Modernize
Move legacy virtual-machine estates toward maintainable Kubernetes and cloud-native operating models.
Available for remote & selected on-site workTehran · Iran · UTC+3:30
Platform Engineering · DevOps · Cloud · SRE
Infrastructure
teams can trust.
I'm Sina Mohseni Far, a Platform Engineering Team Lead in Tehran. I modernize production infrastructure, improve reliability and observability, reduce sensible cloud costs, and help teams ship through safer platform processes.
100K—1MTPS experience in high-throughput production systems
≈500Bnew records per day in the SQM engineering context
HybridAWS, Hetzner, ArvanCloud, Sotoon and on-prem
RemoteFull-time, part-time, project and consulting
Operating principle
The platform is part of
the product.
I work where software, infrastructure and business pressure meet. The goal is not more tooling. It is a system that stays understandable under load, fails deliberately, recovers predictably and costs what it should.
Where teams rely on me
CAPABILITY / 01From a difficult launch
From a difficult launch
to a durable platform.
Stabilize
Improve uptime, failover, incident readiness and critical-path resilience without freezing delivery.
Make visible
Refactor metrics, logs, alerts and capacity signals so teams can act on evidence.
Make efficient
Find waste, remove bottlenecks and improve infrastructure cost-to-performance with practical changes.
Enable delivery
Build CI/CD, GitOps, IaC and platform workflows that lower release risk and cognitive load.
Build the missing layer
Write Go, Rust, Python or JavaScript services, bots and automation when the platform needs software.
Career history
CAREER / 02Companies, roles and
Companies, roles and
operational ownership.
Employment history is intentionally separate from the systems and products delivered inside or alongside those roles.
Platform Engineering Team Lead · Current
Smartech · Digikala Group
Leading the platform and infrastructure function across an AdTech and MarTech environment. Over roughly 18 months, legacy infrastructure moved toward Kubernetes while monitoring, logging, cost control and operational quality were materially improved. Current work includes unified failover policies and higher availability using Sotoon cloud solutions.
DevOps Engineer
Mohaymen ICT Group
Production infrastructure and delivery for integration-heavy telecom and public-service systems, including SQM, Registry and Shahkar contexts where availability, controlled change and observable data flows were critical.
ONP
Infrastructure Engineering
ONP
Infrastructure and production operations for connected and IoT systems, with emphasis on automation, resilience and a manageable path from devices and data flows to platform services.
SH
System Administrator
SHSHI · Shekar Shekan Ilamian
Hands-on server, system and operational administration in Ahvaz before specializing in DevOps, cloud and platform engineering.
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Backend & frontend engineering
Independent / Freelance
Earlier product engineering with Python and React. This software background still informs how I design internal platforms: for the developers and products that must actually use them.
Selected delivery
DELIVERY / 03Enterprise systems with
Enterprise systems with
real operational stakes.
These are selected systems and project contexts—not job titles. Details are presented at a safe level; confidential architecture and customer data remain private.
Mohaymen delivery context · Telecom · Identity
Registry System
A smartphone verification and owner-number matching system with input reaching roughly 100,000 requests per second. Response time, correctness and uptime were business-critical.
Engineering outcome
Inherited on an older VM-based stack, then modernized onto Kubernetes. Monitoring and maintainability improved, while failover procedures became more consistent and the service stayed easier to operate.
Requests→Validation→Registry services→Verified response
Mohaymen delivery context · Signaling · DataOps
SQM
A signaling-quality monitoring and analysis context capable of receiving approximately 500 billion new records per day. The hard problem was making enormous data flows observable and operable.
Engineering outcome
Worked on DataOps processes over Kubernetes, monitoring at scale, ingestion reliability and the operational foundations needed to analyze and improve signaling quality.
Signals→Ingestion→Data platform→Quality analysis
ONP delivery context · Connected systems
IoT Systems & Infrastructure
Infrastructure for connected products where devices, connectivity, services and data pipelines create one operational system.
Engineering outcome
Focused on dependable production foundations, automation and the visibility required to manage service and device complexity as the environment grows.
Devices→Connectivity→Platform→Operations
Independent delivery · Podcast advertising platform
Rabt.host
An active project collaboration kept separate from employment history. The work combines product development with infrastructure review and continuous operational improvement.
Engineering outcome
Working alongside development to assess the platform, improve its infrastructure path and move delivery and operations forward without inventing unnecessary complexity.
Podcasters→Campaign platform→Infrastructure→Advertisers
Independent projects
PRODUCTS / 04Open-source tools and
Open-source tools and
private product work.
Independent engineering has its own place here. Public repositories link to source; private products are described without exposing their code or internal material.
01Private product work
Private · Kubernetes application platform
Harvisp
A general Kubernetes application manager built around one App API for any service or application—covering workloads, storage, networking, install pipelines, backups, upgrades and day-two operations.
Engineering outcome
The direction is a native, declarative application contract: one controller, one schema and YAML that can integrate with an internal developer platform while keeping Kubernetes as the source of truth.
App API→Controller→Kubernetes resources→Operations
Private · Company operating system
Aset
A company operating system designed around one model with room for different methods, graphs and frameworks instead of forcing every organization into a single rigid playbook.
