+    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f08f2e037bba04e707eebf4bc934f1972a315c883a9e0ebfa8a7756eabf9e357"},
+    {file = "numpy-1.25.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bec1e7213c7cb00d67093247f8c4db156fd03075f49876957dca4711306d39c9"},
+    {file = "numpy-1.25.2-cp310-cp310-win32.whl", hash = "sha256:7dc869c0c75988e1c693d0e2d5b26034644399dd929bc049db55395b1379e044"},
+    {file = "numpy-1.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:834b386f2b8210dca38c71a6e0f4fd6922f7d3fcff935dbe3a570945acb1b545"},
+    {file = "numpy-1.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5462d19336db4560041517dbb7759c21d181a67cb01b36ca109b2ae37d32418"},
+    {file = "numpy-1.25.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c5652ea24d33585ea39eb6a6a15dac87a1206a692719ff45d53c5282e66d4a8f"},
+    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d60fbae8e0019865fc4784745814cff1c421df5afee233db6d88ab4f14655a2"},
+    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e7f0f7f6d0eee8364b9a6304c2845b9c491ac706048c7e8cf47b83123b8dbf"},
+    {file = "numpy-1.25.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:bb33d5a1cf360304754913a350edda36d5b8c5331a8237268c48f91253c3a364"},
+    {file = "numpy-1.25.2-cp311-cp311-win32.whl", hash = "sha256:5883c06bb92f2e6c8181df7b39971a5fb436288db58b5a1c3967702d4278691d"},
+    {file = "numpy-1.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:5c97325a0ba6f9d041feb9390924614b60b99209a71a69c876f71052521d42a4"},
+    {file = "numpy-1.25.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b79e513d7aac42ae918db3ad1341a015488530d0bb2a6abcbdd10a3a829ccfd3"},
+    {file = "numpy-1.25.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:eb942bfb6f84df5ce05dbf4b46673ffed0d3da59f13635ea9b926af3deb76926"},
+    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e0746410e73384e70d286f93abf2520035250aad8c5714240b0492a7302fdca"},
+    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7806500e4f5bdd04095e849265e55de20d8cc4b661b038957354327f6d9b295"},
+    {file = "numpy-1.25.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8b77775f4b7df768967a7c8b3567e309f617dd5e99aeb886fa14dc1a0791141f"},
+    {file = "numpy-1.25.2-cp39-cp39-win32.whl", hash = "sha256:2792d23d62ec51e50ce4d4b7d73de8f67a2fd3ea710dcbc8563a51a03fb07b01"},
+    {file = "numpy-1.25.2-cp39-cp39-win_amd64.whl", hash = "sha256:76b4115d42a7dfc5d485d358728cdd8719be33cc5ec6ec08632a5d6fca2ed380"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1a1329e26f46230bf77b02cc19e900db9b52f398d6722ca853349a782d4cff55"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c3abc71e8b6edba80a01a52e66d83c5d14433cbcd26a40c329ec7ed09f37901"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:1b9735c27cea5d995496f46a8b1cd7b408b3f34b6d50459d9ac8fe3a20cc17bf"},
+    {file = "numpy-1.25.2.tar.gz", hash = "sha256:fd608e19c8d7c55021dffd43bfe5492fab8cc105cc8986f813f8c3c048b38760"},
+]
+
 [[package]]
 name = "packaging"
 version = "23.1"
@@ -1368,4 +1402,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "c231d321e7a1dad8baf255e947d1c3b35f05c12d02b144a72c17d70d4ebdbfc1"
+content-hash = "4b3de0486bed96ef508a2314542ba3efdfa84daf7e2fee43d92b517e9a6ee555"
diff --git a/tests/load/pyproject.toml b/tests/load/pyproject.toml
index 8860689b9..d75733884 100644
--- a/tests/load/pyproject.toml
+++ b/tests/load/pyproject.toml
@@ -30,6 +30,7 @@ license = "Mozilla Public License Version 2.0"
 [tool.poetry.dependencies]
 python = "^3.10"
 locust = "^2.15.1"
+numpy = "^1.25.2"
 websocket-client = "1.5.2"
 
 [tool.poetry.group.dev.dependencies]
diff --git a/tests/load/setup_k8s.sh b/tests/load/setup_k8s.sh
index 0003cc397..4e92f7342 100644
--- a/tests/load/setup_k8s.sh
+++ b/tests/load/setup_k8s.sh
@@ -28,9 +28,6 @@ echo "Image tag for locust is set to: ${LOCUST_IMAGE_TAG}"
 ENVIRONMENT_VARIABLES=(
   "TARGET_HOST,$TARGET"
   'LOCUST_CSV,autopush'
-  'LOCUST_USERS,"83300"'
-  'LOCUST_SPAWN_RATE,"694"'
-  'LOCUST_RUN_TIME,"600"' # 10 minutes
   'LOCUST_LOGLEVEL,INFO'
   'LOCUST_LOGFILE,autopush.log'
   'SERVER_URL,wss://autopush.stage.mozaws.net'