open to senior DevOps / Platform / SRE roles

Building resilient
cloud platforms.

Sr. DevOps / Cloud Platform Engineer · 7+ yrs · Azure + AWS

I design, migrate, and operate production-grade infrastructure across Azure and AWS — Kubernetes, Terraform, GitOps, secure cloud networking, and HA system design. I've shipped on-prem-to-cloud migrations, modernized legacy deploy systems, and cut infra cost by ~35% while raising reliability.

7+
years in production
150GB
db migrated · <5m downtime
~35%
infra cost reduction
10+
services · gitops pipelines

// terminal — try it

A live console with my career inside it.

Run real commands to explore my background. Try skills, experience, or sudo hire-me.

akshay@devops: ~ zsh · 80×24
akshay@devops:~$
↑↓ history · Tab autocomplete · Ctrl+L clear

// experience.log

Where I've shipped.

Four roles across enterprise SaaS, consulting, and agency work — each one moving production infrastructure forward.

Sr. DevOps Engineer@ Parallels Desktop

Nov 2022 — Present
Azure AKS Terraform ArgoCD Helm GitHub Actions Hub-Spoke cert-manager
  • Architected full on-prem → Azure migration with hub-spoke networking, Terraform IaC, and a zero-downtime cutover plan.
  • Migrated 150 GB+ production MySQL to Azure Flexible Server with live replication and <5 min downtime.
  • Stood up multi-env AKS clusters (dev/staging/prod) with HPA, Cluster Autoscaler, and multi-AZ node pools.
  • Drove ~35% infra cost reduction via right-sized node pools, spot instances, and autoscaling policies.
  • Modernized deployments from Ansible/Rundeck to Helm + ArgoCD GitOps — release time cut from hours to minutes.
  • Migrated Celery broker from Redis to RabbitMQ (CloudAMQP) behind Azure Private Endpoints for reliability.
  • Standardized Terraform module library — new env provisioning dropped from 2 days → 2 hours.
  • Decomposed monolithic repo into 10+ service-owned repos, each with isolated GitHub Actions CI/CD.
  • Designed Azure App Gateway + WAF, firewall policies, route tables, and private endpoint topology.
  • Owned the SRE function — incident response, RCA, reliability work, and on-call rotation.
  • Led and mentored 4–5 engineers on platform architecture, GitOps practices, and cloud security.

Senior DevOps Engineer@ Velotio Technologies

Mar 2022 — Nov 2022
AWS EKS Terraform GitHub Actions Prometheus Vault KMS
  • Provisioned full AWS infrastructure (EC2, VPC, RDS, EKS, S3, IAM) with Terraform across dev/staging/prod.
  • Built GitHub Actions CI/CD pipelines for microservices — build, test, Docker publish, Kubernetes deploy.
  • Cut EC2 spend by ~30% through right-sizing, reserved instances, and scheduled non-prod autoscaling.
  • Deployed Prometheus + Grafana + CloudWatch alerting with SLO-based dashboards and PagerDuty routing.
  • Wrote Lambda functions to derive custom business metrics from CloudWatch Logs Insights queries.
  • Designed multi-AZ VPCs with public/private split, NAT gateways, and least-privilege IAM.
  • Implemented automated RDS snapshot + cross-region replication for DR with a 4h RPO.
  • Managed application secrets with HashiCorp Vault and AWS KMS using envelope encryption.

DevOps Specialist@ Opstree Solutions

Jan 2021 — Mar 2022
AWS Terraform Jenkins ELK MySQL Ansible
  • Provisioned AWS (EC2, VPC, RDS, S3, ELB, Route53, CloudFront) via Terraform for multiple clients.
  • Led a zero-downtime MySQL 5 → 8 major upgrade in production with replication failover strategy.
  • Built and managed Jenkins CI/CD pipelines, Kubernetes workloads, and ELK stack observability.
  • Automated routine MySQL/MongoDB DBA tasks (backups, schema migrations, index optimization) via Ansible.
  • Reduced client AWS spend by ~20% through RI recommendations and S3 lifecycle policies.

