Position: Senior DevOps Engineers
Company: Grid Dynamics
Experience required: 3y
English level: upper

Details on tech stack:
- DevOps Engineer
   *Knowledge of AWS services, tools and best practices
   *Experience in CI/CD: GitHub, Jenkins, GitLab, Spinnaker, Travis, etc. 
-- Other tools: AWS CodeDeploy, AWS CodeBuild, AWS CodePipeline
   *Implement appropriate monitoring, logging and alerting solutions. Experience with APM (Application Performance Monitoring) solutions (New Relic, AppDynamics, Dynatrace). 
-- AWS - Amazon CloudWatch (including CloudWatch Agent, CloudWatch Logs, CloudWatch Alarms and CloudWatch Events), AWS X-Ray, Amazon SNS, Amazon Elasticsearch Service and Kibana.
-- Other tools: syslog, logrotate, Logstash, Filebeat, Nagios, InfluxDB, Prometheus and Grafana
   *Experience with IaC (Infrastructure as Code): CloudFormation, Terraform, Pulumi, and AWS CDK (Cloud Development Kit)
   *Experience with Configuration Management tools: Ansible, Chef, Puppet, Saltstack
   *Experience with Container tools: Docker Engine, Docker Swarm, systemd-nspawn, LXC, container registries, Kubernetes
   *Experience with working with ML and Data pipelines

Min requirements to the candidate:
- Min 3 years of experience in relevant technologies
- Proven track record of shipping enterprise-ready products
- Ability to work independently and flexibly with US clients
- English communication is a must
- Team oriented
- 5+ years of experience

What tasks the candidate will work with?
- The candidate will be part of a pod consisting of the GD team and client product owner
- We will develop in 2-week sprints. Timely delivery is a must. Ability to highlight risks and estimate one's work will be an asset
- Deliverables:
- Discovery:
    *Detailed solution technical design
    *Detailed datasets design and description
    *Detailed product backlog with preliminary estimates
    *Required datasets description
    *Сost of ownership estimate and forecast
- MVP
    *Solution deployed to AWS cloud account owned by client
    *Data platform with agreed technical design (data quality, data catalog, etc.)
    *ML platform with agreed technical design (MLOps, feature store, model registry)
    *Automated test suite run results
    *Technical documentation in a form of Readme files and Confluence pages
    *Migrated and brand new data engineering pipelines
    *Replatformed existing ML pipelines

Selling points for this demand:
- Opportunity to be part of this full-scale data transformation program for the leading mobile marketing platform in the world.
- Focused engagement on Data and ML platforms - challenging new work for GD. We will be trailblazers for this work in the company!
- We aim to utilize in-house accelerators for many of the project aspects, so we will be solving higher order challenges rather than regular run-of-the-mill issues
- Ability to contribute to a new logo for the company. Potential to bring in more business if this project is successful.