Aseef Ahmed, Developer in Wellington, New Zealand
Aseef is available for hire
Hire Aseef

Aseef Ahmed

Verified Expert  in Engineering

Software Developer

Location
Wellington, New Zealand
Toptal Member Since
February 5, 2021

Aseef is a Red Hat and AWS certified engineer with more than nine years of IT experience and four years specifically dealing with cloud service providers like AWS and GCP. He specializes in DevOps implementation, build and release engineering, and Linux administration.

Portfolio

VScan LLC
Amazon Web Services (AWS), DevOps, Amazon WorkSpaces, Continuous Delivery (CD)...
Intelligence Anesthesia
Amazon Web Services (AWS), Kubernetes, Amazon EKS, DevOps, GitLab, Python...
Bookis
Amazon Web Services (AWS), DevOps, AWS Certified Solution Architect, Containers...

Experience

Availability

Part-time

Preferred Environment

Linux, Azure, Google Cloud Platform (GCP), Visual Studio Code (VS Code), Python, Kubernetes, Amazon Web Services (AWS), CI/CD Pipelines, Serverless Architecture, Terraform

The most amazing...

...experience has been working extensively with the major cloud vendors like AWS, GCP, and Azure.

Work Experience

AWS DevOps Engineer

2023 - 2023
VScan LLC
  • Configured Amazon workspace according to client's requirements.
  • Followed AWS best practices while developing remote desktops in AWS.
  • Delivered the project on time by meeting the client's deadline.
Technologies: Amazon Web Services (AWS), DevOps, Amazon WorkSpaces, Continuous Delivery (CD), Continuous Integration (CI)

AWS DevOps Engineer

2022 - 2022
Intelligence Anesthesia
  • Implemented a secure infrastructure for a healthcare software company's EKS-based application within AWS using Terraform.
  • Built CI/CD pipeline in GitLab to deploy their workloads in the EKS cluster.
  • Implemented VPN client so that developers can securely access their private EKS cluster.
  • Implemented AWS SSO to control a more granular level of access to the environment.
Technologies: Amazon Web Services (AWS), Kubernetes, Amazon EKS, DevOps, GitLab, Python, Bash Script, Linux, Terraform, Git, AWS Certified Solution Architect, Containers, System Administration, YAML, Pipelines, Technical Hiring, Source Code Review, Task Analysis, IT Security, APIs, Team Management, DevSecOps, Cloud, Continuous Delivery (CD), Continuous Integration (CI), GitLab CI/CD

DevOps Engineer

2021 - 2021
Bookis
  • Helped the team to migrate their applications from one region to another.
  • Implemented a better observability tool for their applications.
  • Secured their AWS infrastructure on all applications.
Technologies: Amazon Web Services (AWS), DevOps, AWS Certified Solution Architect, Containers, System Administration, Ubuntu, YAML, Pipelines, Source Code Review, Task Analysis, IT Security, APIs, Team Management, DevSecOps, Cloud, Amazon EKS, Kubernetes, Continuous Delivery (CD), Continuous Integration (CI), GitLab CI/CD

Cloud Engineer

2019 - 2021
Ministry of Social Development
  • Built and deployed a serverless web application in AWS.
  • Automated the software delivery lifecycle using the CI/CD pipeline in AWS.
  • Created a build server for continuous integration (CI) on the Google Cloud Platform (GCP).
  • Deployed a Kubernetes application in the Google Kubernetes Engine.
  • Implemented CI/CD pipelines with Azure DevOps.
  • Performed data analysis and visualization with various Python libraries.
  • Automated infrastructure deployments in the cloud with Terraform and Azure pipelines.
Technologies: Google Cloud Platform (GCP), Azure, Linux, DevOps, Python, Data Science, Kubernetes, Git, Jenkins, Azure DevOps, Docker, Monitoring, ELK (Elastic Stack), Prometheus, Splunk, Amazon Web Services (AWS), CI/CD Pipelines, Serverless Architecture, Terraform, AWS CloudFormation, Serverless, Bash Script, Azure Kubernetes Service (AKS), Containerization, AWS DevOps, Boto 3, Bash, Cloud Security, AWS Certified Solution Architect, Containers, System Administration, Ubuntu, IT Networking, YAML, Pipelines, Technical Hiring, Task Analysis, Interviewing, APIs, Team Management, DevSecOps, Amazon EKS, Continuous Integration (CI)

