DevOps Engineer focused on Kubernetes, CI/CD, GitOps, and cloud/on-prem platform engineering.
I enjoy building reliable delivery pipelines, scalable infrastructure, and clean operational runbooks.
- Kubernetes platform engineering (on-prem & cloud)
- GitOps deployments (FluxCD / Helm / Kustomize)
- CI/CD automation & runner infrastructure (GitLab CI, GitLab Runners)
- Observability (Prometheus, Grafana, Loki, Alertmanager)
- Security & identity (OIDC, reverse proxies, ingress)
- Upgraded Harbor Registry and wrote a complete upgrade procedure (validation/rollback/runbook).
- Upgraded TraefikEE (reverse proxy / ingress) and defined a stable upgrade process.
- Migrated authentication from LDAPs → OIDC to standardize SSO and access control.
- Provided DevOps support for data science users (apps, infra, CI/CD, tooling).
- Built an automated, scalable platform for microservices on Kubernetes (OKE).
- Implemented GitOps with FluxCD + Helm + Kustomize for consistent deployments.
- Implemented reverse proxy & load balancing with Traefik / Nginx / HAProxy.
- Centralized logs with Loki and dashboards in Grafana.
- Operated Redis and Elasticsearch self-hosted on Kubernetes.
- Delivered automation via Python serverless functions (OCI) + Bash/Python scripts.
- Provisioned OCI infrastructure with Terraform (OKE clusters, VMs, Object Storage).
- Automated runner environments using Ansible (tools, permissions, networking).
- Integrated Cluster Autoscaler on OKE for dynamic scaling during high CI load.
- Built delivery pipelines publishing RPM, Docker images, Maven artifacts, tarballs to multiple channels.
- Outcome: moved release cadence from quarterly → weekly.
- PoC to build/test/distribute Windows & macOS packages, applied to GraalVM / GDK and internal tools.
- Automated runner provisioning with Ansible.
- GitLab Runners: Windows (Docker executor) and macOS (shell executor).
- CI/CD integration + cache/artifact strategies to speed up builds and share dependencies.
- Built a microservices-based web app (Django + DRF), including an integrated store.
- Implemented DRF pagination and optimized SQL queries for large datasets.
- Improved API performance using queryset tuning and caching.
- Implemented GitLab CI pipelines (unit tests + automated integration).
- Containerized services with Docker, deployed with Helm + Kubernetes.
- Configured Nginx reverse proxy (performance, security, load balancing).
Kubernetes: Kubernetes, Helm, Kustomize, FluxCD, Traefik
CI/CD: GitLab CI, GitLab Runners, Docker
IaC / Automation: Terraform, Ansible, Bash, Python
Observability: Prometheus, Grafana, Loki, Alertmanager
Data services: Redis, Elasticsearch
Cloud: Oracle Cloud Infrastructure (OCI), OKE