SENIOR PLATFORM / INFRASTRUCTURE ENGINEER · BERLIN, GERMANY
I BUILD SYSTEMS
THAT HELP TEAMS SHIP.
14 years across infrastructure, cloud engineering, DevOps and platform engineering — from bare-metal systems and high-throughput networks to production Kubernetes and AWS.
- AWSOPERATIONAL
- KUBERNETESOPERATIONAL
- TERRAFORMOPERATIONAL
- CI/CDOPERATIONAL
- COFFEEREQUIRED
- AWSOPERATIONAL
- KUBERNETESOPERATIONAL
- TERRAFORMOPERATIONAL
- CI/CDOPERATIONAL
- COFFEEREQUIRED
WHAT I BUILD
Three layers, one way of thinking.
Cloud Platforms
Standardized, automated cloud infrastructure that teams can build on without guesswork.
Developer Experience
Tooling and workflows that make the correct engineering path the easiest one to take.
Digital Products
Applying the same systems thinking used for infrastructure to building products end-to-end.
THINGS I'VE BUILT
Selected work
Cloud Migration
Moved legacy Linux-based services onto AWS EKS with infrastructure as code.
CHALLENGEMigrating live services without standardized tooling or a shared deployment pattern.
OUTCOMEA standardized, automated Kubernetes platform replacing fragmented manual deployment.
High-Scale Streaming Infrastructure
Scaled a self-hosted streaming platform's throughput roughly eightfold.
CHALLENGESustaining throughput growth from 5 Gbps to 40+ Gbps across ~100 servers without sacrificing availability.
OUTCOMEA tuned, highly available fleet capable of handling multiples of the original load.
Kubernetes Platforms
Operated both managed (EKS, GKE) and self-hosted Kubernetes clusters in production.
CHALLENGEKeeping cluster operations consistent across managed and self-hosted environments.
OUTCOMEReliable, observable Kubernetes platforms serving as the standard runtime for services.
Infrastructure Automation
Automated infrastructure provisioning end-to-end with code-defined environments.
CHALLENGEReplacing manual, error-prone provisioning with a repeatable, reviewable process.
OUTCOMEEnvironments that can be recreated, audited and changed with confidence.
CI/CD & GitOps
Built automated delivery pipelines connecting code changes to running infrastructure.
CHALLENGEReducing the distance between a merged change and a safely deployed service.
OUTCOMEDeployment pipelines that made shipping routine rather than risky.
ReelzPro
A platform helping content providers accelerate video generation for Instagram and TikTok.
CHALLENGEDesigning infrastructure for a content pipeline under early-stage budget constraints.
OUTCOMEA working platform that helps providers produce short-form video content faster.
ENGINEERING JOURNEY
Fourteen years, moving up the stack.
Not a resume — a system evolving. Each stage below is a checkpoint where the scope of the problem changed.
- 201110/2011 – 02/2017
Network Engineer
Takta
Infrastructure projects spanning 250+ devices across Cisco, Huawei, IBM and HP needed reliable network design and rollout.
IMPACTManaged IP planning, networking and hardware deployment across 250+ devices.
This is where the foundation was built — understanding how packets move, how hardware fails, and why physical infrastructure decisions echo for years.
Cisco IOSHuawei VRPIP PlanningVLANHardware Deployment - 201702/2017 – 02/2019
System Architect / DevOps Engineer
Khallagh Borhan
Systems needed to move from static, manually managed hardware toward virtualized, containerized infrastructure with reliable storage and messaging.
IMPACTDesigned infrastructure using Docker, OpenStack and VMware, and implemented storage and messaging infrastructure using GlusterFS, SAN, NFS and RabbitMQ.
The shift from network engineer to system architect — designing the layers that other systems would depend on, not just connecting them.
DockerOpenStackVMwareGlusterFSSANNFSRabbitMQ - 201902/2019 – 09/2021
Head of Streaming & DevOps Engineer
Aseman Company
A streaming platform running on self-hosted Kubernetes needed to scale throughput dramatically while keeping ~100 servers highly available.
