Headquarters: Remote
URL: https://automattic.com/

• We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.
• We work as a global and distributed workforce resulting in a unique way of working built around our creed.
• We offer flexible work arrangements allowing our team members to work when they feel best.
• We welcome collaboration, and you can be involved in any discussion across our many communication channels.

• Have hands-on experience with Scala, Spark, and Python to implement large-scale data flows.
• Have production experience with open source technologies like Hadoop, Hive, Kafka, Airflow, HBase, etc.
• Have experience in managing and tuning Hadoop and related services in production.
• Care about architecture, unit testing, and building reliable infrastructure and pipelines.
• Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, and develop technical roadmaps for future applications.
• Bring programming skills in multiple programming languages and paradigms. In addition to Scala and Python, you are likely to encounter Java, PHP, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.
• Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.
• Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year. Important note: at the moment all company travel has been suspended due to COVID-19. Automattic is monitoring government and health agency reports closely and responding however possible to prioritize safety and well-being for our team and communities.

To apply: https://weworkremotely.com/remote-jobs/automattic-senior-machine-learning-ops-engineer