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Description:
Parse.ly is seeking talented backend engineers to join their backend engineering team.
The role involves mastering data engineering technologies like Apache Spark, Storm, Kafka, and Elasticsearch while writing code in Python.
The team is responsible for a real-time analytics infrastructure that processes over 2 million page views per minute from more than 5,000 high-traffic sites.
The backend systems operate on a fleet of cloud servers with thousands of cores for live data processing.
The position requires expanding into petabyte-scale data analysis while ensuring uptime, reliability, and performance of backend streaming data systems.
The company values empowerment, autonomy, collaboration, respect, and open communication among team members.
Responsibilities include writing Python code, analyzing large datasets, brainstorming product ideas, mastering cloud technologies, and participating in on-call rotations.
Requirements:
Candidates must have strong knowledge of Python and a commitment to clean coding practices.
An excitement for working with large-scale data systems (petabyte scale) is essential.
Understanding and interest in building and working on distributed systems is required.
Experience with databases such as Elasticsearch, Redis, Cassandra, and PostgreSQL is necessary.
Strong written communication skills are a must.
Candidates should be comfortable with on-call rotations.
Applicants must be located in North America, South America, or western EMEA (within 5 hours of UTC-5).
Benefits:
The salary range for this position is $70,000-$170,000 USD, with pay reflecting the potential contribution and impact of the candidate.
The company offers a fully-remote work environment with an open vacation policy.
A comprehensive list of benefits is available on the company's Benefits Page, tailored by country.
Employees are part of a diverse and inclusive company culture that prioritizes respect and empathy.
Automattic is committed to diversity, equity, and inclusion, with initiatives to improve representation in the tech industry.