DevOps & Cloud Engineer

Sohail
Shaik

Architecting production Kubernetes clusters, automated CI/CD pipelines, and high-availability multi-cloud infrastructure.

Sohail Shaik

Current Role

DevOps Engineer

About Me

“

DevOps and Cloud Infrastructure Engineer with 4+ years of production experience building and maintaining high-performance CI/CD pipelines, containerizing services, and running production-grade Kubernetes clusters (Amazon EKS, Helm) across AWS, Azure, and Cloudflare. Hands-on expert in Infrastructure as Code (Terraform), Linux networking, and automation scripting. Passionate about architecting zero-downtime migrations, secure ingress routing, and automated self-healing systems.

Cloud & Kubernetes

Provisioning multi-region landing zones on AWS and Azure. Orchestrating scalable services with Kubernetes, Helm charts, and custom ingress configs.

IaC & CI/CD Pipelines

Implementing reproducible infrastructure using Terraform. Designing automated, secure build-test-deploy pipelines via GitHub Actions.

Observability & Ingress

Configuring metrics collection (Prometheus, Grafana) and secure edge routing with Traefik, WireGuard VPNs, and active secrets management.

Technical Skills

Cloud & Containers
AWS (EKS, VPC, ECS, S3)
Azure
Cloudflare
Docker
Kubernetes
Helm
Docker Swarm
IaC & CI/CD
Terraform
GitHub Actions
CI/CD Pipelines
Infra Automation
Observability & Security
Prometheus
Grafana
Alertmanager
CloudWatch
Traefik
TLS/SSL Termination
WireGuard VPN
Secrets Management
Scripting & Data
Python
Bash Scripting
Linux Systems
PostgreSQL
Redis
Git / GitHub

Experience

January 2026 – Present
PrettiFlow

PrettiFlow

Founding Engineer – DevOps & Infrastructure

  • Owned the end-to-end DevOps lifecycle as sole infrastructure owner, architecting and managing multi-cloud infrastructure across AWS, Azure, and Cloudflare.
  • Built and maintained CI/CD pipelines end to end: containerized services with Docker and automated deployments using GitHub Actions.
  • Engineered pre-warmed, isolated cloud sandboxes for code execution, cutting infrastructure cold-start latency from ~3s to ~100ms (97% improvement).
  • Redesigned edge routing and ingress configuration to remove a redundant API gateway, eliminating hundreds of dollars a month in idle infrastructure cost.
  • Maintained 99.9% uptime across core infrastructure through proactive monitoring, alerting, and incident response.
AWSAzureCloudflareDockerGitHub ActionsPythonBash
August 2024 – December 2025
OmniqAI

OmniqAI

DevOps Engineer

  • Led an on-prem → AWS migration using Terraform and Amazon EKS, enabling zero-downtime deployments and fully automated CI/CD pipelines.
  • Performed end-to-end Kubernetes operations: Helm chart deployments, readiness/liveness probe configuration, and resolving ImagePullBackOff and pod scheduling issues.
  • Built observability stacks with Prometheus, Grafana, and Alertmanager across Docker Swarm and edge nodes, reducing incident detection time by 50%.
  • Hardened CI/CD and ingress: stabilized TLS termination with Traefik, managed cluster secrets, and strengthened deployment security posture.
  • Deployed WireGuard for secure remote connectivity and used Elasticflow (NetFlow) and Suricata (IDS/IPS) for network traffic analysis and threat detection.
AWSEKSTerraformHelmDocker SwarmPrometheusGrafanaTraefikWireGuard
July 2022 – July 2024

MountPoint Technologies Pvt. Ltd.

DevOps Engineer

  • Managed and deployed applications across AWS cloud infrastructure.
  • Containerized applications using Docker and managed production deployments.
  • Worked with Kubernetes for application deployment, scaling, and service management.
  • Built and maintained CI/CD pipelines for automated build, test, and deployment workflows.
  • Managed cloud infrastructure, environments, configuration, and deployment processes.
  • Worked with Linux servers, troubleshooting application and infrastructure issues.
  • Implemented monitoring and logging to track application and infrastructure health.
AWSDockerKubernetesCI/CDLinux ServersMonitoringLogging

Projects

Traceable systems and AI platforms in production.

Project MODULE
SERVICE ACTIVE
01
Architecture Title

Cloud Native EKS Landing Zone & GitOps Pipeline

  • Designed and provisioned a production-ready Amazon EKS landing zone using Terraform with secure VPC peering, public/private subnets, and IAM Roles for Service Accounts (IRSA).
  • Established automatic cert provisioning and TLS termination using Traefik and Cert-Manager, ensuring secure external endpoints.
  • Built multi-environment GitOps CD pipelines via GitHub Actions and Helm, supporting rollback mechanics and lint checks.
  • Secured cluster networking with WireGuard VPN for private API access and automated secret injection from AWS Secrets Manager.
AWSEKSTerraformHelmTraefikGitHub ActionsWireGuard
View repo
Project MODULE
DEPLOYED / VERIFIED
02
Architecture Title

Production Observability & Auto-Healing Cluster

  • Built cluster-wide Prometheus, Grafana, and Alertmanager metrics-monitoring stacks across Amazon EKS, Docker Swarm, and edge nodes.
  • Decreased incident response times and mean time to detect (MTTD) by 50% through refined Alertmanager routing and PagerDuty integrations.
  • Engineered automated self-healing scripts reacting to Prometheus node/pod alerts to resolve scheduling issues and ImagePullBackOff errors.
  • Configured Horizontal Pod Autoscalers (HPA) and cluster-autoscaler rules to handle production traffic bursts smoothly.
KubernetesPrometheusGrafanaAlertmanagerDocker SwarmBash Scripting
View repo