О себе
Senior DevOps / Site Reliability Engineer with 5+ years of remote experience architecting cloud-native infrastructure and internal platforms on AWS and Azure. Expert in Kubernetes orchestration, Infrastructure as Code (Terraform), GitOps, and CI/CD pipeline automation, with a proven record of defining SLOs and error budgets that drove 99.95%+ uptime, reducing deployment times by 70%+, and cutting infrastructure costs by 35%+. Experienced in observability (Prometheus, Grafana, distributed tracing), incident command, blameless post-mortems, toil reduction through automation, and building self-service infrastructure workflows for development teams. Certified AWS Solutions Architect and CKAD, specializing in high-availability Web3 systems, container orchestration, and platform engineering for high-throughput production environments.
Опыт работы
Full-time
DevOps Engineer
Architected and deployed CI/CD pipelines with GitLab CI and GitHub Actions for 12+ client projects, accelerating deployment cycles by 75%. Optimized cloud infrastructure costs by 40% through container resource optimization, rightsizing, and implementation of auto-scaling policies across AWS and Azure environments. Engineered observability and distributed tracing solutions with Prometheus, Grafana, and Tempo, achieving 99.95% uptime against defined SLOs/SLIs and proactive incident detection. Reduced incident response time by 65% by establishing comprehensive alerting systems and leading blameless post-mortems using CloudWatch, Zabbix, and PagerDuty integration. Automated 90% of infrastructure provisioning using Terraform and Terragrunt, reducing manual toil and configuration drift while cutting deployment time from days to hours. Enhanced development velocity by 50% through adoption of GitOps workflows with FluxCD and ArgoCD, delivering self-service, declarative infrastructure for development teams. Designed and configured production-grade Kubernetes clusters that seamlessly scaled to handle 3x traffic increases without performance degradation. Decreased logging storage costs by 30% while improving data retention policies using ELK/EFK stack and Loki for centralized log management.
- Accelerated deployment cycles by 75%
- Optimized cloud infrastructure costs by 40%
- Achieved 99.95% uptime against defined SLOs/SLIs
- Reduced incident response time by 65%
- Automated 90% of infrastructure provisioning
- Enhanced development velocity by 50%
- Handled 3x traffic increases without performance degradation
- Decreased logging storage costs by 30%
Web3 Centralized Exchange (CEX)
NodeOps Engineer
End-to-End Node Architecture: Engineered, deployed, and scaled production-grade blockchain infrastructure from scratch using Docker, Kubernetes StatefulSets, and Helm charts across major L1/L2 networks, including Ethereum, Optimism, Arbitrum, Sui, Hedera, Polkadot, and Tron. Hardfork & Upgrade Lifecycle Management: Successfully managed network-critical upgrades, protocol maintenance, and emergency coordination for complex hardforks across multi-chain ecosystems, ensuring zero-downtime ledger continuity. Advanced Client Optimization & Capacity Planning: Optimized high-throughput execution and consensus clients, including Erigon and Lighthouse, tuning memory allocation, peer discovery parameters, and NVMe disk I/O to maximize synchronization speeds and minimize block propagation latency. Infrastructure-as-Code for NodeOps: Fully automated blockchain node provisioning, snapshot restorations, and validator configurations using Terraform and Ansible, cutting node deployment and recovery time by over 80%. Data Availability & Snapshot Management: Designed automated backup and high-speed snapshot sync pipelines utilizing AWS S3/CloudFront and custom scripts, drastically accelerating data recovery times for archival and full nodes. Monitoring & Metric Synthesis: Deployed comprehensive Prometheus, Grafana, and Loki logging and monitoring frameworks to track blockchain-specific metrics (e.g., peer counts, block height lag, validator uptime, slashing risks). Incident Response & SRE Culture: Participated in a rigorous 24/7 on-call rotation, serving as incident commander for critical infrastructure anomalies and authoring blameless post-mortems to eliminate single points of failure and reducing recurring toil.
- Cut node deployment and recovery time by over 80%
- Ensured zero-downtime ledger continuity during hardforks
DECARD AG
DevOps Engineer
Built complete DevOps infrastructure from ground zero, reducing deployment time by 80% and enabling 3x faster feature releases for a blockchain platform. Slashed cloud infrastructure costs by 45% through optimization strategies including slim base images, multi-stage Docker builds, and resource rightsizing. Achieved 99.99% uptime for mission-critical systems through implementation of high-availability architecture with multi-AZ deployment and automated failover. Reduced incident response time by 70% by integrating comprehensive monitoring and observability with Zabbix, Prometheus, and custom alerting dashboards, supporting SLO-driven reliability targets. Decreased deployment failures by 85% through incorporation of automated testing, quality gates, and rollback mechanisms in CI/CD pipelines. Cut container storage costs by 40% by implementing lifecycle policies and image cleanup automation in Amazon ECR. Strengthened security posture by 60% through execution of infrastructure security scanning with Trivy, Checkov, and automated compliance checks.
- Reduced deployment time by 80%
- Enabled 3x faster feature releases
- Slashed cloud infrastructure costs by 45%
- Achieved 99.99% uptime
- Reduced incident response time by 70%
- Decreased deployment failures by 85%
- Cut container storage costs by 40%
- Strengthened security posture by 60%
Omilia – Conversational Intelligence
DevOps Engineer
Streamlined deployment processes by 65% through creation of efficient CI/CD pipelines with GitLab CI for AI/ML application deployments. Automated 80% of infrastructure provisioning using Terraform, reducing setup time from weeks to days and ensuring environment consistency. Implemented configuration management with Ansible across 50+ servers, reducing system inconsistencies by 90% and enabling rapid updates. Optimized container orchestration reliability by 75% through Docker Swarm tuning and service mesh implementation.
- Streamlined deployment processes by 65%
- Automated 80% of infrastructure provisioning
- Reduced system inconsistencies by 90%
- Optimized container orchestration reliability by 75%
Softgile
Leading Linux Administrator / DevOps
Architected High Availability ELK cluster that reduced log search time by 70% while efficiently handling 5TB+ of daily log data. Enhanced system visibility by integrating 100+ servers into centralized Zabbix/Grafana monitoring platform, reducing undetected incidents by 90%. Improved web server performance by 40% through optimization and tuning of Apache httpd, Nginx, and Tomcat configurations.
- Reduced log search time by 70%
- Handled 5TB+ of daily log data
- Reduced undetected incidents by 90%
- Improved web server performance by 40%
Central Bank of the Republic of Azerbaijan
Linux System Administrator / DevOps
Reduced disaster recovery time by 85% through comprehensive process automation using Ansible playbooks for backup, restore, and failover procedures. Successfully implemented security standards (CIS Benchmarks and PCI-DSS) across all systems, passing external security audits with 100% compliance. Strengthened security by integrating 50+ Linux VMs with Active Directory, implementing RBAC, and reducing unauthorized access attempts by 95%.
- Reduced disaster recovery time by 85%
- Passed external security audits with 100% compliance
- Reduced unauthorized access attempts by 95%
Образование
Azerbaijan State Oil Academy
2010 — 2014International Economic Relations
Бакалавр