BUG: RecursionError when aligning column MultiIndex
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

When trying to do arithmetic on two dataframes with a common MultiIndex level, I am having a max recursion error.
Please note that if using string column names (ie: labels) instead of ints, I have no recursion error but still a buggy NaN result.

```python
df1 = pd.DataFrame([[1, 2, 3]], columns=['Level1', 'Level2', 'Value'])
df1 = df1.set_index(['Level1', 'Level2']).T
df1
```
![image](https://user-images.githubusercontent.com/1694892/80232081-972e7300-8654-11ea-8daf-1a36b7dfa9e1.png)
```python
df2 = pd.DataFrame([[1, 3]], columns=['Level1', 'Value'])
df2 = df2.set_index(['Level1']).T
df2
```
![image](https://user-images.githubusercontent.com/1694892/80232116-a7465280-8654-11ea-8410-2b3b21986b24.png)
```python
df1 - df2
```
#### RecursionError on atlest pandas 1.0.2 and 1.0.3
![image](https://user-images.githubusercontent.com/1694892/80232163-bfb66d00-8654-11ea-8b3b-c2351d223bc2.png)

#### Expected Output, working fine on pandas 1.0.1
![image](https://user-images.githubusercontent.com/1694892/80233171-5d5e6c00-8656-11ea-8990-19c406fa54df.png)





#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.8.2.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
processor        : Intel64 Family 6 Model 61 Stepping 4, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United States.1252

pandas           : 1.0.3
numpy            : 1.18.3
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 41.2.0
Cython           : None
pytest           : 5.4.1
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.13.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.2.1
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : 5.4.1
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None

</details>
