mirtunjay@devops:~
$ Hello, I'm

Mirtunjay
Kumar

|

Architecting cloud-native infrastructure, orchestrating at scale with Kubernetes, and shipping faster with battle-tested CI/CD pipelines. 9+ years of making systems reliable, secure, and self-healing.

9+Years DevOps
6Certifications
99.9%Uptime SLA
Mirtunjay Kumar
☸️Kubernetes Certified
Open to Work
scroll to explore
Mirtunjay Kumar exploring
Mirtunjay Kumar
9+Years in
DevOps

Building Systems
That Never Sleep

I'm Mirtunjay Kumar — a DevOps & SRE engineer obsessed with reliability, automation, and shipping infrastructure at scale.

From zero-downtime Kubernetes rollouts to multi-cloud Terraform architectures, I've spent 9+ years turning complex infrastructure challenges into elegant, automated solutions. I thrive at the intersection of development velocity and operational stability — where CI/CD meets SLA.

When I'm not tuning Prometheus alerts or writing Helm charts, I'm travelling, exploring ancient ruins, and finding inspiration in the world beyond the terminal. I believe the best infrastructure is the kind nobody notices — because it just works.

☸️
Cloud Native

Kubernetes, Docker, Helm, service mesh & GitOps

Automation First

Terraform, Ansible, CI/CD pipelines, IaC everything

🔒
SecOps & SRE

Ethical hacking, observability, 99.9% uptime SLAs

Work Experience

9+ years of shipping reliable infrastructure — from bare metal to cloud-native.

☸️
Feb 2023 — Present · 3 yrs 2 mos

Sr. DevOps Engineer

Hive · Full-time · On-site📍 Gurugram, Haryana, India

Leading cloud infrastructure for a cutting-edge AI content understanding platform — driving reliability, scalability, and automation across production systems.

  • Architected and managed AWS infrastructure (EKS, RDS, ALB, VPC) powering cloud-based AI solutions for content understanding
  • Built and maintained GitOps workflows with ArgoCD, reducing deployment failures and cutting release cycles
  • Designed Terraform modules for repeatable, one-click environment provisioning across dev/staging/prod
  • Led observability initiatives: Prometheus, Grafana, and alerting pipelines ensuring 99.9%+ uptime SLAs
  • Mentored engineering teams on DevOps best practices, Kubernetes operations, and incident response
  • Drove Python-based automation for infrastructure tasks, runbooks, and internal tooling
AWS EKSTerraformArgoCDPythonPrometheusGrafanaKubernetes
🌐
Sep 2021 — Feb 2023 · 1 yr 6 mos

Site Reliability Engineer

OLX Group · Full-time · Hybrid📍 Gurugram, Haryana, India

Ensured reliability and scalability of OLX Group's fast-growing trading platforms — one of the largest classifieds networks globally (Avito, OLX, Otomoto).

  • Maintained Kubernetes clusters supporting high-traffic classifieds platforms across multiple geographies
  • Designed and implemented architectural improvements to reduce latency and improve platform resilience
  • Owned SRE practices: SLOs, error budgets, blameless postmortems, and on-call runbooks
  • Collaborated with product and engineering teams on capacity planning and infrastructure scaling
  • Worked on Nginx configuration, load balancing, and traffic routing optimizations
KubernetesNginxSREAWSArchitectural DesignOn-call
🤖
Sep 2019 — Sep 2021 · 2 yrs 1 mo

Site Reliability Engineer

Netomi (formerly msg.ai) · Full-time · Hybrid📍 Gurugram, Haryana, India

SRE at an AI customer service startup — building infrastructure for ML workloads, data pipelines, and 24x7 globally distributed systems.

  • Set up and scaled environments using Terraform and Ansible for AI/ML infrastructure workloads
  • Worked with cutting-edge tech: Kafka & MSK, Cassandra, Redis, ElasticSearch, and DataScience pipelines
  • Integrated Datadog, CloudWatch, Nagios, and TIG Stack for full-stack observability
  • Built and maintained Jenkins pipelines for multiple projects and CI/CD requirements
  • Implemented cost optimisation and cloud conformity measures — significantly reducing cloud spend
  • Integrated OpsGenie for incident management; covered 24x7 on-call across 3 time zones
  • Contributed to Dockerized environments and automation test case integration
TerraformAnsibleKafkaDatadogJenkinsDockerElasticSearchOpsGenie
🔧
May 2018 — Sep 2019 · 1 yr 5 mos

Technical Support Engineer

Skilrock Technologies · Full-time · On-site📍 Gurgaon, India

Hands-on infrastructure and support engineering — hardening systems, managing diverse tech stacks, and keeping 24x7 operations running across 5 time zones.

  • Installed and configured monitoring tools for infrastructure visibility and alerting
  • Hardened and secured on-premise and cloud instances against vulnerabilities
  • Managed Nginx, JBoss, Tomcat, MySQL across varied production environments
  • Configured and managed Cyberoam Firewalls and network routers
  • Maintained 24x7 operations coverage across 5 international time zones
LinuxNginxMySQLCyberoam FirewallMonitoringSecurity Hardening
💼
Apr 2014 — Present · 12 yrs

Consultant

mirtunjay.devlop.in — Self-employed · Self-employed · Remote📍 India

Independent DevOps & infrastructure consultant helping businesses scale, optimize, and modernize their technical operations.

