About Me

Sneh Singh

Cloud Engineer

Mahindra & Mahindra Ltd.

  Mumbai, India

Cloud Engineer with 3+ years of enterprise experience at Mahindra & Mahindra, working across multi-cloud environments (AWS, GCP, Azure). I specialise in cloud architecture, infrastructure automation, enterprise-scale observability, and cloud security & compliance.

I bring hands-on depth across Kubernetes, Terraform, CI/CD pipelines, and Dynatrace AIOps – combining platform engineering with AI-driven automation to deliver production-ready, policy-compliant infrastructure at scale. A key focus of my work is building and enforcing secure, standardised cloud foundations across the enterprise.

  •   Multi-Cloud Architecture (AWS · Azure · GCP)
  •   Kubernetes & Container Orchestration
  •   Terraform IaC & GitOps Automation
  •   Dynatrace AIOps & Enterprise Observability
  •   CI/CD Pipelines – Jenkins, GitHub Actions
  •   Cloud Security, Org Policy & Compliance-as-Code

  Education

B.Tech – Computer Science & Engineering

Jaypee University of Engineering & Technology

2019 – 2023  •  CGPA: 8.3

XII – MP Board

Sardar Patel Higher Secondary School, Rewa (MP)

2019  •  90.6%

X – MP Board

Sardar Patel Higher Secondary School, Rewa (MP)

2017  •  90%

Skills

  Cloud Platforms

AWS Azure GCP

  DevOps & CI/CD

Jenkins GitHub Actions Ansible ArgoCD

  Infrastructure as Code

Terraform Helm CloudFormation

  Containers & Orchestration

Docker Kubernetes Istio Containerd

  Monitoring & Observability

Dynatrace Grafana ELK Stack Prometheus

  Languages & Scripting

Python Go Shell / Bash YAML

  Data Structures & Algorithms

Arrays & Strings Linked Lists Trees & Graphs Dynamic Programming Sorting & Searching Stack & Queue

  Practising on  LeetCode / Sneh713

  Data Analytics & Science

Pandas NumPy Matplotlib SQL Power BI scikit-learn

  CS Fundamentals

Operating Systems Computer Networks DBMS OOP TCP/IP & DNS Linux

  Security

IAM SentinelOne BigFix Qualys Prisma (Palo Alto) Zscaler Bindplane

Experience

Cloud Engineer

Mahindra & Mahindra Ltd. Aug 2024 – Present  •  Mumbai, India
  • Led cloud migration initiatives for enterprise workloads across AWS, GCP, and Azure – selecting appropriate strategies (rehost, replatform, refactor) based on business needs
  • Designed and implemented secure cloud architectures using microservices and container orchestration (Docker, Kubernetes)
  • Developed and maintained Infrastructure as Code (Terraform) for consistent, repeatable, and drift-free cloud deployments
  • Built and optimised CI/CD pipelines with Jenkins and GitHub Actions, enabling faster and reliable application releases
  • Implemented Dynatrace for centralised logging and real-time observability with AIOps alerting across all environments
  • Collaborated with cross-functional teams, demonstrating effective communication and leadership during project execution

Graduate Engineer Trainee

Mahindra & Mahindra Ltd. Aug 2023 – Jul 2024  •  Mumbai, India
  • Designed cloud networking (VPC) and security guardrails aligned with organisational policies
  • Supported large-scale cloud platform onboarding using AWS and GCP for enterprise business units
  • Automated infrastructure provisioning using Terraform, reducing manual effort and deployment errors significantly
  • Assisted teams in deploying applications across IaaS, PaaS, and SaaS models on multi-cloud environments

Cloud Intern

Mahindra & Mahindra Ltd. Feb 2023 – Aug 2023  •  Mumbai, India
  • Built GCP infrastructure components using Terraform following cloud best practices
  • Developed Terraform UI templates in Go, improving usability and adoption for internal engineering teams
  • Designed cloud solutions across IaaS, PaaS, and SaaS models on Google Cloud
  • Built a Generative AI platform using Azure OpenAI and Python for internal productivity tooling

Projects

Multi-Cloud Architecture

Designed a production-grade multi-cloud reference architecture spanning AWS, GCP, and Azure with unified networking, IAM federation, and centralised observability.

TerraformAWSGCPAzure

AIOps Automation

Built AI-driven runbook automation using Dynatrace Davis AI — automated incident detection, alerting, and self-healing workflows reducing MTTR significantly.

DynatracePythonAI/ML

Kubernetes Platform

Set up production-grade Kubernetes clusters with Istio service mesh, GitOps via ArgoCD, and full Prometheus/Grafana observability stack for microservices.

KubernetesIstioArgoCDHelm

Enterprise CI/CD Platform

End-to-end CI/CD pipelines with Jenkins and GitHub Actions — container image builds, SAST/SCA security scans, and zero-downtime automated deployments.

JenkinsDockerGitHub Actions

Sentiment Analysis Engine

NLP-based sentiment classification built with Python and scikit-learn, deployed as a REST API with near real-time inference for text analytics.

PythonNLPscikit-learn
  View Code

Restaurant Recommendation

Collaborative filtering and content-based recommendation system on the Zomato dataset – personalised restaurant discovery using machine learning.

PythonData ScienceML
  View Code

Certifications

Professional Cloud Architect

Google Cloud Platform (GCP)

Validates the ability to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions on Google Cloud.

  Verify Badge

Cloud & DevOps Expertise

Mahindra & Mahindra – Enterprise Platform Engineering

3+ years of production cloud engineering across multi-cloud environments with enterprise-grade SLA responsibilities.