DevOps EngineerNew Delhi, India · Remote-friendly

Mojahid-Ul Haque

Cloud platforms that keep production shipping.

I build and operate reliable cloud infrastructure, automate CI/CD pipelines and develop AI-assisted DevOps workflows across cloud-native environments. 3+ years in production SaaS at Masters' Union University, VenturePact and Outgrow.

Portrait of Mojahid-Ul Haque, DevOps Engineer based in New Delhi, India
Available

~/stack

  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Jenkins
  • GCP
  • GitLab

01~/about

The engineer behind the pipelines

Three production SaaS platforms, three clouds, and the pipelines, clusters and dashboards that keep them shipping.

New Delhi, India
Remote-friendly

Mojahid-Ul Haque (also written Mojahidul Haque / Mojahid Ul Haque) is a DevOps Engineer based in New Delhi, India, with hands-on experience across AWS, Azure and GCP. He builds and operates cloud infrastructure, CI/CD pipelines, Kubernetes platforms and observability stacks for production SaaS products at Masters' Union University, VenturePact and Outgrow.

AWS Certified DevOps Engineer – Professional, Solutions Architect – Associate and Developer – Associate; currently pursuing an M.Tech in Cloud Computing at BITS Pilani. On the side he runs Crafzo, a small digital studio shipping free browser tools (IP lookup, LinkedIn post editor, DNS lookup and more). Focused on automation, system reliability and shipping scalable platforms.

Operating
Cloud infrastructure for SaaS products at Masters' Union University, VenturePact and Outgrow.
Studying
M.Tech in Cloud Computing at BITS Pilani.
Building
DevOps Doctor and DeploySentinel AI in the open, plus Crafzo's free browser tools.

Engineering focus

6 areas · no employer metrics
  • Faster, safer delivery. CI/CD pipelines with caching, quality gates and a rehearsed rollback path.
  • Efficient container images. Multi-stage builds and dependency caching that keep images small and deploys quick.
  • Infrastructure as code. Terraform-provisioned environments, reviewed as plans before anything is applied.
  • Reliability and observability. Monitoring, alerting and incident response with Grafana, New Relic and CloudWatch.
  • Less cloud waste. Cost awareness treated as a routine engineering practice, not a quarterly cleanup.
  • AI-assisted workflows. Merge-request review and pipeline diagnosis with AI, packaged as reusable tools.

02~/experience

Three production platforms, since 2023

Work history and education, most recent first.

3 roles · 2 degrees
2019 to present

Work

3 entries
  1. DevOps Engineer

    Masters' Union University

    Gurugram, India

    Build and maintain the cloud infrastructure and delivery automation behind the university's learning platform: containerized workloads, CI/CD pipelines, deployment reliability and production monitoring.

  2. DevOps Engineer

    VenturePact

    Remote

    Engineer CI/CD pipelines with GitLab, Jenkins and Terraform and operate multi-cloud infrastructure across AWS, Azure and GCP, with a focus on release reliability, infrastructure as code and secure operational practices.

  3. DevOps Engineer

    Outgrow

    Remote

    Support the production cloud infrastructure of a lead-generation SaaS platform: container deployments, CI/CD automation, observability and incident response for a customer-facing product.

Education

2 entries
  1. M.Tech - Cloud Computing

    BITS Pilani

    Pilani, Rajasthan

    Pursuing advanced studies in cloud computing, focusing on distributed systems, cloud architecture, and enterprise-scale infrastructure solutions.

  2. B.Tech - Computer Science

    Lovely Professional University

    Jalandhar, Punjab

    Developed a strong foundation in computer science and DevOps practices, focusing on cloud computing, automation, and continuous deployment strategies.

Prefer a document? The full resume is one click away.

03~/stack

Tools I run in production

Grouped by what they do. Depth is a five-step meter rather than a percentage: Expert, Advanced or Proficient, with what each group is for.

53 tools · 9 groups
AWS · Azure · GCP

Cloud Platforms

3 tools

AWS first, backed by three AWS certifications; Azure and GCP where the product needs them.

  • AWS
  • Azure
  • GCP

Containers & Orchestration

6 tools

Small, secure images and the clusters and services that run them, on Kubernetes, ECS/Fargate and AKS.

  • Docker
  • Docker Compose
  • Kubernetes
  • Helm
  • ECS / Fargate
  • AKS

CI/CD & GitOps

6 tools

Pipelines that build, test, scan and promote releases; GitOps delivery with Argo CD.

  • GitLab CI/CD
  • Jenkins
  • GitHub Actions
  • Azure DevOps
  • Argo CD
  • SonarQube

Infrastructure as Code

3 tools

Reproducible environments from reviewed plans, not from console clicks.

  • Terraform
  • Ansible
  • Bash

Monitoring & Reliability

6 tools

Dashboards, alerting and logs that make an incident explainable.

  • Prometheus
  • Grafana
  • New Relic
  • CloudWatch
  • ELK
  • Vector

AI & Agentic DevOps

6 tools

AI-assisted pipeline diagnosis and code review: DevOps Doctor (Codex plugin) and DeploySentinel AI (Bedrock).

