Position: DevOps engineer, Systems engineer
Category: DevOps
English level: upper
Years of experience: 9


System administrator / SRE / Systems engineer / DevOps engineer with 10+ years of firsthand experience in creating and maintaining diverse infrastructures.

Been through monoliths, mature EOL-services, high-loaded, multi-regional, stateful/stateless, microservice-based, and all that stuff.

Job responsibilities:

- Developing and maintaining infrastructure observability
- Resolving monitoring incidents as well as KTLO support tasks
- Building and keeping infrastructure as code for better management, monitoring and reproduction
- Providing development teams with efficient continuous integration and delivery pipelines
- Setting up automated review and canary release deployments to mitigate the risk of downtime or data loss
- Using containerization for a unified, transparent, and fast development process
- Optimizing and tuning containerized services with load testing and profiling
- Using container orchestration to create scalable and reliable production services
- Creating efficient, reliable and scalable infrastructure for running high-load services and data pipelines
- Using scripting languages for automation processes
- Keeping development and production environment safe and secure with networking and IAM policies
- Keeping sensitive data and credentials safe with proper secret management

Tech stack that I’m skilled at or have work experience in:

Infrastructure Observability (centralized logs/metrics/traces collection and alerting):
- ELK stack
- fluentd / filebeat
- Google Cloud Logging
- Prometheus
- Zabbix
- Grafana
- Google Cloud Monitoring
- Google Cloud Trace / Profiler

Infrastructure as Code (IaC):
- Ansible
- Terraform
- Packer
- Chef

Continuous integration and delivery (CI/CD):
- SonarQube
- Selenium
- Yandex.tank / Siege / Locust
- GitLab CI
- Canary Release

Docker containers & orchestration:
- Google App Engine (GAE)
- Google Cloud Run
- Google Kubernetes Engine (GKE)
- On-premise kubernetes clusters
- Helm
- Kustomize
- Docker compose

Data management & integration:
- Airflow
- Airbyte

Web-servers:
- Nginx / Openresty
- Apache2
- Tomcat

Databases:
- MySQL
- PostgreSQL
- Redis

Google Cloud Platform products:
- Cloud Function (FaaS)
- Compute Engine (GCE)
- Cloud DNS
- Secret Manager
- Workload Identity

Scripting languages:
- Python
- Lua

Superficial knowledge (worked with w/o deep diving into the inner processes):
- Cassandra
- Kafka
- RabbitMQ
- Yandex ClickHouse
- Hashicorp Consul
- Hashicorp Vault
Looking for a full-time remote job with working hours in the EET timezone (+/-2h).

Prefer companies with in-house development over outsourcing.