// DevOps Engineer · Islamabad, Pakistan

Syed M.
Jamal Uddin Gilani

Building resilient infra at scale

DevOps Engineer with 2 years of experience designing, deploying, and managing production Kubernetes clusters for large-scale on-site AI platform deployments. Owns GitOps-based release automation for 50+ microservices across Development, Staging, UAT, and Production environments.

100+
Sites deployed
50+
Microservices managed
17
Node K8s cluster
10+
GitOps pipelines

Work history

Professional Experience

Beta Codes.pk
ISO-certified for information security
DevOps Engineer
May 2025 – Present · On-site, Islamabad
Current
  • Replaced a manual, time-intensive release process with automated one-click GitOps pipelines (GitHub Actions, ArgoCD) across 10+ microservices spanning Dev, Staging, UAT, and Production, reducing a multi-step manual release to a single pipeline trigger.
  • Migrated BetaVision's CI/CD off legacy Jenkins onto GitHub Actions to remove a slave-node bottleneck slowing releases, improving pipeline reliability and cutting maintenance overhead.
  • Built and maintained a Prometheus, Grafana, and Loki monitoring stack for a 17-node Kubernetes cluster (12 workers, 5 masters), creating org-wide and per-project dashboards that surfaced incidents through automated alerting rather than user reports.
  • Engineered a zero-data-loss PostgreSQL infrastructure on CloudNativePG with automated Barman backups to AWS S3, authoring the team's standing disaster-recovery playbook.
  • Replaced ngrok with self-hosted FRP (Fast Reverse Proxy) to remove licensing and connection-count limits on dozens of live public camera streams, hardening every tunnel with TLS encryption.
  • Root-caused a production incident where Redis was stalling BetaVision's AI detection pipeline due to slow upstream API responses, restoring stable real-time inference.
  • Deployed and operated AI platforms (BetaVision, BetaMedia) across 100+ client and government sites, owning each rollout end-to-end from machine setup to public stream exposure.
  • Provisioned MinIO S3 buckets and database infrastructure on high-capacity storage for 5+ internal AI platforms, and automated DataNext's release pipeline across both AWS EKS and on-prem Kubernetes for a single consistent deploy path.
  • Onboarded and mentored incoming engineers on platform architecture and deployment workflows, supporting a junior engineer through their first production CI/CD rollout.
Appium Logics Solution
Jr DevOps Engineer
Nov 2024 – Apr 2025 · Remote
  • Managed AWS IAM users, groups, roles, and policies under least-privilege, role-based access control.
  • Designed VPCs with public/private subnets, Internet Gateways, and NAT Gateways to control inbound/outbound traffic.
  • Provisioned EC2 Linux instances and configured security groups to support application deployment.
Arcana Info
DevOps Engineer Intern
Jul 2024 – Oct 2024 · On-site
Internship
  • Built multi-slave-node Jenkins CI/CD pipelines to Dockerize React, Java, and Flask applications, parallelizing builds to cut build time.
  • Used Git for version control, Maven for Java builds, ELK for centralized logging, and Nginx as load balancer/reverse proxy.

Selected work

Key Projects

🕸️
Hub-and-Spoke RKE2 Platform
Personal Infrastructure Project · Aug–Sep 2026

Manually built a 4-cluster hub-and-spoke platform on RKE2 (1 hub + 3 spokes) from scratch, with HA control planes via HAProxy and Keepalived (VRRP). Centralized monitoring, GitOps, container registry, and secrets on the hub — Prometheus/Grafana/Loki, ArgoCD, Harbor, and Vault — for all spokes, and documented the full architecture publicly with diagrams.

RKE2ArgoCDHarborVaultHAProxyMetalLB
Read the article
📡
BetaMedia.ai
News Channel Streaming Platform

Led DevOps for a large-scale Django & React streaming app on Kubernetes across Prod, UAT, and Staging. Automated releases via GitHub Actions + ArgoCD (GitOps). Managed UDP live streams, FFmpeg, Kafka, Celery, Redis, and AI services including Face Recognition and Speech-to-Text.

KubernetesArgoCDKafkaRedisFFmpegAI/ML
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🎥
BetaVision
AI Camera Streaming & Surveillance

Maintained and deployed an AI-powered camera platform supporting object detection, face recognition, and ANPR. Fully automated CI/CD; migrated legacy Jenkins pipelines. Deployed GPU-enabled AI services for real-time inference and delivered on-site POCs to client GPU servers.

GPU InferenceDockerJenkinsANPRFace Recog
Read the article
📦
DataNext
AI-Based Inventory & OCR Platform

Managed DevOps for an AI-driven inventory system that converts hardcopy documents into digital format via OCR and provides ChatGPT-like search over data. Automated deployments for both AWS EKS and on-premises Kubernetes environments.

AWS EKSOn-prem K8sOCRCI/CD

Tech stack

Skills & Tools

CI/CD & Automation
GitHub Actions Jenkins ArgoCD GitOps Bash Scripting Python
Containers & Orchestration
Docker Kubernetes Rke2 Helm Helm Charts CloudNativePG
Monitoring & Observability
Prometheus Grafana Loki Node Exporter Blackbox Exporter ELK Stack
Cloud & Infrastructure
AWS EKS EC2 S3 IAM VPC Linux (Ubuntu) Nginx
Secrets, Registry & Networking
HashiCorp Vault Harbor HAProxy Keepalived (VRRP) MetalLB FRP TLS
Databases & Messaging
PostgreSQL Redis Kafka Celery

Credentials

Certifications & Training

Professional Certifications
Courses & Training
☸️
DevOps, GitOps, AWS & Kubernetes
KodeKloud
⚙️
Jenkins CI/CD
CloudBees
🐧
Introduction to Linux
The Linux Foundation
🌿
Version Control
Coursera · Meta
🌐
Networking
CISCO · Netcad
🐍
Programming with Python
Coursera
Education
SZABIST University
BS Software Engineering
2021 – 2025 · Islamabad, Pakistan
Graduate

Let's build something
resilient together

Open to full-time DevOps / Platform Engineer roles and interesting projects.