Position: DevOps engineer
Category: DevOps
English level: fluent
Years of experience: 11

AWS Certified Solutions Architect – Associate
AWS Certified SysOps Administrator – Associate

Improvement of in-house incident management tool:
- Lambda layer adoption by SRE team, which lead to code simplification;
- Splitting deployment to QA/PROD environments, which enabled team to do a proper user acceptance testing before pushing to production;
- Extended tool functionality that reduced mean time to start incident handling, simplified communication with engineers and business;
- Adoption of company wide tools: Consul, Vault.
Total of 10+ years of work in IT segment.

Current position (2 years):
Reliability engineering of cloud platform for one of the biggest food delivery companies.
Development of automation tools using Python, Ansible, PowerShell.
Working with AWS cloud provider.
Tools in use:
* CI/CD: TeamCity, Zuul, Concourse;
* Monitoring and alerting: Grafana (Graphite, Logstash, Prometheus), Seyren, CloudWatch alarms;
* Log analysis: Kibana, Splunk, CloudWatch;
* Communication, incident management: Slack, Jira, PagerDuty;
* Development:
---- Incident management automation with Python/AWS Lambda (Slack, PagerDuty, Jira);
---- Automation of various tasks by Ansible (role and playbook creation);
---- Automation of ad-hoc scripts with PowerShell and TeamCity.

Side projects:
* Dockerized Nginx and Jenkins services that simulate a deployment of web site with pipeline.
* Terraform with remote state in S3 and state lock in DynamoDB that deploys a static website to S3.

Have a 5+ years of experience working as a change manager as a main role, with addition of incident/problem management and technical responsibilities. This resulted in quite extensive experience of communication with customers/business and conveying their requests to technical teams and vice versa. 

And before this, 4+ years of classic system administrator positions.
Switching from SRE to DevOps.
Healthy DevOps culture, Kubernetes/EKS, Terraform, AWS.
Eventually get deep knowledge of other cloud platforms (GCP, Azure).