DevSecOps / Cloud / Platform Engineer

Hi, I'm Abdul Rehman

Senior DevSecOps Engineer

I engineer production-grade cloud platforms where releases are clean, security is built in, and operations feel controlled. From multi-cloud infrastructure and Kubernetes to CI/CD, GitOps, observability, AI workloads, and Web3 systems, I build platforms that look sharp and stay reliable.

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AWS
Azure
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Hetzner
Abdul Rehman

About

I build the backbone behind reliable digital products.

My work is where cloud, security, automation, Linux, Kubernetes, and release engineering come together to make production feel controlled.

I work across DevSecOps, cloud engineering, Kubernetes, CI/CD, GitOps, observability, Linux systems, AI infrastructure, and automation. My strongest work is the platform layer behind fast-moving teams: the pipelines, clusters, IAM boundaries, dashboards, release flows, and runbooks that make production calmer.

At ChainGPT and Funavry, I support AI, Web3, and client-facing environments where reliability and security are not optional. I care about practical engineering: fewer manual steps, fewer unknowns during incidents, cleaner audits, stronger recovery paths, and systems that keep working when traffic or teams grow.

How I approach work

  • Treat infrastructure as a product with users, standards, ownership, and measurable reliability.
  • Make security part of the default path through pipelines, cloud accounts, clusters, and access control.
  • Design for recovery before failure happens: rollback, observability, runbooks, and small blast radius.

Operating model

How I turn infrastructure into an advantage.

The strongest DevOps work is not only deploying apps. It is designing the operating system around how teams ship, secure, observe, and recover.

01

Release Engineering

Pipelines with tests, scans, artifact promotion, rollback strategy, and GitOps so deployments are repeatable instead of heroic.

02

Runtime Reliability

Kubernetes, ingress, autoscaling, resource limits, health checks, dashboards, and alerts designed around real failure modes.

03

Security Baseline

IAM, RBAC, secret handling, network boundaries, vulnerability scanning, and least-privilege defaults across cloud and cluster layers.

04

Cost & Scale Control

Capacity planning, right-sizing, node pools, workload isolation, and automation that keeps platforms fast without waste.

Complete skill map

A full-stack DevOps toolkit, organized for production.

Cloud, Kubernetes, CI/CD, security, monitoring, automation, Linux, AI infrastructure, and Web3 systems - the tools I use to build platforms that are fast, secure, and stable.

Cloud Platforms

Multi-cloud and VPS infrastructure for production workloads, client environments, and scalable product systems.

AWSAzureGoogle CloudDigitalOceanHetznerVultrcPanelLinuxRHEL 7/8

AWS & Azure Services

Hands-on cloud services used for compute, networking, storage, deployment, and secure platform operations.

EC2EKSECSRDSS3VPCIAMECRAmplifyCloudWatchCloudTrailAKSAzure VMsAzure BlobApp Service

CI/CD & GitOps

Release systems with build automation, security gates, promotion paths, and declarative deployments.

GitHub ActionsJenkinsPipeline as CodeGitLab CI/CDAzure DevOpsCodePipelineCodeBuildArgo CDFluxGitOps

Containers & Runtime

Container platforms, ingress layers, scaling controls, and service runtime patterns for production apps.

KubernetesDockerDocker SwarmMulti-stage buildsHelmIngressNginxTraefikKarpenterKEDAIstioKiali

Infrastructure as Code

Repeatable infrastructure with modules, templates, automation, and controlled environment changes.

TerraformCloudFormationAnsibleBashShellPythonYAMLJSON

Monitoring & Observability

Operational visibility for clusters, applications, cloud accounts, and incident response.

PrometheusGrafanaCloudWatchZabbixELK StackLogsMetricsAlertsRunbooks

Security & DevSecOps

Security built into pipelines, clusters, cloud accounts, access control, and runtime posture.

IAMRBACTrivySonarQubeOWASPSASTDASTVaultKMSFalcoOPASELinuxSSL/TLSDefguardZero TrustNetwork Policies

AI / MLOps / Web3

Infrastructure for GPU workloads, model serving, AI apps, blockchain nodes, and RPC-style systems.

GPU workloadsMLOpsModel servingPython AI appsAI botsBlockchain nodesRPCAPI gatewaysRate limitingBackups

Languages & Frameworks

Application and scripting ecosystem used around infrastructure, automation, and deployment workflows.

PythonJavaScriptTypeScriptReactNext.jsPHPLaravel.NET

Linux & Systems

Core systems administration, networking, storage, backups, and troubleshooting fundamentals.

RHEL 7/8YUM/RPMLVMPartitioningRAIDApacheDNSNFSFTPrsyncTape backupsiptablestophtopiostatnetstatpidstatSUIDSGIDSticky bits

Proof

What makes the work valuable.

Strong DevOps work is not only tools. It is judgment, operating discipline, security awareness, and the ability to keep systems reliable when pressure is real.

Operational outcomes

  • +Faster releases without fragile manual steps
  • +Cleaner rollback, audit, and promotion paths
  • +Stronger security across cloud, cluster, and pipeline layers
  • +Sharper incident visibility and calmer platform ownership

Delivery confidence

Clean pipelines with quality gates, image scanning, dependency checks, artifact promotion, and GitOps-controlled releases.

