Rahul Jangir

I'm

About Me

I am a Cloud / DevOps / SRE engineer with over four years of hands-on experience designing, building and operating AWS-based infrastructure. I work with Terraform (Infrastructure as Code), Docker, GitHub Actions CI/CD and operations automation, and I focus on continuously improving quality, cost, security and operational efficiency. By reviewing configuration and operations against AWS best practices, I reduced cloud costs by about 40%. Since August 2025 I have been a sub-leader at TDI System Service, guiding a team of 3–5 engineers and mentoring 6 new graduates, while also working on generative AI (RAG systems and local-LLM automation). With JLPT N1, I work comfortably in Japanese business environments and coordinate multinational teams.

Rahul Jangir

Cloud / DevOps / SRE Engineer & Generative AI

AWS Cloud Infrastructure, Infrastructure as Code, CI/CD, Observability & Generative AI (RAG / Local LLM).

  • Certifications: JLPT N1 / ITIL 4 / AWS SAA / AWS DVA
  • Phone: 080-7005-5953
  • City: Osaka, Japan

Beyond keeping infrastructure stable, I care about making it better: automating operations with Terraform and GitHub Actions, managing accounts and permissions with AWS Organizations and IAM, building Japanese-language New Relic dashboards so customers can grasp system status at a glance, and applying generative AI where it genuinely helps. I also enjoy sharing knowledge — an AI study session for 12 colleagues is planned — and I aim to grow into someone who leads managed infrastructure services and proposes improvements aligned with customers’ business goals.

Technical Skills

My core expertise spans AWS cloud infrastructure, Infrastructure as Code, CI/CD automation, observability, and generative AI application development.

AWS Cloud Infrastructure (ECS / EKS / ECR / Lambda / S3 / DynamoDB) 90%
Infrastructure as Code & Containers (Terraform / Docker) 88%
CI/CD & Operations Automation (GitHub Actions) 88%
Monitoring & Observability (New Relic APM / CloudWatch) 85%
AWS Security & Governance (IAM / Organizations / FortiGate) 80%
Python & FastAPI Backend Development 85%
Generative AI (LangChain / Bedrock / Hugging Face / RAG / Local LLM) 85%
TypeScript & Node.js 75%
Databases (PostgreSQL / MySQL / DynamoDB) 80%
Japanese Professional Communication (JLPT N1) 95%

Resume

Professional milestones, education history, and industry-standard cloud, DevOps & IT service management certifications.

Professional Certifications

Japanese Language Proficiency Test (JLPT) N1

JEES / The Japan Foundation · 2022

Highest level of Japanese language proficiency, proving fluent professional communication capability in technical business settings.

ITIL 4 Foundation Certification

AXELOS · 2025 (taken in Japanese)

Validates core concepts of IT Service Management (ITSM), incident resolution pipelines, SRE operational workflows, and continuous system enhancement lifecycle.

AWS Certified Solutions Architect – Associate (SAA)

Amazon Web Services · 2026

Validates expertise in designing and deploying secure, robust, and cost-efficient cloud architectures on AWS.

AWS Certified Developer – Associate (DVA)

Amazon Web Services · 2026

Validates skills in developing, deploying and debugging cloud-native applications on AWS, including serverless services and CI/CD workflows.

Education

Bachelor of Computer Applications (BCA)

Jan 2024 - Mar 2027

Mangalayatan University, UP, India (Online)

Focusing on system design patterns, object-oriented concepts, structural databases, and networking protocols.

IT Technical Department Diploma

2020 - 2022

Osaka Information and Computer Science College, Osaka, Japan

Studies in systems programming, data structures, network security, database administration, and algorithms. Awarded a medal for academic excellence and received the JASSO Scholarship for outstanding performance.

Japanese Language Course

2018 - 2020

First Study Japanese Language School, Osaka, Japan

Moved to Japan in October 2018; completed bilingual training in advanced Japanese grammar, business communications, and social etiquette.

Professional Experience

DevOps / AI Engineer (Sub-Leader)

Aug 2025 – Present

TDI System Service Co., Ltd.

