**Apache Airflow version**: 1.10.12

**Kubernetes version** : 1.17.9

**Environment**:

- **Cloud provider or hardware configuration**: Azure Kubernetes Service
- **OS** (e.g. from /etc/os-release): Linux
- **Install tools**: Helm chart (/chart in repo) 
- **Others**:

**What happened**:
Pod cannot run since `airflow-cleanup-pods` is not in $PATH
```
Error: failed to start container "airflow-cleanup-pods": Error response from daemon: OCI runtime create failed: container_linux.go:349: starting container process caused "exec: \"airflow-cleanup-pods\": executable file not found in $PATH": unknown
```

**What you expected to happen**: 
Cleanup job pod runs

<!-- What do you think went wrong? -->

**How to reproduce it**:
* Deploy Helm Chart
* Manually trigger `airflow-cleanup ` CronJob 
* See it cannot run since `airflow-cleanup-pods` is not in $PATH
airflow/cli/cli_parser.py
name='delete',
        help="Delete all DB records related to the specified DAG",
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_delete'),
        args=(ARG_DAG_ID, ARG_YES),
    ),
    ActionCommand(
        name='show',
        help="Displays DAG's tasks with their dependencies",
        description=("The --imgcat option only works in iTerm.\n"
                     "\n"
                     "For more information, see: https://www.iterm2.com/documentation-images.html\n"
                     "\n"
                     "The --save option saves the result to the indicated file.\n"
                     "\n"
                     "The file format is determined by the file extension. "
                     "For more information about supported "
                     "format, see: https://www.graphviz.org/doc/info/output.html\n"
                     "\n"
                     "If you want to create a PNG file then you should execute the following command:\n"
                     "airflow dags show <DAG_ID> --save output.png\n"
                     "\n"
                     "If you want to create a DOT file then you should execute the following command:\n"
                     "airflow dags show <DAG_ID> --save output.dot\n"),
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_show'),
        args=(ARG_DAG_ID, ARG_SUBDIR, ARG_SAVE, ARG_IMGCAT,),
    ),
    ActionCommand(
        name='backfill',
        help="Run subsections of a DAG for a specified date range",
        description=(