Aditya Krishnakumar, Developer in Ahmedabad, Gujarat, India
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Aditya Krishnakumar

Verified Expert  in Engineering

DevOps Engineer and Developer

Location
Ahmedabad, Gujarat, India
Toptal Member Since
February 8, 2023

Aditya is a DevOps engineer with 6+ years of experience working on technological products serving the IT security, retail, and media and communications industries. He orchestrates the software development journey from commit to production. Aditya drives performance and reliability across multiple platforms, working closely with development and QA teams to understand requirements for build, test, deploy, and release processes.

Portfolio

Havit Spaces Holding GmbH
Amazon Web Services (AWS), Cloud, Containerization, Scripting Languages...
CodeComplete, Inc
Amazon Web Services (AWS), Google Cloud Platform (GCP), Terraform...
BCG
Amazon Web Services (AWS), Google Cloud, Kubernetes...

Experience

Availability

Part-time

Preferred Environment

MacOS, Linux, Visual Studio Code (VS Code), Vim Text Editor

The most amazing...

...thing I've implemented is the E2E architecture of an internal developer platform for creating demo environments for clients and potential customers.

Work Experience

DevOps

2023 - 2023
Havit Spaces Holding GmbH
  • Developed the entire hosting platform on ECS from scratch via Terraform, resulting in an automated IaC for the client's platform.
  • Coordinated the handoff with the external agency team for the code along with its source code.
  • Helped the client set up a baseline for communications, coordination using MS Teams, and setting up the AWS organization accounts for multiple environments.
Technologies: Amazon Web Services (AWS), Cloud, Containerization, Scripting Languages, Cloud Infrastructure, Amazon Elastic Container Service (Amazon ECS), Amazon RDS, AWS ALB, APIs, JSON

DevOps Consultant

2023 - 2023
CodeComplete, Inc
  • Developed the Terraform code from scratch in Google Cloud to help the client with the Google Cloud Platform (GCP) setup of his SaaS machine learning platform.
  • Helped the client with the setup of a new project from scratch.
  • Used core GCP modules such as Google Compute Engine (GCE), load balancers, private subnets, and more to establish the project infrastructure.
Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP), Terraform, Site Reliability Engineering (SRE), Google Compute Engine (GCE), DevOps Engineer, CloudOps, Amazon EC2, Debian, Ubuntu, Cloud Engineering, Google, Bash, Cloud Architecture, Infrastructure, Scalability, Load Balancers, Orchestration, IaaS, Cloud, Containerization, Google Cloud Storage, Scripting Languages, Cloud Infrastructure, AWS ALB, APIs, JSON

DevOps Engineer

2021 - 2023
BCG
  • Implemented and enforced a Datadog monitoring solution for a SaaS product for the retail industry, enabling observability via metrics, logs, and traces and providing DevOps members better visibility on the platform.
  • Worked as part of the team that implemented Terraform for the product from scratch, as well as designed the infrastructure release process for the production environment.
  • Led the SOC 2 compliance efforts of the SaaS analytics product, resulting in a SOC 2 Type 1 certification of the platform, as well as the groundwork for the SOC 2 Type 2 certification.
Technologies: Amazon Web Services (AWS), Google Cloud, Kubernetes, Google Kubernetes Engine (GKE), Terraform, Argo CD, Datadog, Google Cloud Platform (GCP), Monitoring, CircleCI, PostgreSQL, Jenkins, Infrastructure as Code (IaC), CI/CD Pipelines, Identity & Access Management (IAM), GitHub, DevOps, AWS DevOps, SOC 2, Amazon EKS, Amazon RDS, AWS NAT Gateway, Prometheus, Amazon EventBridge, Amazon CloudWatch, Site Reliability Engineering (SRE), Google Compute Engine (GCE), Software Architecture, Containers, Kubernetes Operations (kOps), Amazon S3 (AWS S3), DevOps Engineer, CloudOps, Continuous Integration (CI), Amazon EC2, Continuous Delivery (CD), Debian, Ubuntu, Container Orchestration, Threat Modeling, Security Architecture, Vulnerability Assessment, Secure Containers, Cloud Security, Cybersecurity, Docker Compose, GitHub Actions, Cloud Engineering, Security, Google, Bash, Amazon EBS, Cloud Architecture, Infrastructure, Scalability, Load Balancers, Orchestration, IaaS, Application Security, Web Security, Cloud, Containerization, Google Cloud Storage, Scripting Languages, Redis, Cloud Infrastructure, AWS ALB, AWS CloudTrail

