Cases that sell the work
Three outcomes from production environments — AI platforms, banking data pipelines, and
large-scale SaaS SRE.
Practice repos, learning notes, and public experiments live on GitHub. Hiring managers and
engineers are welcome to browse.
github.com/VladimirSemchishin →
01
AI · Platform
SPIMEX AI chatbot — production platform in hours, not days
Challenge: Launch a regional, fault-tolerant Kubernetes footprint on VK Cloud for
an AI chatbot product, with a single clear release path for many services — without multi-day
manual infrastructure work.
What I delivered: Designed and operated Kubernetes across
3 availability zones. Codified provisioning with Terraform, Helm, and GitLab CI so
infra moved from multi-day manual setup to pipeline-driven deploys in hours. Built
one unified release pipeline for 10+ services (monitoring, ingress, messaging,
PostgreSQL, backend) and eliminated manual deploys across environments. As sole infrastructure
owner, presented architecture and release plans to client stakeholders and shipped the production
platform on schedule.
VK Cloud
Kubernetes
Terraform
Helm
GitLab CI
PostgreSQL
02
Banking · Data
Halyk Bank — Oracle to Tarantool CDC at 22× throughput
Challenge: Stand up a cloud banking environment and prove an Oracle → Tarantool
data path under real load — OpenShift, Oracle 19c, and enterprise CDC tooling in one coherent
pipeline.
What I delivered: Deployed a VK Cloud stand with
OpenShift 4.21 and Oracle 19c / OpenLogReplicator, then delivered
the full pipeline: Oracle → OLR → Tarantool CDC → TQE. Ran a successful load test that scaled from
50 to 1,100 TPS (22× throughput) over ~5 hours 20 minutes — giving the bank
measured confidence in production readiness.
OpenShift
Oracle 19c
OpenLogReplicator
Tarantool CDC
TQE
VK Cloud
03
SaaS · SRE
Mindbox — 15+ clusters, cheaper Kafka, cleaner alerts
Challenge: Run production infrastructure for a marketing automation SaaS at
scale — many Kubernetes clusters, noisy alerting, costly Kafka, and too much manual release work.
What I delivered: Operated 15+ production Kubernetes clusters
with a full observability stack (Grafana, Prometheus, Thanos, Alertmanager, Graylog, Strimzi).
Standardized 85–90% of company alerts; moved releases, MySQL backups, and chaos
tests into GitLab, GitHub, and Octopus Deploy. Codified cloud and bare metal in Terraform/Ansible.
Migrated Apache Kafka to Kubernetes: 20–30% lower Kafka spend, higher reliability,
and workload autoscaling. Also deployed HA Kea DHCP for 500+ servers and led on-call for SLA/SLO
incidents.
Kubernetes
Kafka / Strimzi
Prometheus
Thanos
Terraform
Ansible
GitLab CI
Want the same outcomes on your team?
Telegram, email, or LinkedIn — pick what is fastest for you. I am open to remote full-time roles and
relocation worldwide.
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