Position: Senior DevOps Engineer, AWS (Big Data, Automotive)
Company: Star
Category: DevOps
Experience required: 5y
English level: upper

The application you will be working on is focused on building the tool-set for data management around a corporate data lake. You will handle a significant part of the product development process working in close collaboration with the client.
​​DevOps brings a fundamental change in collaboration – the recognition of the fact that there’s one entity standing behind a successful product: The delivery team.

YOU
Essential skills:
- Strong Linux/Unix administration skills;
- Software lifecycle management experience;
- Networking fundamentals (switching, routing, load balancing);
- Versioning (BitBucket, Git);
- Scripting/programming skills (Bash, Python/Go, etc.);
- Monitoring tools (Grafana, Prometheus, etc.);
- Log analytics (ELK stack, Grafana Loki, Splunk, etc.);
- Experience with databases (DynamoDB, MySQL etc.);
- Cloud computing AWS (S3, Kinesis Data Firehouse, Lambda, Glue, EMR, Athena, SageMaker);
- Understanding the containerization concepts (Docker ecosystem); 
- Experience with container orchestration systems in AWS (AWS EKS/ECS);
- Excellent written communication and the ability to communicate verbally with the customer (English).

DevOps skills:
- Cloud configuration, IaaC (Terraform, CloudFormation, etc.);
- Continuous Integration/Delivery (Code Build, Code Pipeline, Code Deploy).

Bonus skills:
- Practice experience with second cloud platform (MS Azure Cloud, GCP);
- NoSQL DB knowledge (Redis, Memcached, MongoDB, Cassandra, etc.);
- Understanding of Distributed Systems concepts, High Availability, vertical and horizontal scalability.