Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. Earlier this year, Chartbeat joined forces with Tubular, the leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, Twitch, and more. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. By joining two comprehensive network-level datasets, we’ll help our partners understand and measure a larger proportion of audience interactions and, in turn, make smarter decisions that grow reach and revenue. We now serve more than 1,000 brands globally, including influential content publishers like The New York Times, the BBC, ESPN, Gannett, Vox, BuzzFeed, Paramount, WB, Mediahuis, Hearst, McClatchy, and GQ.

The Team

We are an engineering team focused on large-scale data systems who work with best in class technologies such as Spark, Kubernetes, ElasticSearch and Python. We make an impact by working within a close-knit team on core customer-facing analytics and search products.

Responsibilities

• As the Production Engineering Tech Lead, you will contribute to the design, development, scaling, and maintenance of the infrastructure powering our product pipelines, data stores, query engines, and internal APIs.
• You will build and deploy infrastructure in the cloud using infrastructure as code (IaC) techniques.
• You will be managing a team of three geographically distributed Infrastructure Engineers, help plan and run their scrum
• Lead and contribute to systems engineering, administration, performance optimization and maintenance of operating systems, networking, configuration management, observability, container workload management, and various distributed computing technologies.
• You will participate in an engineering on call rotation to monitor and maintain the health of our production systems.

About You

• 8+ years of experience as a DevOps/SRE/Production Engineer or similar
• Experience working with container orchestration (Docker, Kubernetes, etc.)
• Strong and production level Python and Bash is essential
• Experience working with and deploying cloud-based architecture on AWS is a requirement
• Experience working with and developing observability tools (time series databases, etc.)
• Experience operating ElasticSearch or other distributed databases
• A passion for automated, scalable, and repeatable infrastructure (IaC, config management, etc.)
• An appreciation for system uptime and performance
• Good communication skills and a desire to mentor engineers on the team

The salary range for this role is $200k-230k