DevOps Engineer

Participate in on-call production operations, including incident response, SLA-based escalation, recovery coordination, and post-incident reviews.

Support monitoring and alerting for Kubernetes production environments using Prometheus, Grafana, Alertmanager, and VictoriaMetrics. Diagnose operational issues with engineering teams and improve recovery workflows.

Automated Python-based backups of Grafana dashboards in JSON with Git as the source of truth. Implemented GitOps delivery of Grafana configurations and dashboards to Kubernetes clusters through ArgoCD, reducing manual operational work.

Serve as the sole DevOps engineer responsible for production infrastructure, automation, security, observability, and daily operations. Operate a sharded multi-master Kubernetes cluster and investigate control-plane incidents.

Built a Python resource-audit tool for CPU, memory, pod usage, requests and limits, and node load across namespaces and nodes. Expanded Grafana and VictoriaMetrics monitoring with node-level dashboards using PromQL, kube-state-metrics, and node-exporter.

Automated deployment of Prometheus, Grafana, Loki, Alertmanager, exporters, and host security configuration through Ansible. Investigated a PostgreSQL data-integrity incident involving approximately 130 GB of data and restored integrity without loss of critical data.

Reworked PostgreSQL backups with streaming zstd compression and parallel execution, reducing backup time from approximately seven hours to one and a half hours and storage use by about 25%. Introduced isolated backup-restore testing and designed infrastructure for a new service, including PostgreSQL, CI/CD, and containerization.

Supported DevOps and DevSecOps practices for banking products across production and enterprise development environments.

Automated Jenkins and GitLab CI pipelines, contributing to a 35% faster release cycle. Deployed and supported Kubernetes and OpenShift workloads using Helm charts.

Integrated SAST and DAST security scanning with SonarQube, Checkmarx, and PVS-Studio into CI/CD pipelines, contributing to a 90% decrease in critical production vulnerabilities.

Built monitoring and alerting with Grafana, Prometheus, Zabbix, and ELK, contributing to an 85% reduction in MTTR. Automated repetitive operations using Bash, Python, and Groovy across hybrid cloud and on-premises infrastructure.

Developed Linux system administration fundamentals, including user and permission management, Bash scripting, systemd, cron, networking, and resource monitoring.

Worked with Nginx and Apache web servers in a Linux environment.