DevOps Engineer

  • Parsable
  • San Francisco, CA, USA
  • Jul 15, 2019
Full time Engineering

Job Description

Parsable is looking for a DevOps Engineer to join our team. One day you may be working with our engineers to design a scalable and redundant system for a new software product, while on another you may be writing Python code to automate system recovery. Parsable offers a varied DevOps role working with a small team who get things done without the red tape. If you’re ready to join a fast-growing company and get your hands dirty making a difference, then apply now.


  • AWS: EC2, Cloudfront, RDS, S3, Route53, Elasticache, Redshift, Terraform
  • Kubernetes
  • Logging: Splunk, ELK
  • Configuration Management: Saltstack
  • Languages: GoLang, Python, Ruby, Java
  • Data Stores: PostgreSQL, Elasticsearch, Redis, Redshift
  • Messaging and Coordination: Kafka, Zookeeper
  • Monitoring: Sensu, Grafana, Telegraf, InfluxDB, New Relic
  • Operating System: Linux (Ubuntu/Debian)
  • Load balancing: HAProxy, ELB
  • CI: Jenkins, Circle-CI
  • 5-7 years of experience

Additional Requirements/Soft Skills

  • Love the latest technologies but know that stability, security, and redundancy are important
  • Can scale and support our existing technology stack
  • Have used configuration management systems extensively - we use saltstack
  • Can participate in an on-call rotation
  • Enjoy automating your job by building tooling around our infrastructure (deployment, CI, etc.)
  • Have advanced Linux knowledge
  • Can write fast, maintainable Python code
  • Have advanced experience with the AWS stack but racking servers in a datacenter is not outside your comfort zone
  • Have battle-tested experience with large deployments of PostgreSQL, Elasticsearch, Redis, and Kafka
  • Design robust, scalable and secure systems
  • Have experience with containers in production
  • Can work with other engineers to implement the right platform, tools, and monitoring for their software

Nice To Have

  • Worked with Apache Hadoop stack (HBase, Kudu, Spark, Hive, HDFS)


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