DevOps Engineer@ Scaledesk Webstudio

Aug 2018 — Dec 2020
AWS CloudFormation Linux LAMP/LEMP
  • Deployed Django, WordPress, and Magento on AWS production infrastructure.
  • Built AWS Auto Scaling groups with ELB — reduced downtime during traffic spikes to zero.
  • Administered LAMP/LEMP stacks on Linux — performance tuning, query optimization, security hardening.
  • Managed CloudFormation stacks, IAM policies, S3 bucket policies, and CloudWatch alarms across accounts.
  • Implemented server monitoring + log aggregation — cut MTTD by 60%.

// architecture.azure

Hub-and-spoke on Azure.

A high-level view of the network I designed for the on-prem → Azure migration at Parallels. Shared security and ingress live in the hub; workloads are isolated in peered spokes.

internet · users
https
hub vnetShared services
app gateway + wafL7 ingress, TLS termination
azure firewallegress control, policies
route tables (udr)force traffic via firewall
private dnsprivate endpoint resolution
vnet peering
spoke 01Production
  • AKS · prod cluster
  • HPA + cluster autoscaler
  • multi-AZ node pools
  • cert-manager TLS
vnet peering
spoke 02Non-production
  • AKS · dev + staging
  • spot node pools
  • same Terraform modules
  • ArgoCD GitOps sync
vnet peering
spoke 03Data & messaging
  • MySQL Flexible Server
  • RabbitMQ (CloudAMQP)
  • private endpoints only
  • no public exposure
provisioned with Terraformdeployed via GitHub Actions → ArgoCDmonitored with Azure Monitor · Prometheus · Grafana

// stack.matrix

The toolbox.

Tools I reach for daily. The accented items are where I have the deepest production experience.

cloud01

Azure & AWS

Azure AKS App Gateway Private Endpoints Azure Firewall AWS EC2 VPC RDS Lambda S3 IAM
infra as code02

Terraform

reusable modules multi-env state management remote backends policy as code
orchestration03

Kubernetes & GitOps

Kubernetes Helm ArgoCD Docker HPA / Cluster Autoscaler cert-manager
ci/cd04

Pipelines

GitHub Actions Jenkins Ansible Rundeck
observability05

Monitoring & Logs

Prometheus Grafana ELK Stack Azure Monitor CloudWatch PagerDuty
data06

Databases & Queues

MySQL PostgreSQL MongoDB Redis RabbitMQ Celery
network & security07

Topology

Hub-Spoke Private Endpoints TLS / cert-manager WAF IAM least-privilege Vault KMS
web & os08

Servers & Linux

Nginx Nginx Ingress Apache Linux tuning
practices09

Ways of working

SRE / on-call incident response RCA + post-mortems cost optimization mentoring

// impact.dash

Impact, in numbers.

Quantified outcomes from production cloud work — cost saved, data migrated, services owned.

cost reduction across roles

Compounding wins from right-sizing, spot, autoscaling, and lifecycle policies.

data migrated to cloud (GB)

Production data moved with minimal downtime.

// credentials

Certifications & education.

certifications

  • AWS Certified Solutions Architect — Associate
    Amazon Web Services
    credential · NPNSLNRC8FF4Q7SH

education

  • Bachelor of Computer Applications (BCA)
    Amity University
  • Diploma in Computer Engineering
    Guru Nanak Dev Institute of Technology · Sep 2017
  • Languages
    English · Hindi

// ./contact.sh

Let's build resilient systems.

Hiring for senior DevOps, Platform, or SRE roles? Drop a note — I usually respond within 24 hours.

email akshayn007@hotmail.com resume · pdf assets/resume.pdf based in New Delhi, India · UTC+5:30
$ echo "currently open to senior roles"
$ response_time: ~24h
$ timezone: flexible