Lead DevOps Engineer

Described as the "Uber of Content", Social Native is a marketplace technology company that empowers marketers to create, source and optimize authentic visual content in the most efficient way possible. Leveraging the world's first AI-powered creative platform, brands such as Unilever, Adidas, L'Oréal, Crocs, and Nestlé Waters partner with Social Native to improve the performance of their paid and organic social strategy with a combination of Influencer Marketing, Custom Content, and Content Editing solutions. With our recent acquisition of Olapic, we're changing the way marketers evaluate, refine, and optimize their visual content strategy. This move solidifies our goal of delivering an all-in-one platform providing brands with data-driven insights, scales content creation, measures the impact of their work, and optimizes content and influencer strategy for even greater results.

Social Native is looking for a curious, motivated, and solution-oriented DevOps or Site Reliability Engineer to join our Engineering Operations team.

Responsibilities

1. Provide leadership to the DevOps/SRE team at Social Native
2. Work closely with the Product team for quarterly and sprint planning
3. Responsible for the uptime and availability of the platform
4. Work closely with developers to implement best practices on privacy, security, logging, archiving of data
5. Monitor cloud services usage and participate in annual planning exercises

Competencies Required

1. Bachelor's Degree in Computer Science or equivalent
2. 8+ years' experience in SRE/DevOps
3. SQL database maintenance
4. Elasticsearch cluster maintenance
5. Experience managing key/value databases (Redis preferred)
6. Understanding of event-driven microservices, Kafka, and/or Saga pattern
7. Excellent SQL / Elasticsearch query skills
8. Mature understanding of data analytic platforms (Kibana, Splunk)
9. Mature understanding of Kubernetes
10. Opinionated about Kubernetes best practices
11. Familiar with task orchestration tools and workflow engines such as Argo, Airflow, KubeFlow, or MLFlow
12. Understands how to use Data Lakes and Data Warehouses
13. Understands DB query performance
14. Good scripting skills (Python, Bash, Ruby)

Nice to Have

1. Experience building CI/CD pipelines
2. Experience managing Openshift clusters