DevOps Consultant

2019 - 2021
Self-employed
  • Implemented a SaaS platform used to create EC2 and Oracle Cloud instances, acting as a content delivery network (CDN) endpoint for a large media house. It reduced endpoint spin-up time to five minutes and was used in the 2020 US general elections.
  • Developed end-to-end infrastructure as code using Terraform and Azure DevOps to launch a SaaS product in AWS Cloud.
  • Carried out AWS CI/CD pipelines (CodePipeline and GitHub) and solution architecture for a SaaS platform in the medical industry.
Technologies: Kubernetes, Google Kubernetes Engine (GKE), Terraform, Docker, Helm, Python, Shell Scripting, Datadog, DevSecOps, Amazon EC2, Oracle Cloud, DevOps, Monitoring, Azure DevOps, CircleCI, Jenkins, Azure, Infrastructure as Code (IaC), CI/CD Pipelines, Identity & Access Management (IAM), GitHub, Amazon Elastic Container Service (Amazon ECS), AWS DevOps, Amazon EKS, AWS Lambda, AWS CodeBuild, Amazon RDS, AWS NAT Gateway, Amazon DynamoDB, Amazon Simple Queue Service (SQS), Prometheus, Amazon Simple Notification Service (Amazon SNS), Amazon EventBridge, ELK (Elastic Stack), Amazon CloudWatch, Site Reliability Engineering (SRE), Grafana, SonarQube, Amazon Cognito, Software Architecture, AWS Cloud Architecture, Containers, Kubernetes Operations (kOps), NGINX, AWS Fargate, Amazon S3 (AWS S3), Amazon CloudFront CDN, Amazon Route 53, DevOps Engineer, CloudOps, Packer, Continuous Integration (CI), Continuous Delivery (CD), Zabbix, Debian, PHP 7, Ubuntu, Container Orchestration, Threat Modeling, Security Architecture, Vulnerability Assessment, Secure Containers, Cloud Security, Cybersecurity, Docker Compose, GitHub Actions, Cloud Migration, Amazon API, Cloud Engineering, Security, Google, Bash, Amazon EBS, AWS Elastic Beanstalk, Cloud Architecture, Infrastructure, Scalability, Load Balancers, Orchestration, IaaS, PHP, Amazon Lightsail, GitLab CI/CD, Heroku, Elasticsearch, Application Security, Cloud, Containerization, Google Cloud Storage, Ansible, Scripting Languages, DigitalOcean, Redis, Cloud Infrastructure, AWS ALB, AWS CloudTrail, APIs, JSON

Site Reliability Engineer

2017 - 2019
Crest Data Systems
  • Developed scripts for the rest of the team members, reducing the toil within the team and enabling smoother maintenance windows for tasks.
  • Handled Python-based scripts, allowing the rest of the SREs to perform smooth and process-oriented Splunk app installations in customer environments and enabling accountability for tickets and widespread adoption in the team.
  • Migrated Splunk cloud environments to newer Terraform and Puppet-based automation solutions from the legacy CloudFormation and Ansible-based customer stacks.
Technologies: Splunk, Terraform, GitLab, Puppet, Ansible, Amazon Web Services (AWS), DevOps, Jenkins, GitHub, Site Reliability Engineering (SRE), AWS Fargate, Amazon CloudFront CDN, Amazon Route 53, DevOps Engineer, CloudOps, Amazon EC2, Debian, Ubuntu, Amazon API, Cloud Engineering, Bash, Amazon S3 (AWS S3), Amazon EBS, Cloud Architecture, Infrastructure, Scalability, Load Balancers, Orchestration, IaaS, Cloud, Scripting Languages, Cloud Infrastructure, AWS ALB, AWS CloudTrail

Internal Platform for Automated CDN Creation

https://www.liveu.tv
An AWS serverless platform built for a large media house responsible for spinning up on-demand and scheduled CDN instances on EC2 and Oracle Cloud, improving traffic between the live camera and media house processing center.

Implemented Python and shell scripting-based automation. I also designed the platform's architecture, from choosing the back end to store the state of the instance to scheduling CDN instances and workflow calls between AWS and Oracle Cloud.

Terraform GCP Infrastructure for AWS-based Architecture

An end-to-end architecture of a machine learning SaaS-based application in Terraform for Google Cloud Platform (GCP) deployed in the AWS cloud. This application I developed enabled multicloud ability for the client to serve the customers with applications deployed in the GCP cloud.

EKS Environment Setup for a Crypto Currency Company

https://www.tegro.com
A Crypto-currency trading platform. I designed and implemented the migration of the EC2 and auto-scaling-based environment to the EKS cluster, along with writing custom Helm charts for their applications. I implemented the cluster and the relevant AWS resources in Terraform along with Helm charts for components such as Cert Manager, NGINX Ingress Controller, Elastic Stack cluster (EFK), and Kubernetes Prometheus stack for metrics-based monitoring within the EKS cluster.

I also implemented access control to the internal applications via CloudFlare access and Zero Trust access.

