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