Position: DevOps (Production Engineer)
Company: Alcor
Category: DevOps
Experience required: 3y
English level: intermediate

Marquee names like Disney, Comedy Central, and CBS Interactive trust Tubular to analyze engagement on digital video and to measure 7.5+ billion videos and live streams across an ever growing list of major platforms, including YouTube, Facebook, Twitter, Instagram, and Twitch. We process all this data using the latest in big data technologies, and present the resulting insights using a best in class self-serve data exploration platform. Our goal is to combine simplicity and power to deliver an awesome user experience.

As a systems engineer, you will help evolve and operate the core infrastructure which drives Tubular. We believe platform operations is a job for software, built by software engineers like yourself. Powered by AWS, our large-scale data processing platform is designed and implemented with automation in mind, leveraging modern infrastructure as code (IaC) principles and employing a sophisticated observability stack to ensure that our services are running smoothly.
In this job you will:
Design and implement systems using the latest in petabyte-scale big data, high performance web applications, containerization (Kubernetes), and CI/CD technologies
Develop innovative tools to improve developer efficiency across the entire organization
Provide DevOps guidance to the rest of the Engineering team
Work closely with a small team of talented individuals working on the infrastructure that supports billions of videos and petabytes of data

"Your Responsibilities will include:"
Programming in Python
Develop, own and operate self-healing mission-critical infrastructure using AWS, Kubernetes, Kafka, Consul, Vault, Spark, ElasticSearch
Linux systems engineering and integration
Mentor junior engineers
Participate in the platform on-call rotation (United States shift)

"Ideal candidates will have:"
3+ years of experience working with Unix/Linux systems
2+ years of operations experience in a high-availability Linux environment
2+ years of experience working with Docker and/or Kubernetes
Strong Python language skills
Expertise with AWS (EC2, S3, VPC, RDS, etc.)
Expertise working with monitoring and logging tools (e.g. Datadog, Grafana, Logstash, Sensu, Nagios, and similar technologies)
Experience with ElasticSearch operations
A passion for automated, scalable, and repeatable infrastructure (SaltStack, Terraform, etc.)
The ability to prioritize tasks, work independently, and respond to emergent issues accordingly
A strong sense of ownership over system uptime and performance
Knowledgeable about SAAS security concerns
Good interpersonal communication skills