Ivan Nevmerzhytskyi

Experience

• 

  LLC «Land.com» (engineering services in geodesia and land management)

  Nov 2018 - Nov 2020

  Sr. System Administrator / Head of IT Department

  • Reduced system downtime by 70% via redundant infrastructure implementation.• Introduced GPU-powered computing, increasing processing speed by 60%.• Saved 40% on IT expenses through strategic licensing and vendor negotiation.

• 

  Ciklum

  Nov 2020 - Jan 2022

  Technical Support Engineer

  • Led technical onboarding and mentoring for new team members, creating troubleshooting documentation to reduce training time by 40%• Promoted to L2 support within 6 months for delivering high-quality customer solutions• Collaborated with product development teams to resolve critical software issues, reducing escalated tickets by 30%

• 

  Zerto

  Nov 2020 - Jan 2022

  • Led technical onboarding and mentoring for 3 L1 engineers, creating troubleshooting guides for VMware and Hyper-V environments, reducing training time by 40%.• Identified and resolved critical limitations in internal support tools, improving team efficiency by 30% through implementation of optimized workflows and processes.• Collaborated with R&D team to investigate and resolve 10+ critical product issues, contributing to 30% reduction in escalated tickets. • Identified and documented 5 critical recurring issues in customer environments, collaborating with L2/L3 teams to develop and implement permanent solutions reducing related tickets by 25%.• Managed and resolved 100+ monthly support cases with 92% first-contact resolution rate, specializing in Zerto disaster recovery platform configuration and replication issues.

  • Technical Support Engineer L2

    Jul 2021 - Jan 2022

  • Technical Support Engineer L1

    Nov 2020 - Jul 2021
• 

  K&C (Krusche & Company)

  Jan 2022 - now

  DevOps Engineer

  • Built robust observability platforms using Prometheus and Grafana, achieving 99.9% uptime.• Spearheaded ISO 27001:2022 certification, ensuring enterprise-wide security and compliance.• Reduced cloud expenses by 20% through automation and cost-optimization strategies.• Developed a MongoDB backup solution for a multi-cluster database with a capacity of over 100 TB.• Enhanced Kubernetes cluster scalability by 30%, improving overall system performance.