DevOps Content Creator

2019 - 2019
Packt Publishing
  • Developed video content that brings deep technical expertise to a mass audience.
  • Trained DevOps engineers on different technologies such as Docker, Kubernetes, AWS, GCP, Linux, Ansible, Python, Shell Scripting, and Jenkins CI/CD.
  • Deployed a Kubernetes application in Google Kubernetes Engine.
Technologies: DevOps, Linux, Google Cloud Platform (GCP), Kubernetes, Docker, Amazon Web Services (AWS), CI/CD Pipelines, Serverless Architecture, Terraform, AWS CloudFormation, Serverless, Python, Bash Script, ELK (Elastic Stack), Azure Kubernetes Service (AKS), Containerization, AWS DevOps, Cloud Architecture, AWS Certified Solution Architect, Task Analysis, APIs, Amazon EKS

Chief Cloud Architect

2018 - 2019
An Online Freelance Agency
  • Deployed applications, monitored operations of multiple projects, and maintained enterprise solutions to ensure that they met target performance metrics.
  • Implemented continuous delivery pipelines with Spinnaker and Google Kubernetes Engine (GKE).
  • Deployed an eCommerce application with Amazon RDS, CloudFront, Cloud Formation, and EC2 in AWS.
Technologies: Python, Site Reliability Engineering (SRE), Kubernetes, Amazon Web Services (AWS), CI/CD Pipelines, Serverless Architecture, Datadog, DevOps, Serverless, Bash Script, Ansible, Terraform, ELK (Elastic Stack), Containerization, AWS DevOps, Amazon EKS

Senior Software Engineer

2015 - 2018
Nexus IT Consultants
  • Developed projects using MVC framework, AngularJS, and Bootstrap.
  • Developed projects with HTML5, XML and CSS, AJAX, JSON, JavaScript, jQuery and other JavaScript Frameworks.
  • Wrote complex SQL queries, stored procedures, and SQL functions.
Technologies: PHP 7, Laravel, JavaScript, MySQL, Amazon Web Services (AWS), DevOps, Bash Script, Ansible, ELK (Elastic Stack), Containerization, Data Structures

Senior DevOps Engineer

2015 - 2018
Fair Pattern
  • Created automation and deployment templates for relational and NoSQL databases (standalone and RDS), including MSSQL, MySQL, MongoDB, Redis, and Node.js.
  • Provisioned cloud infrastructure in AWS with Ansible.
  • Built an event-driven log analytics solution in AWS.
Technologies: PHP 7, Laravel, Python, Linux, Git, Amazon Web Services (AWS), ELK (Elastic Stack)

PHP Developer

2008 - 2009
BJIT
  • Designed and developed responsive web applications using PHP and Bootstrap for photography studio management, online social savings network, and product management.
  • Created a content management system (CMS) that serves as an interface for clients.
  • Deployed and supported the application code across various system servers.
Technologies: PHP 7, Laravel, JavaScript, CSS3, Linux

Web Developer

2007 - 2008
Evoknow Inc
  • Worked with a team to design and develop an interactive social studies website for elementary students, using Dreamweaver, CSS, Flash, HTML, JavaScript, and Photoshop.
  • Tasked with overall web project management from development to execution and maintenance.
  • Evaluated code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems.
Technologies: PHP 7, Linux, CSS3, JavaScript

Deployment of a Three-tier Architecture on AWS

I have designed a scalable and secure continuous delivery architecture for a full-stack web application.

• The architecture is broken down into the relevant tiers (application, database, etc.).
• The architecture was provisioned via AWS CloudFormation.
• The deployment of new code and execution of tests was completely automated.
• The database and any mutable storage were backed up at least daily.
• All relevant logs for all tiers need to be easily accessible from a logging solution like Dynatrace.
• Implemented monitoring and logging using self-provisioned tools.
• The system can capture relevant historical metrics to spot and debug bottlenecks.

Deployment of a Kubernetes Application in Amazon EKS

Launched a Python web application environment using Google Cloud Platform (GCP) app service. The app service provisions and manages the underlying infrastructure, such as GCP instances, and stack components, such as operating system, web server, and language/framework.

I deployed the web application using Google App Engine.

Built and Deployed a Serverless Web Application into AWS

• Hosted the front-end application into S3 Bucket.
• Managed and authenticated the users through Amazon Cognito.
• Built the serverless back end with Lambda, NoSQL, and Python.
• Built and deployed RESTful APIs with API Gateway.

Automating Cloud Infrastructure with Ansible

Used Ansible/chef to automate cloud infrastructure such as virtual machines, load balancer, storage, etc., in AWS/GCP.

Automated configuration management such as installing software packages, updating patches and configurations, etc., within the virtual machines.

Build a Log Analytics Solution in AWS

Set up a Kinesis Agent on data sources to collect data and send it continuously to Amazon Kinesis Firehose.

Created an end-to-end data delivery stream using Kinesis Firehose. The delivery stream transmitted the data from the agent to destinations, including Amazon Kinesis Analytics, Amazon Redshift, Amazon Elasticsearch Service, and Amazon S3.

