MJ Terminal Monogram
Mukul JainCloud & DevOps Platform
Actively Interviewing
Open to Platform Engineering, DevOps & Site Reliability Roles (Remote / Hybrid / On-site)
Executive Engineering Profile

Mukul Jain

Cloud Platform & DevOps Engineer

Building reliable, scalable cloud infrastructure and high-velocity developer platforms. Helping fast-growing engineering teams ship faster, optimize cloud spend, and maintain resilient 99.99% system uptime.

badge

Candidate at a Glance

Verified Track Record
Current Role DevOps Engineer at Dotpe Scaling cloud infrastructure across tier-1 fintech microservices
Core Focus AWS Cloud · Kubernetes · GitOps & CI/CD · AI Observability
$7k+ Annual Savings
30k+ Domains Scaled
99.99% Production Uptime
verified AWS & Meta Certified Specialist
Dual Credentials
01 // BUSINESS IMPACT & KEY ACHIEVEMENTS

Proven Engineering Results in Production

Direct metrics demonstrating cost optimization, high availability, and operational velocity.

CLOUD COST OPTIMIZATION Direct ROI
$7,000+ Saved Annually

Architected an asynchronous Kafka event buffering layer that compressed high-frequency continuous writes into batched Parquet files, slashing expensive cloud API requests by 99.9% while increasing system fault-tolerance.

S3 API Operations Reduced From 14M/month → 14k/month
Cost Architecture AWS S3 Kafka Streaming Go Microservices
INFRASTRUCTURE MODERNIZATION -52% Server Memory
30,000+ Domains Scaled

Migrated high-traffic multi-tenant client storefronts to modern Caddy v2 reverse proxies with dynamic Redis TLS cert automation, delivering zero-downtime certificate renewal and 52% reduction in memory footprint.

Caddy v2 Kubernetes Ingress Automated TLS
RELIABILITY & SCALABILITY 100% Availability
Zero Downtime Deployments

Executed seamless major Kubernetes version upgrades across live production clusters using Karpenter blue/green node groups and pod disruption budgets without interrupting daily business operations.

AWS EKS Karpenter Zero Downtime Strategy
AI & INCIDENT AUTOMATION 80% Faster MTTR
< 2 Mins Incident Recovery

Developed an autonomous AI-assisted incident copilot integrating AWS Bedrock and log indices via FastMCP. Enables on-call engineering teams to diagnose production crashloops and database locks within minutes.

Impact: Automated Slack triage briefs for on-call engineers 99.8% Analysis Accuracy
AWS Bedrock OpenSearch Site Reliability Engineering Python
02 // WORK EXPERIENCE & LEADERSHIP

Production Systems Experience

Continuous Production Track Record

Dotpe Pvt. Ltd.

Current Role
DevOps Engineer · Platform & Cloud Infrastructure
2024 — Present · Gurugram, India (Hybrid)
  • Scaled and maintained resilient Kubernetes architecture across AWS multi-zone infrastructure serving millions of active e-commerce users with 99.99% uptime.
  • Spearheaded GitOps CI/CD adoption using ArgoCD, reducing deployment lead times by 40% and eliminating manual staging misconfigurations.
  • Engineered real-time observability pipelines with Prometheus & Grafana, cutting redundant alert noise by 65% for the on-call engineering team.
  • Integrated AI capabilities (AWS Bedrock) into platform monitoring workflows to accelerate incident root-cause analysis and recovery.
Core Tech: AWS EKS ArgoCD Helm Prometheus & Grafana AWS Bedrock Terraform

Short Hills Tech

Completed
Software Engineer Trainee · Applied AI Systems
2023 — 2024 · Noida, India
  • Built internal AI-powered document search and retrieval pipelines using Python, LLM APIs, and vector chunking in ChromaDB.
  • Containerized microservices via multi-stage Docker builds, decreasing cold-start deployment latencies by 38% on staging ECS clusters.
  • Collaborated with cross-functional teams to streamline developer staging environments and built interactive analytical dashboards.
Core Tech: Python Docker OpenAI / Gemini APIs Vector Databases Streamlit
03 // KEY PROJECTS & PLATFORMS

Production Engineering Portfolio

Full-Stack Cloud & AI Implementations
query_stats Full-Stack SaaS Platform
Live in Production

Trading Journal SaaS & Observability Pipeline

Full-featured financial tracking platform built with Node.js, MongoDB, and AWS serverless alerting with payment integration. Engineered with idempotent transaction processing to eliminate billing discrepancies under peak loads.

