Position: Logging DevOps Engineer
Company: Alcor
Category: DevOps
Experience required: 2y
English level: upper

The product company is looking for a Junior/Middle Logging DevOps. Powering billions of personalized conversations through the power of AI, they're a global organization creating digital experiences that are Curiously HumanTM.

This company is a Conversational AI company creating digital experiences that are Curiously Human. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

We are seeking a Junior/Middle Application Observability Engineer, member of the Logging Infrastructure Engineering team, you will be responsible for, developing, deploying and managing the Observability solution that provides actionable insights into our application infrastructure.

You will:
- Understand the design and architecture of new highly-available and fault-tolerant cloud-based logging infrastructure, as well as how we redesign existing systems
- Participate and collaborate with the team taking ownership of the fast growing logging infrastructure and deliver bar-raising solutions
- Investigate hard-to-pin-down problems across a complex and distributed architecture so you can explain root causes and propose solutions
- Advocate for solutions that help teams launch quality software without compromising delivery speed

You have:
- Bachelor degree in Computer Science, Information Systems, or a related field, or equivalent training or work experience.
- 2+ years of experience building successful production software systems using (ELK stack: Filebeat, Logstash, Elasticsearch), Dashboards, and Alerts
- 2+ years of experience working with PubSub, Cloud Routers, GKE (Kubernetes/Helm) on GCP
- 2+ years of experience working with Terraform TFE
- Exposure to Fluentd, Puppet and Linux preferred
- Good to have some experience or willingness to learn Python, Makefile, Github/Gitlab
- Familiarity creating architectures that scale with volume and are fault-tolerant
- Familiarity with distributed systems & asynchronous messaging
- Proven ability to work in a fully remote environment with people across the globe

Technical stack: ELK stack (Filebeat, Logstash, Elasticsearch), PubSub, AWS/GCP, and Python/Java/Ruby

What’s interesting:
•	 an opportunity to improve your skills in a company that is a leader and innovator in the AI field;
•	the opportunity to develop your potential in the company that wins the LivePerson wins Gold Stevie Award for Best Contact Center Solution;
•	the opportunity to work in a company trusted by more than 100 large global companies;
•	various opportunities for knowledge exchange, learning and self-development.