IMPACTScaled streaming throughput from approximately 5 Gbps to 40+ Gbps while managing ~100 servers and self-hosted Kubernetes on OpenStack.
Deep, hands-on performance engineering — kernel tuning, load balancer tuning, capacity planning — at a scale where every inefficiency multiplies.
HAProxyLinux TuningKubernetes on OpenStackTerraformAnsible - 202109/2021 – 12/2024
DevOps Engineer
Quandoo
Legacy services running on Linux servers needed a path to a modern, standardized, cloud-native platform without disrupting delivery.
IMPACTMigrated legacy services from Linux servers to Kubernetes (EKS) on AWS, automated provisioning with Terraform/Terragrunt, and built GitLab CI/CD pipelines with Datadog and Grafana/Prometheus observability.
This is where infrastructure engineering became platform thinking — not just running Kubernetes, but making it a dependable, observable foundation for other engineers.
AWSEKSGKETerraformTerragruntHelmGitLab CI/CDDatadogPostgreSQL - 202501/2025 – Present
Tech Consultant — Volunteering
Experience Cafe
Early-stage companies need pragmatic, cost-aware cloud and platform architecture without the overhead of enterprise-scale complexity.
IMPACTAdvising startups on cloud cost minimization, Kubernetes adoption and CI/CD practices, and designing multi-cloud infrastructure blueprints for early-stage budgets.
Applying platform thinking outside a single company — helping teams choose the right level of infrastructure for where they actually are.
Cloud Cost OptimizationKubernetes AdoptionCI/CDMulti-Cloud Architecture - 2026Ongoing
Platform Engineering + Digital Products
Independent
Infrastructure teams often optimize for control at the expense of developer velocity — the two shouldn't be a trade-off.
IMPACTFocused on platform engineering and developer experience: building the paved road that makes the correct path the easiest path, while applying that systems thinking to building digital products end-to-end.
The current chapter — moving from operating infrastructure to designing it as a product, with engineers as the users.
Developer ExperienceSelf-Service InfrastructureGitOpsProduct Engineering
CASE STUDY — QUANDOO
From Legacy Infrastructure to AWS EKS
Migrated legacy services from Linux-based infrastructure to AWS EKS, replacing fragmented manual deployment with a standardized, automated platform.
PROBLEM
Services ran directly on Linux servers with fragmented, manual deployment processes. Every service had its own quirks, its own runbook, and its own operational overhead — none of it standardized, all of it fragile under change.
APPROACH
Rebuilt the deployment path around Kubernetes on AWS EKS, with infrastructure defined as code and delivery automated end-to-end, so teams could ship without hand-holding infrastructure through every release.
BEFORE
AFTER
ARCHITECTURE
AWS EKS as the standard runtime, replacing bespoke per-service Linux hosts.
INFRASTRUCTURE
Terraform and Terragrunt for repeatable, environment-consistent provisioning.
DEPLOYMENT
Helm for packaging and release, GitLab CI/CD for automated delivery pipelines.
OBSERVABILITY
Datadog and Grafana/Prometheus for visibility into cluster and service health.
OPERATIONAL CONSIDERATIONS
PostgreSQL optimized for high availability, backups and query performance alongside the migration.
CASE STUDY — ASEMAN COMPANY
Scaling a Streaming Platform from 5 Gbps to 40+ Gbps
Scaled streaming throughput roughly eightfold across a self-hosted Kubernetes platform running on OpenStack, on a fleet of approximately 100 servers.
5 Gbps
Starting throughput
10 Gbps
First scaling pass
20 Gbps
Load balancing + tuning
40+ Gbps
Current scale
HAPROXY
Load balancing tuned for high-throughput, low-latency streaming traffic.
LINUX PERFORMANCE TUNING
Kernel and network stack tuning to remove throughput ceilings.
NETWORKING
Careful capacity and topology planning across the server fleet.
CAPACITY PLANNING
Scaling decisions grounded in observed load, not guesswork.