Architecture Highlights: CloudWatch → SNS → AWS Lambda
Service Uptime: 99.98%
Webhook Loss: 0.00%
React Node.js MongoDB AWS Lambda Razorpay API
smart_toy AI Platform Engineering
MCP Integration

AI-Powered Incident Response Assistant

Smart on-call assistant integrating LLM reasoning to diagnose cloud errors, inspect container logs, and deliver instant, actionable summaries directly to engineering Slack channels.

Model & Protocol: Claude 3.5 Sonnet + OpenSearch FastMCP
Triage Speedup: 80% Less Time
Summary Accuracy: 98.4%
AWS Bedrock FastMCP OpenSearch Slack Webhooks Python
04 // SKILLS & TECHNICAL CAPABILITIES

Core Toolchain & Engineering Skills

Organized by Professional Competency
Cloud & Infrastructure cloud
  • AWS (EKS, EC2, S3, IAM, VPC)Expert
  • Kubernetes & HelmAdvanced
  • Docker & ContainerizationAdvanced
  • Karpenter AutoscalerProficient
  • Cloud Cost OptimizationProven ROI
Focus: Multi-tenant resilient cloud architecture
CI/CD & GitOps sync_alt
  • ArgoCD GitOps WorkflowsCore
  • GitHub Actions PipelinesActive
  • Terraform IaCDeclarative
  • GitLab CI & JenkinsProficient
  • Automated Release CadencePracticed
Focus: Automated, repeatable zero-touch deployments
Observability & Reliability monitoring
  • Prometheus & AlertmanagerAdvanced
  • Grafana Dashboard DesignAdvanced
  • OpenSearch & FilebeatCentralized
  • Apache Kafka StreamsStreaming
  • Incident Management (PagerDuty)SRE
Focus: Proactive alerting & sub-second anomaly detection
Code & Soft Skills code
  • Python (Boto3, Automation)Proficient
  • Bash & Linux InternalsCore
  • Go & Node.js MicroservicesProficient
  • Agile / Scrum & JiraPracticed
  • Cross-Team CollaborationLeadership
Focus: High-velocity teamwork & developer productivity
05 // ACCREDITATION & EDUCATION

Formal Credentials & Specializations

Validated Cloud Engineering Knowledge
verified

AWS Certified Developer

Associate Level · AWS

Cloud architecture, serverless orchestrations, IAM roles, and decoupled event architectures.

AMAZON WEB SERVICES VERIFIED ↗
developer_mode

Meta Back-End Developer

Specialization · Meta

Microservices architectures, relational database indexing, API rate limiting, and defensive design.

COURSERA / META VERIFIED ↗
school

B.Tech in Computer Science (AI)

G.L. Bajaj Inst. of Tech & Mgmt

Graduated with First Class with Distinction. Core focus on distributed operating systems and AI algorithms.

AKTU UNIVERSITY DISTINCTION
06 // RECRUITER & HIRING INQUIRIES

Let's Connect & Discuss Opportunities

Direct Line to Mukul Jain

Open to High-Impact Platform & SRE Roles

I am actively exploring Platform Engineering, DevOps, and Site Reliability roles. Whether you have an open team position, a confidential search, or want to discuss engineering strategy, I would love to hear from you.

Direct Email mukulj2018@gmail.com Response time: within 24 hours
Location & Work Model New Delhi / NCR, India Open to Remote, Hybrid, & Relocation
Current Availability Available Immediately / Notice Negotiable Full-Time Roles & Select Advisory