Ajit is available for hire

Ajit Rajdeosingh

Verified Expert in Engineering

DevOps Developer

Location

Luxembourg City, Luxembourg

Toptal Member Since

January 5, 2022

Ajit has over 13 years of experience in the IT industry with expertise in cloud architecture, DevOps, system testing, and designing and building large-scale enterprise and service provider IP/MPLS networks. He has in-depth knowledge of building and operating complex IT systems with distributed architecture. His roles have included network security architect, network architect, software developer, and solutions architect.

System Administration Cisco Scalability Firewalls Amazon RDS Cloud AWS DevOps Infrastructure as Code (IaC)Docker Bash Amazon CloudWatch Amazon CloudFront CDN Continuous Delivery (CD)Continuous Deployment Amazon EKS Cisco Network Devices Firewall AWS Amplify

Portfolio

Amazon Web Services (AWS)

Python 3, Amazon Web Services (AWS), Cisco, Cloud, Amazon Machine Learning...

Cryptosat, Inc.

Amazon Web Services (AWS), Amazon EC2, Amazon S3 (AWS S3), Python...

Food Interactive Inc

Amazon Web Services (AWS), AWS Amplify, Amazon Cognito, Pinpoint, Elasticsearch...

Experience

Architecture - 7 years Cloud - 7 years AWS ALB - 7 years CI/CD Pipelines - 7 years API Architecture - 7 years Amazon Web Services (AWS) - 7 years Linux - 5 years Python 3 - 5 years

Availability

Part-time

Preferred Environment

Python 3, Amazon Web Services (AWS), Slack, MacOS, Linux, Cisco, AWS DevOps, API Architecture

The most amazing...

...tool I've created is a distributed configuration management system for network policy configuration reducing initial build time from three days to eight hours.

Work Experience

Senior Solutions Architect

2018 - PRESENT

Amazon Web Services (AWS)

Developed a cloud-native architecture for a large automobile manufacturer based on Kubernetes. Created application and migration workflows to migrate clients' on-premises monolith application to a microservices-based application built on AWS.
Built an end-to-end data pipeline for geospatial data leveraging that managed services such as Amazon Glue, Lambda, Kinesis, and S3. The data pipeline allowed ingestion of data from 0-5TB per day using a purely pay-as-go model.
Delivered several cost optimization sessions and built a cost optimization center of excellence for four medium-sized companies resulting in cloud cost savings of up to 30% on average.

Technologies: Python 3, Amazon Web Services (AWS), Cisco, Cloud, Amazon Machine Learning, Analytics, DevOps, Infrastructure as Code (IaC), Architecture, High Availability Disaster Recovery (HADR), Continuous Development (CD), Scalability, VPN, Kong, Firewalls, Terraform, Google Cloud Platform (GCP), AWS CloudFormation, Networking, Direct Connect (DC), AWS Cloud Architecture, Amazon CloudWatch, Amazon RDS, SQL Performance, IOPS, Database Optimization, Software Architecture, Amazon Cognito, JavaScript, Amazon Machine Images (AMI), Node.js, Load Balancers, GitHub Actions, Amazon MSK, Amazon Simple Email Service (SES), GitHub, Amazon AppStream, Amazon WorkSpaces, AWS IoT, Docker, AWS Fargate, PostgreSQL, Amazon CloudFront CDN, CI/CD Pipelines, AWS DevOps, API Architecture, Splunk, Amazon SageMaker, Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment, Amazon EKS, Service Mesh, Vault, Policy as code (PaC), Bash, System Administration, Amazon SDB, Database Management, Security

Lead Cloud Engineer

2022 - 2023

Cryptosat, Inc.

Architected the entire back end natively on AWS using serverless architecture required to send commands to and receive responses from the cryptographic satellites.
Built infrastructure as code (IaC) and application development pipelines using GitHub and GitHub Actions.
Oversaw the launch of tweets from space that involved signing tweets using cryptographic keys generated on satellites.
Implemented the Velas blockchain integration to ensure immutability in storing cryptographic keys.

Technologies: Amazon Web Services (AWS), Amazon EC2, Amazon S3 (AWS S3), Python, Machine Learning, Artificial Intelligence (AI), Blockchain, AWS Lambda, Amazon Elastic Container Service (Amazon ECS), Amazon DynamoDB, AWS Step Functions, Amazon Simple Email Service (SES), Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (SQS), Amazon CloudWatch, AWS CloudFormation, Linux, Kubernetes, Microservices, AWS DevOps, API Architecture, Splunk, TypeScript, Amazon SageMaker, Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment, Amazon EKS, Service Mesh, Vault, Policy as code (PaC), Compliance as Code (CaC), Bash, Amazon EBS, System Administration, Cisco Certified Network Associate Routing & Switching, Amazon SDB, Database Management, Security

DevOps Engineer

2022 - 2022

Food Interactive Inc

Built the end-to-end infrastructure deployment pipeline using AWS Amplify.
Developed public APIs using GraphQL with AWS AppSync.
Oversaw the public launch of the web app with over 1,000 requests per minute on the APIs.

