ALL SYSTEMS NOMINAL

Deploying infrastructure that doesn't fail at 3 AM.

DevOps & Site Reliability Engineer — AWS · Kubernetes · CI/CD

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Operator Profile

DevOps and Site Reliability Engineer with one year at Minfy Technologies, operating AWS, Kubernetes, and CI/CD alongside senior engineers. I treat infrastructure like a mission: instrumented, observable, and built to hold under load — not patched together and hoped for.

I drove 25% cloud-cost savings, raised deploy success to 98%, and engineered ZEPLOY, a CLI that cut deploy effort by 60%. I also built a self-healing MLOps system that predicts failures before they cascade. Certified across AWS SAA, Azure AZ-104, and OCI Professional.

AWS spend reduced

Deploy success rate

0.0%

Uptime upheld

Deploy effort saved · ZEPLOY

Education

B.Tech, Computer Science and Engineering

SRM Institute of Science and Technology

Chennai, India · 2021 — 2025

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Work Experience

MONITOR STAGE● ACTIVE

Associate DevOps Engineer / Site Reliability Engineer

Minfy Technologies · Oct 2025 — Present

0.0%

Uptime

-0%

MTTD

-0%

MTTR

0+/wk

Deploys

Provisioned multi-tenant AWS environments with senior engineers — Terraform modules for ECS, ECR, S3, and VPC plus ALB/NLB load balancing with TLS termination, hosting 10+ microservices.
Operated Amazon EKS clusters with the platform team, tuning HPA and Helm to uphold 99.9% uptime.
Deployed Prometheus, Grafana, and ELK Stack dashboards with senior SREs, cutting MTTD 35% and MTTR 25%.
Partnered with security teams to embed SonarQube, container scanning, and AWS Secrets Manager into CI/CD, remediating critical vulnerabilities pre-release.
Pinpointed EC2 rightsizing and Savings Plans optimizations, driving 25% lower AWS spend.
Defined SLOs/SLIs with senior engineers and automated incident runbooks, lifting availability from 99.5% to 99.9%.
Standardized GitOps on GitHub Actions with platform leads, enabling 15+ deploys/week at 98% success.

BUILD STAGE

Tech Intern, DevOps Engineer

Minfy Technologies · Apr 2025 — Sep 2025

Deploy success

-0%

Pipeline runtime

-0%

Image size

Effort saved

Shipped ZEPLOY, a Go/Python CLI automating ECS Fargate deployments, saving 60% of effort across 5 teams.
Revamped Jenkins pipelines under senior review, lifting deploy success from 85% to 98% and trimming runtime 40%.
Streamlined Docker images with multi-stage builds and Trivy scanning, shrinking image sizes by 30%.
Authored Ansible playbooks for server provisioning, compressing manual setup from 4 hours to 15 minutes.
Coached 2 junior interns on Docker and Jenkins fundamentals during onboarding.

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Deployed Systems

SVC-01

ZEPLOY

AWS Deployment CLI

● STABLE

GoPythonDockerAmazon ECSAWS FargateGitHub Actions

25→5 min

Deploy time

commits · 52w

Unified Fargate deployments into a single-command CLI, reducing deploy time from 25 to 5 minutes.
Implemented health-check-validated rollback via GitHub Actions, restoring failed releases automatically.

VIEW SOURCE ↗

SVC-02

Vanix

Cattle Management System

● STABLE

TerraformHCLIaCCloud Infrastructure

100% IaC

Provisioning

commits · 52w

Vanix — a cattle-management system tackling real livestock-tracking and herd-record problems for farm operations.
Cloud infrastructure provisioned entirely as code with Terraform (HCL) — reproducible, versioned environments.

VIEW SOURCE ↗

SVC-03

Prompt Challenge

PromptWars 2026 · 1st-Place Project

● STABLE

TypeScriptGenAIPrompt Engineering

PromptWars 2026

commits · 52w

The GenAI prompt-engineering project that took 1st place at PromptWars Hyderabad 2026 (Google for Developers × Hack2skill).
Built in TypeScript as an interactive prompt-challenge experience.

VIEW SOURCE ↗

SVC-04

Predictive Infra Health

Self-Healing MLOps System

● IN PROGRESS

PythonDockerAmazon EKSPrometheusCloudWatchELK

3 sources

Telemetry fused

awaiting deployment

Trained an ML model on Prometheus, CloudWatch, and ELK telemetry to predict failures and localize root causes.
Built a remediation layer recommending node drains, rolling restarts, and scale-downs before failures cascade.
Closed the MLOps loop with containerized inference on EKS, drift monitoring, and continuous retraining.

AWAITING DEPLOYMENT

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Systems & Capabilities

CLOUD5

Cloud & Containers

AWS (EC2, ECS, EKS, Fargate, Lambda, S3, IAM)
Azure
OCI
Docker
Kubernetes

PIPELINE8

IaC & CI/CD

Terraform
Ansible
CloudFormation
Jenkins
GitHub Actions
GitLab CI/CD
ArgoCD
GitOps

MLOPS5

MLOps

Model Training
Model Serving
Anomaly Detection
Drift Monitoring
Continuous Retraining

TELEMETRY6

Monitoring & Observability

Prometheus
Grafana
CloudWatch
ELK Stack
SLIs/SLOs
MTTD/MTTR

RELIABILITY4

Reliability

High Availability
Incident Management
Runbook Documentation
Failure Prediction

SECURITY8

Security & Networking

SonarQube
Trivy
RBAC
SAST
Secrets Management
TLS
L4/L7 Load Balancing
DNS

RUNTIME6

Scripting & OS

Python
Bash
TypeScript
SQL
Linux administration
Windows Server

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Certifications & Achievements

1st Place — PromptWars Hyderabad 2026

Google for Developers × Hack2skill

GenAI prompt-engineering competition

VERIFY ↗

AWS Certified Solutions Architect – Associate badge

AWS Solutions Architect — Associate

Amazon Web Services

SAA-C03

OCI 2025 Certified DevOps Professional

Oracle Cloud Infrastructure

Professional · 2025

Microsoft Certified: Azure Administrator Associate

Microsoft

AZ-104

ID · C8C967592FA523CC

✓

OCI 2025 Multicloud Architect Professional

Oracle Cloud Infrastructure

Professional · 2025

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Available for DevOps / SRE opportunities. Open a channel and I will get back to you.

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EMAIL: sanskargoyal00@gmail.com
GITHUB: @Sanskar989
LINKEDIN: sanskar-goyal