HIGH AVAILABILITY
Redundancy designed so scaling didn't come at the cost of reliability.
~100 SERVERS
Self-hosted Kubernetes on OpenStack across the fleet.
PLATFORM ENGINEERING
Building the Paved Road
“The goal of a platform is not to hide infrastructure from engineers. It is to make the correct path the easiest path.”
ARCHITECTURE PLAYGROUND
Hover the system. See the trade-offs.
Conceptual architecture — illustrative, not a real production system.
Hover or tap a component to inspect it.
Infrastructure taught me how systems work.
Product building taught me why they matter.
EXPERIENCE
Where I've worked
Tech Consultant — Volunteering
Experience Cafe
- ▪Advising startups and companies on cloud cost minimization, Kubernetes adoption, and CI/CD practices.
- ▪Implemented the ReelzPro platform, helping content providers accelerate video generation for Instagram and TikTok.
- ▪Designed multi-cloud infrastructure blueprints for early-stage budgets.
- ▪Designed pragmatic cloud and platform architectures balancing developer experience, reliability, scalability and cost.
DevOps Engineer
Quandoo · Berlin, Germany
- ▪Migrated legacy services from Linux servers to Kubernetes (EKS) on AWS.
- ▪Maintained GKE clusters.
- ▪Automated infrastructure provisioning with Terraform / Terragrunt.
- ▪Managed deployments using Helm.
- ▪Designed GitLab CI/CD pipelines.
- ▪Maintained Datadog and Grafana/Prometheus observability.
- ▪Optimized PostgreSQL for high availability, backups and query performance.
- ▪Developed Python and Shell automation.
Head of Streaming & DevOps Engineer
Aseman Company · Tehran, Iran
- ▪Managed approximately 100 servers.
- ▪Operated self-hosted Kubernetes on OpenStack.
- ▪Scaled streaming throughput from approximately 5 Gbps to 40+ Gbps.
- ▪Performed Linux and infrastructure performance tuning.
- ▪Used Terraform and Ansible.
DevOps Engineer / System Architect
Khallagh Borhan
- ▪Designed infrastructure using Docker, OpenStack and VMware.
- ▪Implemented storage and messaging infrastructure using GlusterFS, SAN, NFS and RabbitMQ.
Network Engineer
Takta
- ▪Managed infrastructure projects involving 250+ devices.
- ▪Worked with Cisco, Huawei, IBM and HP infrastructure.
- ▪Managed IP planning, networking and hardware deployment.
CAPABILITIES
Skills, by area
PLATFORM ENGINEERING
- Developer Experience
- Platform Automation
- Infrastructure Standardization
- GitOps
- Self-Service Infrastructure Concepts
CLOUD
- AWS
- EKS
- EC2
- S3
- RDS
- VPC
- GCP
- GKE
- OpenStack
- Bare Metal
INFRASTRUCTURE AS CODE
- Terraform
- Terragrunt
- Ansible
CONTAINERS
- Kubernetes
- Docker
- Helm
CI/CD
- GitLab CI/CD
- GitOps workflows
OBSERVABILITY
- Datadog
- Prometheus
- Grafana
- Alertmanager
NETWORKING
- HAProxy
- TCP/IP
- VLAN
- BGP basics
- Cisco IOS
- Huawei VRP
DEVELOPMENT
- Python
- Bash / Shell
EDUCATION
BSc — IT Engineering
Qazvin University
Diploma — Mathematics & Physics
Tehran
CERTIFICATIONS
CKA — Certified Kubernetes Administrator
- CERT UNAVAILABLE
RHCE — Red Hat Certified Engineer
- CERT UNAVAILABLE
LPIC-1 — Linux Professional Institute Certification
- CERT UNAVAILABLE
LPIC-2 — Linux Professional Institute Certification
ABOUT
A bit about how I think
I started close to the hardware and infrastructure layer and gradually moved upward — from networks and physical servers to distributed systems, cloud infrastructure, Kubernetes and platform engineering.
That background shaped how I think: understand the system deeply, automate what should be automated, and make the right path easier for the people using it.