Engineering outcome
The product direction connects company capabilities, operating knowledge and decision frameworks so teams can persist, map and evolve how the organization works.
Company model→Capabilities→Methods→Decisions
02Public / open source
Open source · MCP · Firefox
FoxBridge
A local-first MCP server and Firefox extension that lets an AI assistant inspect and drive a real, logged-in Firefox session under the user’s control.
Engineering outcome
Tabs, DOM, cookies, page APIs, network activity and downloads are exposed through a local bridge—useful browser automation without handing the session to a remote browser service.
AI client→Local MCP bridge→Extension→Real Firefox
Open source · Pure Go Kafka client
GoKafka
A standard-library-first Kafka client for a single static Go binary, without CGO or third-party modules in the core path.
Engineering outcome
Includes producers, consumer groups, KIP-848 and KIP-932 share groups, transactions, admin APIs, TLS/SASL, Schema Registry helpers, observability and a mock broker.
Go service→GoKafka→Kafka protocol→Kafka / Redpanda
Capability map
STACK / 05Architecture through
Architecture through
hands-on execution.
Platform & cloud
Kubernetes, GitOps, CI/CD, Terraform, Ansible, AWS, Hetzner, ArvanCloud, Sotoon, hybrid cloud and on-prem infrastructure.
Reliability & observability
Prometheus, Grafana, VictoriaMetrics, monitoring strategy, logging systems, SLO thinking, alert quality, failover and incident readiness.
DataOps & distributed systems
Kafka, RabbitMQ, Redis, PostgreSQL, heavy databases, large ingestion paths, capacity planning and high-throughput operations.
DevSecOps & networking
Practical infrastructure security, delivery controls, secrets and policy-aware workflows, Nginx, HAProxy and secure operational access.
Software & automation
Go, Rust, Python, JavaScript, backend services, CLI tools, Telegram bots and responsible scraping or workflow automation.
Modernization & advisory
Architecture review, legacy refactoring, server maintenance, cost optimization, product launch support and process improvement.
Technologies used in real operating environments
KubernetesAWSHetznerArvanCloudSotoonTerraformAnsibleGitOpsCI/CDPrometheusGrafanaVictoriaMetricsKafkaRabbitMQRedisPostgreSQLNginxHAProxyELK / EFKGoRustPythonJavaScript
Roles & specialist services
EXPERTISE / 06Platform, cloud and
Platform, cloud and
operations expertise.
The role can change; the operating responsibility stays concrete. These are the professional areas where I can join a team, lead a function, deliver a project or advise directly.
Platform Engineer & Platform Lead
Internal developer platforms, platform APIs, Kubernetes operating models, developer experience and team leadership.
DevOps Engineer & Consultant
CI/CD, GitOps, infrastructure as code, release safety, automation and production delivery processes.
Cloud Engineer & Cloud Consultant
AWS, Hetzner, ArvanCloud, Sotoon, hybrid cloud, on-prem infrastructure and practical cloud architecture.
Kubernetes Engineer & Consultant
Cluster architecture, workload migration, networking, storage, security, upgrades and day-two operations.
Site Reliability Engineer (SRE)
High availability, failover, SLOs, incident readiness, capacity planning and resilient critical paths.
Observability & Monitoring Engineer
Prometheus, Grafana, VictoriaMetrics, logging, alert quality, dashboards and actionable production signals.
DataOps & High-Throughput Infrastructure
Large ingestion paths, Kafka, databases, data platforms and operations for high-volume systems.
DevSecOps & Infrastructure Security
Policy-aware delivery, secrets, access controls, secure defaults and production security improvement.
Infrastructure Modernization & Cost Optimization
Legacy refactoring, Kubernetes migration, server maintenance, bottleneck removal and sensible cost reduction.
Automation & Systems Software
Go, Rust, Python and JavaScript services, CLI tools, Telegram bots, scraping systems and operational automation.
Ways to work together
One senior partner.
Five ways to engage.
Choose the level of ownership the work needs. I can join an existing team, lead platform direction, deliver a defined infrastructure change, advise on architecture and cost, or take a technical project from zero to stable production.
- 01
- Senior full-time, part-time or remote roleHands-on senior ownership across Platform Engineering, DevOps, Cloud, SRE and production operations.
- 02
- Part-time platform leadershipFractional leadership for platform roadmaps, team mentoring, priorities, standards and delivery quality.
- 03
- Infrastructure project deliveryA defined outcome such as Kubernetes migration, observability redesign, failover, automation or cloud modernization.
- 04
- Architecture, reliability and cost advisoryFocused diagnosis, design review and a practical plan for performance, resilience, maintainability and cost.
- 05
- Project start-up or technical managementFrom discovery and architecture through launch readiness, execution coordination and a stable operating model.
Beyond infrastructure
Curiosity is part of the work.
Music, puzzles, books, coding, film, series and anime keep me close to systems, stories and the pleasure of solving something difficult well.
Direct contact
Let's improve
the system.
For platform leadership, DevOps and cloud projects, reliability work, infrastructure modernization or a focused technical consultation.