Open to opportunities

Владимир Семчишин

@smvn

Message

DevOps/SRE engineer building scalable Kubernetes platforms with GitOps, IaC, and production-grade observability.

Russian Federation

Message

What I'm looking for

I’m open to remote, full-time work, or relocation worldwide, where I can own production Kubernetes delivery end-to-end—using IaC, GitOps, CI/CD, and observability—to ensure reliable, scalable systems.

I’m a DevOps / SRE Engineer with 4+ years in banking and platform engineering, focused on building scalable, fault-tolerant systems in production.

I’ve operated 15+ Kubernetes clusters across SaaS and banking (including VTB and Halyk Bank), standardizing delivery and reliability with strong observability and incident-driven improvements.

In my recent work, I engineered regional Kubernetes across multiple availability zones for an AI chatbot, cutting infra provisioning from multi-day manual setup to pipeline-driven deploys in hours and unifying release pipelines for 10+ services.

I also launched and automated platform workflows end-to-end—building one-click stand provisioning, implementing infrastructure-as-code for Kubernetes-based data pipelines, and leading 24/7 on-call operations with fast incident response and HA patterns.

Experience

Work history, roles, and key accomplishments

Current

DevOps / SRE Engineer

Current

HolyWeb

Dec 2025 - Present (6 months)

Engineered and operated regional Kubernetes infrastructure on VK Cloud across 3 availability zones, cutting provisioning from multi-day manual setup to pipeline-driven deploys in hours. Built unified release/stand pipelines for 10+ services and automated stand lifecycle in Terraform and Ansible (including etcd/TCM/TDB CDC/TQE), delivering production platforms for SPIMEX AI chatbot and banking work

Kubernetes OpenShift Terraform Ansible Helm Gitlab CI GitOps Prometheus Grafana Apache Kafka

SRE Engineer

Mindbox

May 2023 - Jun 2025 (2 years 1 month)

Operated 15+ production Kubernetes clusters with full observability and standardized 85–90% of alerts into a unified structure. Migrated Apache Kafka to Kubernetes, cutting Kafka spend 20–30% while improving reliability, and led on-call rotation for SLA/SLO incidents and overnight maintenance.