Terraform and Packer Infrastructure Automation for a SaaS Company

A Node.js-based application for booking Zoom classes. I was the lead infrastructure engineer to develop the automation for creating the infrastructure for the application on AWS EC2 instances, Auto Scaling group, and Application Load Balancer using Terraform and Packer. I also developed a CI/CD pipeline using GitHub Actions for deploying the application using AWS CodeDeploy.

E2E Infrastructure and CI/CD Pipelines for a Medical Product

https://www.travalab.com
A Ruby on Rails (RoR) product with an integrated front end. I was the lead DevOps for this product, which enabled the business to provide mobile phlebotomy services for B2B and B2C customers. I developed the CodePipeline and CodeBuild for their CI and CD operations and Packer and Terraform infrastructure for their machine images and their platform on AWS Cloud.

EKS Environment Setup for an AI Contract Product

https://www.cognizer.ai
An AI contract product that performed analysis on contracts and provided intelligence basis on the same. The application was hosted on AWS, and the client was looking to have the same for Google Cloud. Created the Terraform code for deploying the application via GKE and used the relevant services within GCP for the corollaries for AWS. I made Helm charts for their applications and deployed Helm charts for the EFK stack, Kube-prometheus stack, cert-manager, NGINX ingress controller, etc.
2014 - 2018

Bachelor's Degree in Computer Engineering

Dharmsinh Desai University - Nadiad, Gujarat, India

MARCH 2022 - MARCH 2025

Certified Kubernetes Administrator (CKA)

Cloud Native Computing Foundation | via The Linux Foundation

OCTOBER 2021 - OCTOBER 2024

AWS Certified Solutions Architect Professional

Amazon Web Services

JUNE 2021 - JUNE 2024

Certified Kubernetes Application Developer (CKAD)

Cloud Native Computing Foundation | via The Linux Foundation

JULY 2020 - JULY 2023

GCP Associate Cloud Engineer

Google

JULY 2020 - JULY 2023

AWS Certified DevOps Engineer Professional

Amazon Web Services

SEPTEMBER 2019 - JULY 2023

AWS Certified Developer Associate

Amazon Web Services

Languages

Python, Bash, Bash Script, PHP 7, PHP

Tools

Terraform, Ansible, Jenkins, Amazon Elastic Container Service (Amazon ECS), CloudOps, Amazon EBS, AWS CloudTrail, Google Kubernetes Engine (GKE), CircleCI, GitHub, Amazon EKS, Amazon Simple Queue Service (SQS), Google Compute Engine (GCE), Packer, AWS Fargate, Amazon CloudFront CDN, Zabbix, Docker Compose, Helm, Splunk, GitLab, Puppet, AWS CodeBuild, Amazon Simple Notification Service (Amazon SNS), ELK (Elastic Stack), Amazon CloudWatch, Grafana, SonarQube, Amazon Cognito, Vim Text Editor, NGINX, AWS CodeDeploy, EFK Stack, GitLab CI/CD

Paradigms

DevSecOps, DevOps, Continuous Integration (CI), Continuous Delivery (CD), Azure DevOps

Platforms

Linux, Kubernetes, Docker, Amazon Web Services (AWS), Amazon EC2, Azure, Google Cloud Platform (GCP), AWS Lambda, Heroku, AWS ALB, MacOS, Visual Studio Code (VS Code), Debian, Ubuntu, AWS Elastic Beanstalk, Amazon Lightsail, DigitalOcean

Storage

Amazon S3 (AWS S3), Google Cloud Storage, Google Cloud, PostgreSQL, Amazon DynamoDB, Elasticsearch, JSON, Datadog, Oracle Cloud, Redis

Other

Cloud, CI/CD Pipelines, AWS DevOps, Amazon RDS, Site Reliability Engineering (SRE), AWS Cloud Architecture, DevOps Engineer, Container Orchestration, GitHub Actions, AWS Certified Solution Architect, Cloud Engineering, Infrastructure, Scalability, Load Balancers, Orchestration, IaaS, Containerization, Cloud Infrastructure, Shell Scripting, Monitoring, Infrastructure as Code (IaC), Identity & Access Management (IAM), SOC 2, Prometheus, Amazon EventBridge, Software Architecture, Containers, Kubernetes Operations (kOps), Amazon Route 53, Threat Modeling, Security Architecture, Vulnerability Assessment, Secure Containers, Cloud Security, Cloud Migration, Security, Google, AWS Certified DevOps Engineer, Cloud Architecture, Application Security, Scripting Languages, APIs, Computer Science, Argo CD, AWS NAT Gateway, Autoscaling Groups, AWS CodePipeline, Cloudflare, Web Security

Libraries/APIs

Amazon API, Node.js

Industry Expertise

Cybersecurity

Frameworks

Ruby on Rails (RoR)

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