Processed incoming log data using SQL queries in Amazon Kinesis Analytics.

Loaded the processed data from Kinesis Analytics to Amazon Elasticsearch Service to index the data.

Analyzed and visualized the processed data using Kibana.

Data Analysis and Visualization with Various Python Libraries

Performed data analysis, cleaning, transformation with Pandas Library, and data visualization with Matplotlib and Tableau.

Implemented data ingestion pipeline using various AWS services like Lambda Function, Simple Storage Service (S3), Step Functions, etc.

Implemented Configuration Management Using Terraform

Provisioned infrastructures in the following manner:
• Deployed three-tier web applications in Azure with Terraform.
• Deployed Terraform infrastructure using Azure DevOps.
• Deployed Terraform infrastructure in Azure using Jenkins.

Implemented CI/CD Pipeline for Microservice Application on Azure Kubernetes Cluster

• Configured build and release pipeline within Azure DevOps.
• Built infrastructure and deploying applications with Azure Pipelines.
• Monitored Kubernetes clusters using Prometheus and Grafana.
• Provisioned the infrastructure using Terraform.

Designed Infrastructure for Deploying Three-Tier Application in Multiple Azure Region

• Implemented Azure Traffic Manager to minimize the application latency.
• Made sure Azure resources are highly available and fault-tolerant using various Azure offerings.
• Optimized cost while managing the resources with Azure.

Implemented CI/CD Pipelines for Deploying Azure Web Apps

• Deployed the Azure infrastructure using Terraform and Azure Pipeline.
• Used multiple deployment slots for development, staging, and production environment.
• Monitored the health check of the web application via Azure Log Analytics.
• Designed the infrastructure for deploying a three-tier application in multiple Azure R.

Automated Infrastructure Deployments in the Cloud with Ansible and Azure Pipelines

• Created Azure service principal.
• Configured and defined Ansible on Linux VM.
• Created Azure connections on Azure DevOps.
• Monitored different metrics via Azure native solution and other third-party log monitoring solutions like DataDog.

Automating Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines

• Developed Terraform code for the infrastructure.
• Built the application using Azure Pipeline.
• Deployed Azure resources using Terraform (IaC) in an Azure CD pipeline.
• Automated infrastructure deployments in the cloud with Ansible and Azure Pi.

Implemented Configuration Management Using Terraform

• Deployed a three-tier web application in Azure with Terraform.
• Deployed Terraform infrastructure using Azure DevOps.
• Deployed Terraform infrastructure in Azure using Jenkins.
• Optimized cost while managing the infrastructure.

Implemented CI/CD Pipeline in Deploying Kubernetes Based Application in GKE

With Kubernetes becoming the de facto standard for container orchestration, I build, test, and deploy code quickly to the Kubernetes cluster in GCP. Traditional continuous integration and continuous delivery (CI/CD) tools were not designed for cloud-native environments often fall short as developers spend many hours looking for best practices to automate deployments, scaling pipelines, and worrying about other implementation details.
2010 - 2011

Master's Degree in Management

University of Wales - London, UK

2001 - 2005

Bachelor's Degree in Computer Science

Jahangirnagar University (Bangladesh) - Bangladesh

DECEMBER 2021 - DECEMBER 2024

AWS Certified Solutions Architect Professional

AWS

DECEMBER 2021 - DECEMBER 2024

AWS Certified Database Specialty

AWS

DECEMBER 2021 - DECEMBER 2024

AWS Certified Data Analytics Specialty

AWS

MAY 2021 - MAY 2024

AWS Certified DevOps Engineer Professional

AWS

MAY 2021 - MAY 2024

AWS Certified Developer Associate

AWS

APRIL 2021 - APRIL 2024

AWS Certified Security - Specialty

AWS

MARCH 2021 - MARCH 2023

Professional Cloud Developer

Google Cloud Platform (GCP)

MARCH 2021 - MARCH 2023

Professional Cloud Developer

Google

JANUARY 2021 - JANUARY 2023

Associate Cloud Engineer

Google Cloud Platform (GCP)

DECEMBER 2020 - DECEMBER 2023

CKA: Certified Kubernetes Administrator

The Linux Foundation

DECEMBER 2020 - DECEMBER 2023

CKAD: Certified Kubernetes Application Developer

Linux Foundation

DECEMBER 2020 - DECEMBER 2022

Microsoft Certified: DevOps Engineer Expert

Microsoft

DECEMBER 2020 - DECEMBER 2023

AWS Certified Solutions Architect

Amazon Web Services (AWS)

