Most of the product team is located in US/Eastern and US/Central timezones. We'll give preference to those timezones, because even though we operate on a distributed/async model, we like to have timezone overlap for f2f (video) collaboration and pairing. We prefer to hire US-based candidates, but we'll consider Canada, Mexico, and Argentina for this role.
What you'll do
- Own all code related to automated build-out of our cloud infrastructure. This includes code to build our EC2 boxes, monitoring/alerting scripts, cost reporting tools, and more.
- Evaluate new technologies that assist Parse.ly’s data engineering and user experience teams reduce toil through automation. Examples of technologies evaluated in the past: Datadog APM, Varnish, Docker, Vagrant, AWS ElastiCache, AWS RDS, Logstash/Kibana, PgBouncer.
- Assist in the rollout of critical services. For example, one of our Infrastructure Engineers recently assisted with the upgrade and migration of our central datastore, containing tens of terabytes and billions of records. This upgrade happened with no customer service interruptions and no server downtime.
- Gain operational expertise for core data infrastructure technologies, including Amazon S3, Kafka, Zookeeper, Storm, Cassandra, Elasticsearch, Redis, Postgres, and Spark.
- Report on improvement of key Service-Level Objectives (SLOs) within Parse.ly, such as API response times, service uptime, end-to-end data processing latency, and more.
And it’s a major bonus if you have:
- Past experience programming in Python
- Depth of experience with AWS
- Deep love of UNIX/Linux
- Comfort with shell scripting and server automation
- Experience with Terraform and Ansible