Platform ownership

Kubernetes operations, ingress, autoscaling, resource limits, RBAC, service health, and production-grade visibility.

Security by design

IAM, network boundaries, secrets, scanning, access control, and least-privilege defaults baked into the platform.

High-trust workloads

AI, Web3, APIs, client infrastructure, and data-heavy systems where drift, downtime, and weak recovery are expensive.

Timeline

Experience

A production-focused path from Linux systems administration to DevOps, cloud platforms, Kubernetes, AI infrastructure, Web3 workloads, and security-driven delivery.

  1. DevSecOps Engineer

    ChainGPT2026 - PresentRemote

    AI and Web3 infrastructure for security-sensitive product environments, APIs, automation, inference paths, and platform delivery.

    • Build secure CI/CD workflows with automated tests, container builds, dependency checks, image scanning, and rollback-ready release paths.
    • Harden Kubernetes and container environments with RBAC, network policies, secrets management, public/private traffic boundaries, and least-privilege access.
    • Improve observability for AI routes, APIs, and long-running jobs using metrics, logs, alerts, and clear ownership signals.
    • Support CPU and GPU-backed workloads with scaling controls, cost-aware capacity planning, and production-focused operational discipline.
    • Strengthen platform security with IAM, secret rotation practices, edge controls, rate limiting, and practical DevSecOps standards.

  2. Senior DevOps Engineer

    Funavry TechnologiesJan 2026 - PresentIslamabad, Pakistan

    Client-facing cloud, Kubernetes, GitOps, blockchain-style workloads, and security-focused production operations.

    • Own AWS production infrastructure across EKS, ECS, RDS, EC2, ECR, IAM, networking, autoscaling, and cost-aware right-sizing.
    • Run GitOps with Argo CD and Flux to keep environments declarative, reduce drift, and make promotions safer across staging and production.
    • Deliver CI/CD with GitHub Actions, CodePipeline, CodeBuild, security checks, artifact promotion, and controlled deployment strategies.
    • Operate service mesh and access layers with Istio, Kiali, Defguard, IAM/RBAC, network segmentation, and secure client boundaries.
    • Support blockchain/RPC-style workloads with reliable nodes, strict network boundaries, backups, runbooks, and high-availability patterns.
    • Automate recurring operations with scripts, Lambda-style hooks, APIs, and reusable workflows that reduce manual console work.

  3. DevOps Engineer

    IKONICMar 2025 - Jan 2026Islamabad, Pakistan

    Cloud, container, AI workload, and application infrastructure for scalable web and mobile products.

    • Designed, deployed, and maintained Laravel/PHP production applications on Docker Swarm with high availability, health checks, and rolling updates.
    • Built and supported React/Python AI applications and GPU-based AI bots on AWS EKS and Azure AKS with node pools and resource isolation.
    • Implemented CI/CD with GitHub Actions for automated builds, security checks, multi-environment deployments, and production-ready releases.
    • Managed and secured AWS and Azure services including ECS, EKS, RDS, Amplify, AKS, access controls, firewalls, and network security.
    • Optimized containerized workloads for performance, cost control, reliability, and fewer production surprises.

  4. DevOps Engineer

    ForbmaxAug 2023 - Mar 2025Islamabad, Pakistan

    Cloud infrastructure, Kubernetes, DevSecOps pipelines, GitOps delivery, and observability for production systems.

    • Architected Jenkins pipelines from checkout to build, unit tests, SonarQube, Trivy, OWASP checks, artifacts, images, integration tests, and deployment.
    • Implemented DevSecOps gates at every pipeline stage so quality and security checks happened before production release.
    • Deployed containerized applications on Kubernetes using Docker, Helm, Argo CD, GitOps, and declarative deployment patterns.
    • Configured Nginx and Traefik ingress, autoscaling, resource tuning, EC2, ECR, IAM, and AWS security best practices.
    • Built observability with Prometheus, Grafana, alerts, dashboards, and actionable monitoring for faster incident response.

  5. Linux System Administrator

    Onyx Tech2022 - 2023Lahore, Pakistan

    Enterprise Linux administration, networking, storage, backup, monitoring, and infrastructure operations.

    • Administered RHEL 7/8 systems including configuration, patching, YUM/RPM package management, and disciplined maintenance windows.
    • Managed storage and filesystem operations with LVM, partitioning, RAID, and tested recovery practices.
    • Configured and maintained Apache, DNS, NFS, FTP, IP addressing, routing, iptables, and production network services.
    • Handled backup and recovery operations using rsync and tape backup workflows with documented restore steps.
    • Performed monitoring and troubleshooting using top, htop, iostat, netstat, pidstat, custom scripts, SUID, SGID, and sticky-bit permissions.

Let's build serious infrastructure

Need DevSecOps ownership that looks good and works under pressure?

I am open to cloud, DevSecOps, Kubernetes, AI infrastructure, and Web3 infrastructure roles where reliability, security, and speed all matter.

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