Summary
Join Parse.ly's backend engineering team as a senior Python programmer and contribute to a real-time analytics infrastructure processing massive datasets.  You will write Python code using standard methodologies, analyze data at scale, brainstorm new product ideas, master cloud technologies, and participate in on-call rotations.  The role requires strong Python knowledge, commitment to clean coding, experience with large-scale data systems and databases, and strong written communication.  The company offers a fully remote work environment with an open vacation policy and a competitive salary range.
Requirements
- Strong knowledge of Python
 - Commitment to clean coding practices
 - Excitement to work with large-scale data systems (petabyte scale)
 - Understanding and interest in building and working on distributed systems
 - Experience with databases (Elasticsearch, Redis, Cassandra, PostgreSQL)
 - Strong written communication skills
 - Comfortable with on-call rotations
 - Located in North America, South America, or western EMEA (timezone within 5 hours east or west of UTC-5)
 
Responsibilities
- Write Python code using standard methodologies
 - Analyze data at an extensive scale
 - Brainstorm new product ideas and directions with the team and customers
 - Master cloud technologies and systems
 - Participate in the teamβs on-call rotation
 
Preferred Qualifications
- Knowledge of Frameworks in the Python ecosystem (Django, FastAPI, Pydantic)
 - Experience with distributed systems and cloud computing (preferably AWS)
 - Knowledge of data processing frameworks (Kafka, Storm, Spark, or similar)
 - Experience working with large-scale data systems (petabyte scale)
 - Strong UNIX/Linux knowledge and experience
 
Benefits
- Salary range: $70,000-$170,000 USD
 - Fully-remote company with an open vacation policy