NOVEMBER 2020 - NOVEMBER 2022

Microsoft Azure Solutions Architect Expert

Microsoft

OCTOBER 2020 - OCTOBER 2022

Microsoft Certified: Azure Security Engineer Associate

Microsoft

SEPTEMBER 2020 - SEPTEMBER 2022

HashiCorp Certified: Terraform Associate

Hashicorp

SEPTEMBER 2020 - SEPTEMBER 2022

Microsoft Certified: Azure Data Scientist Associate

Microsoft

SEPTEMBER 2020 - SEPTEMBER 2022

Microsoft Azure Developer Associate

Microsoft

SEPTEMBER 2020 - SEPTEMBER 2022

Microsoft Certified: Azure AI Engineer Associate

Microsoft

JULY 2020 - PRESENT

Microsoft Certified: Azure Fundamentals

Microsoft

JULY 2020 - PRESENT

Microsoft Certified: Azure Data Fundamentals

Microsoft

JULY 2020 - PRESENT

Microsoft Certified: Azure AI Fundamentals

Microsoft

JUNE 2020 - JUNE 2023

AWS Certified Alexa Skill Builder

AWS

FEBRUARY 2020 - FEBRUARY 2023

AWS Certified Cloud Practitioner

AWS

SEPTEMBER 2019 - SEPTEMBER 2022

Red Hat Certified Specialist in Ansible Automation

Red Hat

AUGUST 2019 - AUGUST 2022

EX280 Red Hat Certified Specialist in OpenShift Administration

Red Hat

MAY 2019 - MAY 2022

Red Hat Certified Specialist in Virtualization

Red Hat

APRIL 2019 - MAY 2024

AWS Certified SysOps Administrator Associate

AWS

DECEMBER 2018 - SEPTEMBER 2022

Red Hat Certified System Administrator

Red Hat

FEBRUARY 2017 - FEBRUARY 2022

Red Hat Certified Engineer (RHCE)

Red Hat

Libraries/APIs

REST APIs, Flask-RESTful, Jenkins Pipeline, Google Apps, Amazon EC2 API, Node.js

Tools

Terraform, Git, Jenkins, ELK (Elastic Stack), Splunk, Ansible, AWS CloudFormation, Azure Kubernetes Service (AKS), Amazon Elastic Container Service (Amazon ECS), Amazon EBS, CircleCI, Tableau, Boto 3, Helm, HashiCorp, Amazon EKS, Jira, Apache, VPN, AWS IAM, Amazon CloudWatch, Bitbucket, Google Compute Engine (GCE), AWS Fargate, NGINX, Grafana, Amazon Cognito, GitLab CI/CD, GitHub, Google Kubernetes Engine (GKE), AWS Cloud Development Kit (CDK), Amazon Virtual Private Cloud (VPC), GitLab, Kustomize, Amazon WorkSpaces

Paradigms

DevOps, Management, Data Science, Azure DevOps, Serverless Architecture, Agile, Continuous Delivery (CD), Continuous Integration (CI), DevSecOps, Event-driven Programming, Automation

Storage

MySQL, Amazon S3 (AWS S3), Datadog, Amazon DynamoDB, Redshift, Google Cloud SQL, Databases, Elasticsearch, Google Cloud

Platforms

Linux, Azure, Docker, Amazon Web Services (AWS), Visual Studio Code (VS Code), Amazon Alexa, Amazon EC2, AWS Elastic Beanstalk, Ubuntu, Windows, Google App Engine, CentOS, Google Cloud Platform (GCP), Kubernetes, AWS Lambda

Languages

Python, Bash Script, SQL, Bash, TypeScript, PHP 7, JavaScript, CSS3, GraphQL, YAML

Frameworks

Django, Laravel

Other

Cloud Computing, AWS DevOps, Linux Server Administration, Cloud Security, Amazon RDS, Amazon EventBridge, AWS Certified DevOps Engineer, Software Engineering, CI/CD Pipelines, Site Reliability Engineering (SRE), Monitoring, Prometheus, Amazon API Gateway, IT Security, Containerization, Load Balancers, Data Warehousing, Data Warehouse Design, Amazon Kinesis, Consulting, Mentorship, Technical Writing, Cloud Platforms, Infrastructure as Code (IaC), Back-end, Cloud Migration, Strategy, Google BigQuery, System Administration, Elastic Load Balancers, Architecture, Networking, Subnet, Cloud Architecture, AWS VPN, ServiceNow, Data Structures, Containers, IT Networking, Networks, APIs, IT Support, SDKs, Technical Hiring, Source Code Review, Task Analysis, Interviewing, Team Management, Cloud, AWS Cloud Architecture, Microsoft Azure Cloud Server, Identity & Access Management (IAM), Cloud Services, Shell Scripting, Lambda Functions, Amazon Cognito User Pools, Operating Systems, Security, Solution Architecture, Serverless, AWS Certified Solution Architect, Pipelines, Argo CD, Scripting

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring