mayank-agarwal  ·  ALL SYSTEMS OPERATIONAL
session uptime 00:00:00
Available to join immediately · Jaipur, India · Open to Bangalore (hybrid)

Mayank Agarwal

SITE RELIABILITY ENGINEER — KUBERNETES, CLOUD & AI-ASSISTED AUTOMATION

Site Reliability Engineer with 3.5+ years across cloud operations and infrastructure engineering. I run containerised workloads on Kubernetes and Docker, with AWS as my primary platform alongside Azure, and I build the infrastructure as code in Terraform and Ansible rather than clicking through consoles. Day to day that means CI/CD pipelines, Prometheus and Grafana monitoring, on-call incident response, and root cause analysis. Alongside that I've built a multi-agent AI platform using LLMs, RAG, and LangChain/CrewAI for automated Kubernetes and cloud incident analysis. AWS Certified Solutions Architect – Associate.

Email me → Download resume ↓ Call +91 94620 85246 LinkedIn GitHub
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years in cloud & SRE
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clouds run — AWS & Azure
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certifications held

Stack

What I run

Cloud & Containers operational
AWS (EC2, IAM, VPC, S3, RDS) as the primary platform, with Microsoft Azure alongside it. Docker and Kubernetes for containerised workloads across development and production.
Infrastructure as Code operational
Terraform and Ansible for version-controlled, repeatable provisioning — replacing manual console setup with configuration that can be reviewed and rebuilt.
CI/CD & Version Control operational
Jenkins, GitHub Actions, and Azure DevOps Pipelines with Git — automating build, test, and deployment on every commit.
Observability & Monitoring operational
Prometheus and Grafana for metrics, dashboards, and alerting, plus SNMP and syslog for infrastructure-level signals.
Reliability & Incident Response operational
On-call support, incident triage and escalation, root cause analysis, postmortem reviews, runbook documentation, and SLA-driven support.
Programming & Scripting operational
Python and Bash for automation and operational tooling, with Node.js and PowerShell where the environment calls for them.
AI-Assisted SRE operational
PyTorch, Hugging Face, LangChain, CrewAI, RAG, and LoRA/QLoRA fine-tuning — applied to multi-agent incident analysis rather than as a side interest.
Linux & Databases operational
Linux and Windows Server administration — patching, service and kernel-level troubleshooting, performance tuning. MySQL, SQL, and Amazon RDS on the data side.

Builds

What I've shipped

● deployed self-directed

AI-Powered Cloud Incident Response Platform

A multi-agent AI platform that analyses cloud and Kubernetes incidents using LLMs and RAG, with specialised agents for log analysis, root-cause detection, and troubleshooting recommendations. Fine-tuned an open-source model with LoRA and QLoRA, comparing accuracy, memory use, and inference speed across runs. Retrieval built on vector search with LangChain and CrewAI agent workflows; containerised and deployed on Docker, Kubernetes, and AWS with CI/CD and monitoring.

LangChainCrewAIRAGLoRA/QLoRAKubernetesAWS
View on GitHub →
● live 2024 — present

JobBinge AI — AI-Native Recruitment Platform

A full-stack hiring platform built end to end: Node.js/Express backend, SQL database, REST API, and a responsive web front end. The interesting part is the multi-model AI routing layer — Claude, Gemini, and DeepSeek APIs with automatic failover, applying reliability and redundancy patterns to a production AI service. I own the full deployment lifecycle, including environment config, release packaging, admin tooling, activity logging, and API cost monitoring.

Node.jsSQLMulti-model AIFailover
Personal product — in active development
● completed self-directed

AWS Cloud Infrastructure & DevOps Lab

Multi-tier environments built on AWS EC2 with Linux, containerised workloads on Docker, and CI/CD workflows orchestrated through Jenkins and GitHub Actions — a working sandbox for testing patterns before they reach production.

AWSLinuxDockerJenkins
View on GitHub →

Deployment log

Experience

Nov 2023 — present
Cloud Engineer · Delta 360 Services Pvt Ltd
Noida, India
  • Build, deploy, and optimise cloud infrastructure across AWS and Azure for high availability and scalability — compute, VPC networking, storage, and IAM policy configuration.
  • Provision and manage infrastructure as code with Terraform and Ansible, replacing manual console setup with version-controlled, repeatable configuration.
  • Containerise and deploy applications with Docker, orchestrated on Kubernetes across development and production environments.
  • Build and maintain CI/CD pipelines with Git, Jenkins, and GitHub Actions to automate build, test, and deployment on every commit.
  • Monitor production systems with Prometheus and Grafana, troubleshoot incidents, and contribute to root cause analysis and postmortem documentation.
  • Automate recurring provisioning and operational tasks with Python and Bash to reduce manual effort.
Mar 2023 — Oct 2023
Cloud Engineer · NXTGEN Datacenter & Cloud Technologies
Bengaluru, India
  • Managed AWS infrastructure across client environments — EC2 instances, IAM users, policies and roles, VPC networking, subnets, and security groups.
  • Performed Linux and Windows Server administration on production systems: installation, patching, service and kernel-level troubleshooting, and performance tuning.
  • Owned production incidents end to end through on-call triage, escalation, and service restoration within SLA targets, applying incident, problem, and change management practices.
  • Supported CI/CD delivery with Jenkins, Git, and Docker across development and production environments.
  • Ran root cause analysis on recurring incidents and documented findings, remediation steps, and operational runbooks for the wider team.
Jun 2022 — Aug 2022
Project Intern · IBM
India
  • Developed a secure file transfer application using Python and AWS services, implementing encryption for data in transit.
  • Contributed to testing, documentation, and deployment activities.

Credentials

Certifications & education

AWS Certified Solutions Architect – Associate AWS Cloud Technical Essentials AWS Academy Cloud Foundations AWS Fundamentals: Addressing Security Risk Fortinet Certified Fundamentals in Cybersecurity
B.Tech, Computer Science Engineering
UPES, Dehradun — CGPA 7.15/10
Graduated July 2023
Coursework: Cloud Computing, Docker & Kubernetes, CI/CD Pipelines, Linux Administration, Operating Systems, Networking, DBMS

Contact

Let's talk

mayank@sre:~

$whoami

mayank-agarwal — site reliability engineer, jaipur, open to bangalore (hybrid)

$cat contact.txt

email mayankagarwal27032002@gmail.com
phone +91 94620 85246
location Jaipur, Rajasthan — open to Bangalore (hybrid)
linkedin linkedin.com/in/mayank-agarwal-b52b691b0
github github.com/mayank2478
status available to join immediately
./reach-out --now