Senior DevOps Engineer
Together Labs | Redwood City, CA | Full Time
Senior DevOps Engineer - Data Team
The Data and Analytics team is focused on creating competitive advantage for IMVU and our customers through novel data infrastructure, metrics, insights and data services. We are a small but rapidly growing analysis and engineering team that builds and leverages state-of-the-art analytics systems. Our work informs decisions and direction for our business, while also impacting our products. The petabytes of data we store and the hundreds of GB of transactional data that we process each day provide a great opportunity to apply machine learning techniques to design powerful and meaningful experiences for our users.
We are looking for a seasoned Cloud Devops Engineer to work closely with our engineering team to enhance, maintain, and monitor our critical data systems.
Develop tools and procedures to monitor and automate system tasks on servers and clusters in the Cloud
Design, build and manage large scale applications and infrastructure in AWS.
Support database environments including replication, log shipping, performance tuning, and backups
Define, develop, and maintain monitoring and reporting infrastructures
Build custom tools that automate day-to-day operational tasks on the AWS platform.
Be accountable for the end to end availability, efficiency, reliability, and security of our Big Data infrastructure in AWS
5+ years of DevOps experience, with a background in software or systems engineering/release automation implementation
Terraform, specifically for automation of infrastructure-as-service, infrastructure-as-code, and deployment pipeline specification
Deep knowledge and experience with CI/CD pipeline tools like Bamboo, Jenkins, and Puppet.
Containerization using Docker and Kubernetes
Experience managing applications in Amazon Web Services and familiarity with all of their core, compute, networking, storage, security, compliance, serverless, and analytics offerings including AWS VPC networking, and IAM roles, etc.
Experience in AWS technologies such as EC2, Cloud formation, EMR Cluster, AWS S3, Splunk, and AWS Analytics.
Experience with Free-to-play/social games
Big data related AWS technologies like EMR, HIVE, Spark, ETL, AWS Glue, Presto, Hadoop, Athena, RedShift
AWS certified: Architect/DevOps/Big Data
Ansible, Airflow, Prometheus, Kafka, Kibana, Grafana