Open to opportunities

Aleksey Sv

@aleksey

I’m a Site Reliability Engineer with 3+ years of experience building and operating Kubernetes platforms, cloud infrastructure, and backend services.

Russian Federation

Message

What I'm looking for

I'm looking to build and operate reliable Kubernetes and cloud platforms, automate delivery through GitOps and IaC, and improve observability, incident response, and infrastructure efficiency at scale.

Site Reliability Engineer | March 2024 - Present
Accelerated production releases and infrastructure provisioning by introducing GitOps, standardized CI/CD pipelines, Argo CD, Terraform, and Ansible, reducing deployment times from days to hours and Kubernetes node provisioning from 2 hours to 5 minutes. Improved reliability across 50+ production systems through 24/7 on-call work, observability, Kubernetes policy enforcement, and postmortem-driven improvements; also reduced PostgreSQL latency by 80%, recurring incidents by approximately 90%, and licensing costs by $30K annually.

Backend Python Developer | April 2023 - March 2024
Reduced delivery lead time from 4-5 days to under 1 day and increased release frequency from 3 to 10 deployments per week by decomposing a monolith into six microservices. Reduced HTTP 5xx errors from 25% to 2% and weekly request timeouts from 120 to 35 by migrating services to Python 3.11 and upgrading key dependencies.

Information Technology Specialist | November 2022 - April 2023
Reduced user provisioning time by approximately 50% through centralized LDAP integration and shortened new-hire onboarding from 2-3 days to 1 day by introducing standardized documentation, runbooks, and repeatable procedures.

Experience

Work history, roles, and key accomplishments

Current

Site Reliability Engineer

Current

Large Fintech Bank

Mar 2024 - Present (2 years 5 months)

Cut release time for the production Nginx entry layer from 1-3 days to under 2 hours by introducing GitOps-driven deployments, standardized release pipelines and eliminating manual SSH configuration. Reduced production ML platform deployment time from several days to under 3 hours by standardizing multi-cluster GitOps deployments with Argo CD and Terraform.

Kubernetes GitOps Argo Terraform Ansible Prometheus Grafana Go PostgreSQL Kyverno Nginx InfiniBand CI CD

Backend Python Developer

Enterprise Software Development Company

Apr 2023 - Mar 2024 (11 months)

Reduced delivery lead time from 4-5 days to under 1 day and increased deployment frequency from 3 to 10 releases per week by decomposing a monolith into six independently deployed microservices. Reduced HTTP 5xx errors from 25% to 2% and weekly request timeouts from 120 to 35 by migrating production services to Python 3.11 and upgrading key dependencies.

Python Microservices Deployment HTTP Python 3

Information Technology Specialist

Real Estate Development Company

Nov 2022 - Apr 2023 (5 months)

Reduced user provisioning time by approximately 50% by implementing centralized LDAP integration for enterprise 1C systems. Reduced new-hire onboarding time from 2-3 days to 1 day by creating standardized runbooks, documentation, and repeatable onboarding procedures.

LDAP Onboarding Documentation