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Curriculum Vitae - Site Reliability Engineer with expertise in cloud infrastructure, automation, and machine learning.

Basics

Name Mainul Hossain
Label Site Reliability Engineer
Email hossainmainul83@gmail.com
Phone +8801795897030
Url https://mainulhossain123.github.io/
Summary Versatile Site Reliability Engineer with a strong background in cloud infrastructure, automation, and security remediation across large multi-subscription Azure/AWS tenants. Hands-on expertise in Kubernetes/AKS lifecycle management, Terraform, Azure Policy & Defender for Cloud remediation, and scripting (Python, Bash, PowerShell, Ruby) for automation, monitoring, and API integrations. Builds AI-assisted reliability tooling (LLM + ML forecasting/anomaly detection) with real-time dashboards and end-to-end observability; research interests include ML, deep learning, and explainable AI (XAI).

Work

  • 2025.06 - Present
    Site Reliability Engineer
    Optimizely Inc.
    Reliability/Platform Engineering
    • Built an AI-powered infrastructure monitoring tool and Agent Prompt Optimization workflow forecasting Black Friday readiness, cutting manual analysis time 30%.
    • Built a Terraform-managed Datadog Workflow that auto-restarts the Datadog agent on Elasticsearch via Azure RunCommand, supporting a 99.99% SLA and cutting manual intervention 50%.
    • Led a tenant-wide Defender for Cloud/Advisor security remediation program across 5 global regions and 200+ VMs, and a full AKS cluster upgrade (v1.32 to v1.33.x) across 48 clusters.
    • Audited 1,430 subscriptions via Azure Resource Graph for SSTP VPN Gateway retirement and migrated Azure Function Apps to Flex Consumption ahead of the Sep 2028 deadline.
    • Supported on-call/support rotations resolving P1 incidents; implemented Azure automation for .NET Core proactive monitoring, cutting investigation time 70%.
  • 2024.03 - 2025.06
    Managed Services Engineer
    Optimizely Inc.
    Strategic Support Solutions
    • Deployed containerized Python automation using Docker/Kubernetes for auditing and cost-optimization processes.
    • Implemented infrastructure-as-code practices for Azure service optimization, reducing operational costs by 25%.
    • Enhanced CI/CD pipelines using GitHub Actions for microservices deployment, reducing deployment time by 30%.
    • Built monitoring and alerting solutions using Azure KQL and Datadog; administered Linux systems and AWS/Cloudflare CDN services.
  • 2022.09 - 2024.03
    Associate Managed Services Engineer
    Optimizely Inc.
    Incident Management
    • Led incident response during high-volume traffic surges and major outages.
    • Managed production deployments and database changes with zero-downtime deployment strategies.
    • Administered F5 load balancers and served as Azure Administrator for the DXP platform, maintaining 99.5% uptime across multiple regions.
  • 2022.03 - 2022.09
    Information Technology Officer
    University Of Scholars
    Information Technology Team
    • Designed and maintained Linux/Windows server infrastructure for university systems.
    • Deployed Windows Server domain controllers and implemented organization-wide monitoring.
    • Managed LAN/WAN networking and campus connectivity operations.

Education

  • 2015.05 - 2022.01

    B.Sc
    BRAC University
    Computer Science

Awards

Certificates

Microsoft Certified: Azure Administrator Associate
Microsoft 2024-06-01
Introduction to Programming Using Java
LICT Project, ICT Division, Government of Bangladesh 2018-03-01

Skills

Cloud Platforms
Microsoft Azure
AWS
GCP
SRE / Platform
Incident Response
SLO/SLI
Automation
Linux
Observability
Datadog
Prometheus
Grafana
Loki
Azure KQL
ELK
Containers & IaC
Docker
Kubernetes
AKS lifecycle management
Terraform
Ansible
Cloud Security & Governance
Azure Policy
Defender for Cloud & Advisor
Guest Configuration
Managed Identity
Azure Resource Graph
Programming
Python
Bash
PowerShell
Ruby
JavaScript
C#
AI/ML & LLM
Prompt Engineering
LLM Integration
Ollama
scikit-learn
LightGBM
Prophet

Interests

Reliability Engineering
SRE
Automation
Observability
Machine Learning
Forecasting
Anomaly Detection
Explainable AI

Projects

  • 2025.01 - Present
    Infrastructure Self-Healing Agent
    AI-assisted auto-remediation platform for containerized services with real-time dashboard, ML forecasting/anomaly detection, and LLM-assisted incident analysis.
    • Flask API + Flask-SocketIO real-time updates
    • React dashboard
    • PostgreSQL persistence
    • Isolation Forest + Prophet + LightGBM (optional ML mode)
    • Ollama local LLM assistant
  • 2025.01 - Present
    .NET Core Master Monitoring Tool
    Master Bash runbook tooling for thread count, response time, and outbound connection monitoring with automated dump/trace collection.
    • dotnet-counters
    • dotnet-dump
    • dotnet-trace
    • AzCopy uploads
  • 2025.01 - Present
    Cloudflare DNS Records Export Tool
    Parallelized Cloudflare DNS inventory exporter with pagination, retries, and Docker-friendly output.
    • Cloudflare API
    • ThreadPoolExecutor
    • CSV export
  • 2025.01 - Present
    Cloudflare WAF Rules Extractor
    Security audit automation tool to extract and filter Cloudflare custom firewall rules across zones with parallel processing.
    • Ruleset extraction
    • Action-based filtering
    • CSV reports
  • 2024.01 - Present
    Pingdom Hostname Check Automation
    Async Python tool to run concurrent Pingdom API hostname checks and export results to CSV.
    • asyncio
    • aiohttp
    • CSV reporting