Aleksei Ruzhitskii

DevOps Engineer

Armenia10 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI integration within DevOps practices.
Proficient in cloud migration and Kubernetes management.
Strong background in CI/CD pipeline implementation.

Stackforce AI infers this person is a DevOps and AI integration specialist in the SaaS industry.

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Skills

Core Skills

DevopsAi IntegrationCloud ArchitectureCloud Administration

Other Skills

AIAWSAWX ProjectAnsibleArgoCDArtificial Intelligence (AI)AzureBashCI/CDContinuous Integration (CI)Continuous Integration and Continuous Delivery (CI/CD)DjangoDockerElasticsearchFluxcd

About

DevOps/Platform Engineer, passionate about automating all sorts of things! Experienced AI solutions, AI models deployment and automation.

Experience

10 yrs 4 mos

Total Experience

5 yrs 2 mos

Average Tenure

7 yrs 1 mo

Current Experience

Joom

Senior MLOPS/DevOps

May 2019 – Present · 7 yrs 1 mo

Lead AI integration into company's DevOps practices
Integrating LiteLLM, OpenRouter for easier interactions with multiple AI/ML providers
Lead Cloud exit multiple projects
Lead AI integration into DevOps processes
Implementing CI/CD pipelines for ML models in Kubernetes environments.
Implementing Canary & Blue Green deployment strategies.
Migrating apps into Cloud & Kubernetes (AWS, GCP & Azure)
Helm charts development
Integrating LiteLLM, OpenRouter for easier interactions with multiple AI/ML providers
Deep Kubernetes expertise (event-driven auto-scaling, writing admission web-hooks, Helm charts).
Designing and optimizing serverless architectures with AWS Lambda.
Cost optimization strategies for cloud infrastructures.
Linux system administration (Debian, Ubuntu, CentOS).
Performance tuning for Android build systems.
Mentoring and onboarding junior engineers.
Tech Stack & Tools:
Cloud & Infrastructure: AWS, Azure, GCP, Kubernetes, Helm, Terraform.
CI/CD & Automation: Jenkins, TeamCity, Ansible, HashiCorp tools.
Monitoring & Logging: Prometheus, Grafana, Datadog, Zabbix.
Development & Services: Python (Django), Java, Apache Kafka, Hazelcast.
Collaboration & Project Management: Jira, Bitbucket, Confluence

AWSAzureGCPKubernetesHelmTerraform+6

Distillery

DevOps Engineer

Feb 2016 – Jun 2019 · 3 yrs 4 mos · Buenos Aires Province, Argentina

Organizing software Deployment Cycle using AWS CI/CD tools (CodePipeline, CodeBuild, CodeDeploy)
Fixing bugs in Jenkins Plugins (slash branches issue in Multibranch pipeline plugin)
Zero Downtime AWS Deploy (Jenkins + Packer + Terraform)
Google Cloud / Amazon AWS Administration
On-perm to cloud migration
Internal penetration testing
Cost Optimizations
New employees onboarding
Dev Ops Documentation Support
Nginx/Apache Security Hardening wit ModSecurity
Taking part in Python Django projects as a developer
Implementing Ruby /Python automation scripts
OpenNebula administration and support
Bare metal servers administration
SQL queries development and optimization
Deployment of highly loaded distributed Zabbix Monitoring System (30 000 nvps) with MariaDB Galera 10 as DB backend and HA Proxy as Load Balancer
Deployment of Pacemaker + Corosync + GlusterFS based HA Linux clusters
Technologies/Services used:
AWS, Google Cloud Platform
KVM, Hyper-V, OpenNebula
Ansible
Pacemaker
MariaDB Galera Cluster
Python
Jenkins
Sentry
CloudFlare
Terraform
Packer
Docker