Position: Data Engineering Sr DevOps Engineer-USA (CA) Company-TOP 3 Family Apps
Company: UNIT.Recruitment
Experience required: 3y
English level: upper

**About Company**
The Company is on a mission to bring families closer— and that starts with ensuring that loved ones are safe and secure. That’s why millions of families across 140 countries trust us to keep them connected each day, and in life’s unpredictable moments.
From real-time location sharing and notifications, to driving safety features like Crash Detection and Roadside Assistance, we create tools that remove uncertainty from modern life — so families can feel free, together.

**About The Team**
The Optimization Team is laser focused on wringing any and all inefficiencies out of our large scale production infrastructure.  This is a multidisciplinary team that spans from the mobile clients deployed around the world, to the cloud APIs that power near real time emergency services dispatch, to the large scale data analytics environment that guides our work.
About the Job

**What You’ll Do**
As part of the Optimization Team you will be continuously looking across the product infrastructure and deployed systems for areas of inefficiency.  Some days those inefficiencies may be as simple as AWS resources that were abandoned, other days you’ll find yourself looking at multi-stage data pipelines crossing multiple teams and accounts.
 
**What We’re Looking For**
Bachelor's in Computer Science, Engineering, related field or equivalent practical experience
Experience with distributed, columnar and/or analytic oriented databases or distributed data processing frameworks.
Experience with streaming systems like Kafka, Kinesis, etc.
Experience with asynchronous queue systems, NSQ, RabbitMQ
Experience with Amazon Web Services: Redshift, S3, Glue, EMR, or Athena
Experience with containerized applications on AWS
Experience with Infrastructure as code tools: Terraform, CloudFormation; config management/provisioning tools: Ansible, Chef, etc.
Excellent troubleshooting, attention to detail