  • Designed, built and operated AWS cloud infrastructure, with Infrastructure as Code in Terraform and container operations on Docker / AWS ECS.
  • Built GitHub Actions CI/CD pipelines (including deployment to ECS) and automated routine operations.
  • Reviewed configuration and operations against AWS best practices and reduced cloud costs by about 40%.
  • Managed accounts and permissions with AWS Organizations & IAM; handled basic network/security settings with FortiGate.
  • Designed and developed Japanese-language New Relic APM dashboards that consolidate monitoring data from multiple servers so customers can grasp system status intuitively.
  • Sub-leader on a 15-member agile project: task distribution, progress management, technical follow-up and code review for 3–5 members, mentoring of 6 new graduates, and coordination across a multinational team.
  • Generative AI: introduced a RAG system, built local-LLM automatic incident-report generation (including masking of sensitive data), and set up a low-code platform with Node-RED.
  • Planning an internal AI technology-sharing study session for 12 colleagues.

Tech: AWS (ECS, Lambda, S3, DynamoDB, CloudWatch, IAM, Organizations, Bedrock), Terraform, Docker, GitHub Actions, Linux, FortiGate, New Relic, Python, FastAPI, LangChain, Hugging Face, Node-RED

DevOps / System Engineer (Backend & Cloud)

Oct 2023 – Jul 2025

PayStorage Co., Ltd. (Center Mobile Co., Ltd.), Osaka, Japan

  • Added features to and refactored a SIM card sales management system to improve scalability, reliability and security across user registration, inventory, orders, payments, shipment tracking and invoicing.
  • Adopted Hexagonal Architecture with TypeScript and Node.js, separating domain logic from infrastructure to improve extensibility, testability and maintainability.
  • Operated container infrastructure on AWS ECS, EKS and ECR, and built AWS services (Lambda, API Gateway, S3, DynamoDB, Cognito, CloudWatch, SNS) for the platform.
  • Developed AI-related backend features, designed APIs, and handled order / supply-related functions and bug fixes.
  • Worked with PostgreSQL, MySQL and DynamoDB; used Git, GitHub Actions and Docker for CI/CD and containerized deployments.
  • Contributed across programming, operations and maintenance within a 15-member agile team, in a Japanese-language work environment.

Tech: TypeScript, Node.js, PostgreSQL / MySQL / DynamoDB, AWS (Lambda, API Gateway, ECS, EKS, ECR, S3, Cognito, CloudWatch, SNS), GitHub Actions, Docker

Programmer (Backend & Infrastructure)

Apr 2022 – Oct 2023

AppTime Inc., Osaka, Japan

  • Caregiving Product Recommendation App: built an app for elderly users, families and caregivers with a recommendation feature driven by user input and health data, PDF report output, QR code generation/scanning, and a Laravel 8 REST API.
  • Push Notification Platform: developed a new notification delivery platform for multiple internal applications using Firebase Cloud Messaging (FCM).
  • Handled the full lifecycle — requirements definition, design, implementation, testing and operations/maintenance — in a Japanese-language work environment.

Tech: JavaScript, PHP, Laravel, MySQL, AWS (EC2, ALB, Route53), Firebase, NGINX, Git / BitBucket

Cloud, DevOps & AI Case Studies

Selected work in cloud cost optimization, infrastructure as code, CI/CD, observability, and generative AI.

AWS Cloud Cost Optimization

AWS Cost Optimization (−40%)

AWS Best Practices

Reviewed infrastructure configuration and operations against AWS best practices, cutting cloud costs by about 40%.

Infrastructure as Code with Terraform

Infrastructure as Code

Terraform, Docker & AWS ECS

Provisioned and operated AWS infrastructure with Terraform and Docker-based container operations on ECS, with accounts managed via AWS Organizations and IAM.

CI/CD with GitHub Actions

CI/CD & Operations Automation

GitHub Actions & AWS ECS

Built GitHub Actions pipelines for build and deployment to AWS ECS, and automated recurring operational tasks.

New Relic Observability Dashboard

Japanese Observability Dashboard

New Relic APM

Consolidated monitoring data from multiple servers into a Japanese-language dashboard so customers can understand system status intuitively.

Generative AI RAG Application

RAG System Deployment

LangChain, Bedrock & Hugging Face

Introduced a RAG system with LangChain, Amazon Bedrock and Hugging Face, with Python / FastAPI backend services on AWS.

Local LLM Incident Report Generation

Local-LLM Incident Reports

Local LLM & Python

Automatically generates incident reports with a locally hosted LLM, including masking of sensitive information before processing.