Staff Platform Engineer (SRE, DevOps)

Tatari•San Francisco, CA

7h•$180,000 - $210,000•Hybrid

About The Position

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. We are looking for a Staff Platform Engineer to join our Engineering team. You will collaborate closely with our application engineering, data science, and analytics teams to understand and manage our infrastructure needs. This is a great opportunity to flex your skills across operations, application & data infrastructure, security and performance. Working with a small team, you will help drive the goals and metrics for your area and contribute to technology and architecture decisions. Unlike a more narrowly specialized role, this job affords a lot of agency and the opportunity to work with users across a number of different disciplines.

Requirements

5+ years of experience working in cloud-based infrastructure. (AWS preferred)
Experience with Auto Scaling, CDNs, DNS, Load Balancers, Multi Region and Multi-Tenant Topologies, Proxy Servers, and WAFs
Strong experience with Linux, shell/bash and Python scripting
Experience with monitoring and logging tools. (DataDog, Kibana, or similar)
Experience with containerization technologies. (Kubernetes, Docker, or similar)
Experience with configuration management and provisioning tools. (Terraform preferred)
Experience managing RDBMS. (Postgres/RDS, Redshift, or similar)

Nice To Haves

Experience with ingestion and ETL. a plus
Experience with streaming and big data processing (Kafka, Spark, or similar), a plus

Responsibilities

Manage and support several customer facing applications and products
Work to find ways to improve our application and system reliability across our infrastructure
Participate in technical architecture discussions; deployment, security and availability strategies
Collaborate with data scientists, engineers, and product managers to understand the company's infrastructure-related needs
Manage and support back office and business intelligence systems, used across multiple departments and teams