  • Understood client needs to deliver excellent consultancy and technical support across cloud and DevOps domains
  • Helped businesses reduce latency, improve response times, and increase overall application efficiency
  • Advised and facilitated implementation of technical solutions — from greenfield builds to existing system improvements
  • Guided teams in adopting industry best practices to optimize workflows and engineering culture
Amazon EKSNginxConsultingCloud ArchitectureDevOps

Skills & Expertise

A battle-tested toolkit for cloud-native infrastructure and DevOps at scale.

☸️

Cloud & Orchestration

Kubernetes / EKS / GKE95%
AWS / GCP / Azure92%
Docker & Containerd99%
Helm & Kustomize90%
🏗️

Infrastructure as Code

Terraform93%
Ansible & Chef88%
CloudFormation82%
Packer & Vagrant80%

CI/CD & GitOps

ArgoCD / Flux90%
GitHub Actions / GitLab CI94%
Jenkins & Tekton88%
SonarQube & Trivy85%
📊

Observability & Monitoring

Prometheus & Grafana92%
ELK / Loki / TIG Stack87%
Datadog & CloudWatch88%
Python / Go / Bash90%
🛡️

Security & Ethical Hacking

Vulnerability Assessment82%
Penetration Testing78%
Cloud Security & IAM88%
Firewall & Network SecOps85%

Education & Certifications

The credentials backing 9+ years of hands-on DevOps craft.

🎓
2014 – 2017

Bachelor of Science in Computer Science Engineering

University

Computer Science & Engineering — foundation in systems programming, networking, operating systems, and software architecture.

Computer ScienceNetworkingOperating SystemsSystems ProgrammingAlgorithms

> Professional Certs

🎩
RHCSARed Hat
☁️
AWS Solutions ArchitectAmazon Web Services
☸️
CKACNCF / Kubernetes
🏗️
Terraform AssociateHashiCorp
🛡️
Ethical Hacking EssentialsEC-Council
🏅
Cloud Tech AssociateCCC

> Technical Proficiencies

Kubernetes / EKS / GKE
AWS / GCP / Azure
Terraform & Pulumi
ArgoCD & GitOps
Docker & Helm
Ansible & Chef
Prometheus & Grafana
ELK / Loki Stack
GitHub Actions / Jenkins
Python / Go / Bash
Linux / RHEL
VMware / On-Prem
“The goal of infrastructure is to become invisible — reliable enough that developers forget it exists.”
— SRE Philosophy

Things I've Built

Things I build and ship — open source projects and engineering challenges worth documenting.

🐦
live

Pigeon

AirDrop for the open web

Browser-native P2P file transfer using WebRTC DataChannels. Files travel directly between devices — encrypted, zero-server, no install required. Built with Next.js, TypeScript, Framer Motion, and a standalone WebSocket signaling server.

WebRTCNext.jsTypeScriptP2POpen Source
🔀
shipped

Azure → AWS: Legacy Migration

Reverse-engineering a system nobody fully understood

Inherited a legacy Azure product built entirely through ClickOps — no IaC, no documentation, and the engineers who built it had long left the organisation. Nobody knew the full tech stack or data flow. Took initiative to reverse-engineer the entire system from scratch: tracing domains, intercepting and mapping bottom-layer API calls, and connecting every dot until a coherent architecture emerged. Reproduced that architecture in AWS from the ground up, ran a full data migration, and deployed using a blue-green strategy. Once QA signed off on sanity checks against the new environment, traffic was cut over by rerouting endpoints — zero-downtime handoff.

AWSAzureCloud MigrationBlue-GreenReverse EngineeringIaCClickOps
🤖
shipped

In-House Slack Bot Platform

Breaking the VPN-password ouroboros — and then some

When LDAP passwords expire under standard rotation policy, users lose VPN access — and resetting the password requires the internal endpoint that's only reachable over VPN. A perfect catch-22. The solution: an in-house Slack bot communicating over bi-directional WebSockets, requiring zero firewall holes and no VPN dependency. That single unlock became a platform — powering multiple org-specific automation workflows on top. The standout: an ephemeral secret-sharing flow where secrets are encrypted, shared once, and self-destruct 30 seconds after being read.

Slack BotWebSocketLDAPPythonSecret SharingInternal Tooling
☁️
shipped

600TB Cross-Region S3 Migration

When AWS's own tools hit their limits

Engineered a 600TB+ S3 data migration for a client from us-east-1 to us-west-1. S3 Batch Operations handled the majority of objects, but AWS's 5GB single-copy ceiling left large objects unreachable via that path. The AWS-recommended Lambda-backed workaround ran straight into Lambda's 15-minute execution limit — a hard wall at this data size. Designed a custom multipart upload pipeline on high-throughput EC2 instances, parallelizing chunked transfers to bypass both constraints and reach practical speeds across hundreds of terabytes.

AWS S3EC2PythonMultipart UploadS3 Batch OpsCloud Migration

Let's Connect

I'm open to senior DevOps, SRE, and platform engineering roles. Whether you need infrastructure at scale, CI/CD overhauls, or cloud-native migrations — I'd love to hear from you.

Currently Available

Open to Senior DevOps, SRE & Platform Engineering roles

contact.sh

mirtunjay@devops:~$ cat about_me.txt

Name: Mirtunjay Kumar

Role: DevOps & SRE Engineer

Experience: 9+ years

Status: Open to Work


mirtunjay@devops:~$ echo $STACK

K8s | Terraform | AWS | ArgoCD


mirtunjay@devops:~$ kubectl get sla

NAME      UPTIME   STATUS

prod-env  99.95%  Healthy


mirtunjay@devops:~$ |