**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
ActionCommand(
        name='report',
        help='Show DagBag loading report',
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_report'),
        args=(ARG_SUBDIR, ARG_OUTPUT),
    ),
    ActionCommand(
        name='list-runs',
        help="List DAG runs given a DAG id",
        description=(
            "List DAG runs given a DAG id. If state option is given, it will only search for all the "
            "dagruns with the given state. If no_backfill option is given, it will filter out all "
            "backfill dagruns for given dag id. If start_date is given, it will filter out all the "
            "dagruns that were executed before this date. If end_date is given, it will filter out "
            "all the dagruns that were executed after this date. "
        ),
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_list_dag_runs'),
        args=(ARG_DAG_ID_OPT, ARG_NO_BACKFILL, ARG_STATE, ARG_OUTPUT, ARG_START_DATE, ARG_END_DATE),
    ),
    ActionCommand(
        name='list-jobs',
        help="List the jobs",
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_list_jobs'),
        args=(ARG_DAG_ID_OPT, ARG_STATE, ARG_LIMIT, ARG_OUTPUT),
    ),
    ActionCommand(
        name='state',
        help="Get the status of a dag run",
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_state'),
        args=(ARG_DAG_ID, ARG_EXECUTION_DATE, ARG_SUBDIR),