  • Codex plugins
  • Amazon Bedrock
  • MCP integrations
  • Gemini
  • n8n
  • Automated MR review

Security & Compliance

8 tools

OWASP-aligned checks, scanning in the pipeline and SOC 2 practices in daily operations.

  • OWASP
  • Cloud security
  • SOC 2 practices
  • Security scanning
  • Burp Suite
  • Nmap
  • Nikto
  • Wireshark

Programming & Data

8 tools

Automation and tooling in Python, Bash and Node.js, including AWS Lambda utilities; the data stores behind the products.

  • Python
  • Bash
  • Node.js
  • AWS Lambda
  • YAML
  • PostgreSQL
  • MongoDB
  • Redis

Systems & Networking

7 tools

Linux servers, edge and reverse proxying, and the DNS/HTTP diagnostics behind the Crafzo tools.

  • Linux
  • Ubuntu Server
  • Windows
  • Nginx
  • Cloudflare
  • DNS / HTTP diagnostics
  • ngrok
  • 3cloud platforms
  • 6containers & orchestration
  • 6ci/cd & gitops
  • 3infrastructure as code
  • 6monitoring & reliability
  • 6ai & agentic devops
  • 8security & compliance
  • 8programming & data
  • 7systems & networking

04~/platform

How the pieces fit in production

A reference platform assembled from the stack above: the shape of what I build and run for product teams, from a pushed commit to a healthy release. Not any one client's system.

8 components · 1 delivery path
commit to healthy
~/platform/reference.svg
  1. Developerspush feature branches
  2. GitGitLab · GitHub
  3. CI pipelineGitLab CI · Jenkins: build, test, SonarQube scan
  4. Container registryimmutable, tagged Docker images
  5. Continuous deliveryArgo CD · Helm roll the release out
  6. Kuberneteson AWS · Azure · GCP, provisioned with Terraform and Ansible
  7. Ingress to usersNginx · Cloudflare
  8. ObservabilityPrometheus · Grafana · New Relic watch every stage

Every box is a tool from the stack above. Shapes, not secrets: no client topology is reproduced here.

05~/projects

Open-source tools and the platforms I run

Personal projects are public repositories you can read. Platform work is the DevOps role at each employer: infrastructure, pipelines and reliability, not the product code.

2 open-source projects
4 platforms · 3 in production
~/open-sourcepublic repositories
open source · read-only by design

DevOps Doctor

AI-powered DevOps & SRE assistant, packaged as a Codex plugin

An open-source Codex plugin for fast, read-only DevOps and SRE work. It collects evidence from locally authenticated CLIs and repository files, reports blockers plainly when tools or permissions are missing, and pairs risky production changes with validation and rollback guidance.

  • GitLab pipeline doctor
  • GitLab MR review
  • AWS deployment doctor
  • ECS/Fargate doctor
  • Terraform plan review
  • Security drift check
  • Cost optimizer
  • Observability doctor
  • Rollback planner

stack: Codex plugin · Python · GitLab CI/CD · AWS · Terraform · Docker · Kubernetes

AWS hackathon build · ap-southeast-2

DeploySentinel AI

Evidence-backed root-cause analysis and human-approved recovery for failed AWS deployments

Captures a failed ECS deployment's own evidence (deployment and task state, ALB target health, CloudWatch logs, task-definition diff), asks Amazon Bedrock for a root-cause analysis that is validated against that evidence, and rolls back to the known-good revision only after a human approves it, through Step Functions and a least-privilege Lambda.

  • Deployment evidence capture
  • Bedrock root-cause analysis
  • Evidence-grounded validation
  • Incident timeline + config diff
  • Human-approved rollback
  • Post-recovery verification

stack: ECS/Fargate · ALB · Lambda · API Gateway · DynamoDB · Bedrock · Step Functions · CloudWatch · Terraform

~/platformsDevOps role at each employer

08~/beyond-devops

Crafzo, a studio for free browser tools

On the side I run a small digital studio shipping browser tools and clean web experiences. All free, no signups.

4 live tools
all under crafzo.com

GitHub: github.com/mojahid0862

09~/verification

Claims you can check yourself

Verifiable production experience, certifications, and education credentials. Where a public record exists, the tile links to it.

Credly · LinkedIn · GitHub
public records

Education

M.Tech @ BITS Pilani

Cloud Computing specialization (2025-Present). B.Tech CS from LPU (2019-2023).

Listed under Experience above

Platform scope

Multi-cloud

AWS, Azure, and GCP workloads with Kubernetes orchestration and observability.

Listed under Stack above

10~/faq

Questions people actually ask

Quick answers about Mojahid-Ul Haque, his experience, and how to get in touch.

11 questions
one is open by default
  • Mojahid-Ul Haque (also written Mojahidul Haque or Mojahid Ul Haque) is a DevOps Engineer based in New Delhi, India. He builds and operates cloud infrastructure, CI/CD pipelines, Kubernetes platforms, and observability stacks for product teams shipping on AWS, Azure, and GCP. He currently works at Masters' Union University, VenturePact, and Outgrow, and is pursuing M.Tech in Cloud Computing at BITS Pilani.

11~/contact

Let's get something shipped

Open to full-time, contract and freelance DevOps, SRE and cloud engineering work. Email is fastest.

New Delhi, India · IST (UTC+05:30)
open for opportunities