Production deployment pipelines (Apex client apps)
Containerized and deployed real client sites (678 Rid Junk, Homesware, SZK Technical) with reproducible builds, reverse-proxy config and TLS — moving teams off manual FTP to repeatable releases.
DevOps & Cloud Engineer · Remote · UTC+5
I automate the path from commit to production — containerized microservices, reproducible cloud infra and zero-downtime deploys — backed by the real-time, fail-safe discipline I apply daily to flight-simulation systems.
About
I’m a software engineer who treats infrastructure as a product: versioned, tested and observable. Across 4+ years I’ve owned deployment pipelines, containerized full-stack applications and provisioned cloud environments so teams can ship safely and often — work I did leading delivery at Apex IT Solutions for international clients. I currently engineer real-time flight-simulation software, where uptime, deterministic behavior and telemetry are non-negotiable, and that reliability mindset is exactly what I bring to production infra. I pair AWS, Docker, Kubernetes and Terraform with CI/CD in GitHub Actions and Jenkins for zero-downtime releases, and I’m working through the AWS Solutions Architect Associate track to formalize it (in study — not yet earned). I hold a BS in Electrical & Electronics Engineering from FAST-NUCES. I’m based in Pakistan (UTC+5) with 4–6 hours of daily Gulf and Malaysia overlap, available remote, contract or EOR.
Focus
GitHub Actions & Jenkins pipelines with test/build/deploy gates and zero-downtime / blue-green strategies.
Terraform-provisioned, reproducible AWS environments — modular and version-controlled.
Dockerized microservices, Kubernetes deployments and Helm charts.
Prometheus/Grafana dashboards and the real-time telemetry instinct carried from flight-sim.
Work
Every card is labelled by its true state — shipped, in progress, or planned. No invented metrics.
Containerized and deployed real client sites (678 Rid Junk, Homesware, SZK Technical) with reproducible builds, reverse-proxy config and TLS — moving teams off manual FTP to repeatable releases.
Flagship that wraps a full-stack AI app in a complete delivery pipeline: Dockerfile, Actions test/build/deploy, Terraform-provisioned AWS and Grafana dashboards. v1 in progress with a public roadmap.
Planned open-source module with a documented README and tflint/checkov passing in CI, designed as a clean, citable IaC artifact.
R&D bridge streaming real-time flight-sim telemetry into a live monitoring dashboard — a concrete demo of the observability rigor that transfers to production SRE work.
Why it transfers
Real-time simulation demands deterministic timing, graceful failure handling and constant telemetry — the same instincts behind good incident response, SLOs and pipeline health.
Idempotent, repeatable deploys
Metrics, dashboards & alerting
Rollback & blue-green releases
Credentials
FAST-NUCES (National University of Computer and Emerging Sciences), Islamabad
Panaverse
English (professional working) · Urdu (native)
FAQ
Yes — remote from Pakistan (UTC+5), 4–6 hours of daily overlap with Gulf and Malaysian hours, contract and EOR friendly.
The path from commit to production — containerized microservices, reproducible cloud infrastructure and zero-downtime deploys, with CI/CD, monitoring and alerting.
AWS, Docker and Kubernetes, Terraform for infrastructure as code, GitHub Actions for CI/CD, and Prometheus/Grafana-style observability.
I apply the same real-time, fail-safe discipline I use daily on flight-simulation systems — reliability and safe rollbacks are designed in, not bolted on.
Contact
Remote / EOR-friendly · 4–6h overlap with GST & MYT · Islamabad–Rawalpindi, Pakistan (UTC+5).