Technologies: Amazon Web Services (AWS), AWS Amplify, Amazon Cognito, Pinpoint, Elasticsearch, AWS Lambda, AWS AppSync, AWS DevOps, API Architecture, Splunk, TypeScript, Amazon SageMaker, Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment, Amazon EKS, Service Mesh, Vault, Policy as code (PaC), Compliance as Code (CaC), Bash, Amazon EBS, System Administration, Cisco Certified Network Associate Routing & Switching, Amazon SDB, Database Management, Swift, Security

Lead Network Consulting Engineer

2014 - 2017

Cisco

Designed and implemented core MPLS network for one of the largest greenfield 4G deployments in India.
Built a large-scale multicast network for one of the largest TV broadcasting companies in Portugal.
Built a virtualized network functions stack using OpenStack.

Technologies: Python 3, Cisco, DevOps, Architecture, High Availability Disaster Recovery (HADR), Scalability, VPN, Firewalls, Networking, Direct Connect (DC), Software Architecture, JavaScript, Amazon Machine Images (AMI), Node.js, Load Balancers, GitHub Actions, Bash, System Administration, Cisco Certified Network Associate Routing & Switching, Cisco Networking, Security

Experience

Data Processing Pipeline for Geospatial Data

A data pipeline that ingests data from public data sets in batch, IoT sensors, and drones in real-time. The pipeline automatically scales depending on incoming data. It processes incoming data automatically to store it in specialized data stores such as data warehouses and objects for reporting and machine learning.

Ground Segment Infrastructure for Cryptographic Satellites

https://docs.cryptosat.io/cryptosat/api-documentation

A back-end system to support end-to-end command operations to cryptography satellites. The architecture was built using a serverless architecture paradigm and supported public APIs for sending commands to the satellite for operations like storing private keys, signing messages with stored keys, signing tweets from satellites, etc. The system was responsible for managing registered users, tracking all their command operations, billing data, integrating with satellite command control systems, collecting and storing responses from the satellites, etc.

Network Configuration Management System

A RESTful API architecture to support automated network configuration of Cisco and Juniper routers to support new region builds for an enterprise. The system allowed developers to programmatically integrate network updates in their deployment pipelines using the APIs.

Skillset

Languages

Python 3, Python, Bash, JavaScript, TypeScript, SQL, Swift

Libraries/APIs

AWS Amplify, Node.js, PySpark, Flask-RESTful

Tools

Amazon Elastic Container Service (Amazon ECS), VPN, AWS CloudFormation, Amazon CloudWatch, Amazon Cognito, GitHub, Amazon AppStream, Amazon WorkSpaces, AWS Fargate, Amazon CloudFront CDN, NGINX, Splunk, Amazon SageMaker, Amazon EKS, Amazon EBS, Terraform, Amazon ElastiCache, Amazon Simple Email Service (SES), Vault, Slack, Amazon Virtual Private Cloud (VPC), Kong, AWS Step Functions, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (SQS), AWS AppSync

Paradigms

API Architecture, DevOps, Microservices, Continuous Integration (CI), Continuous Delivery (CD), Continuous Deployment, Cisco Certified Network Associate Routing & Switching, Continuous Development (CD), Serverless Architecture, Microservices Architecture

Platforms

MacOS, AWS ALB, AWS Lambda, Kubernetes, Amazon Web Services (AWS), Amazon EC2, Docker, Linux, AWS IoT, Google Cloud Platform (GCP), Blockchain

Storage

Amazon S3 (AWS S3), Amazon SDB, SQL Performance, PostgreSQL, Database Management, Amazon DynamoDB, Elasticsearch

Other

Cisco, IP Networks, Engineering, Cloud, AWS DevOps, CI/CD Pipelines, Infrastructure as Code (IaC), Architecture, High Availability Disaster Recovery (HADR), Scalability, Firewalls, Networking, Direct Connect (DC), AWS Cloud Architecture, Amazon RDS, Software Architecture, Amazon Machine Images (AMI), Load Balancers, System Administration, Cisco Networking, Software, Amazon Machine Learning, IOPS, Database Optimization, GitHub Actions, Amazon MSK, Service Mesh, Policy as code (PaC), Compliance as Code (CaC), Security, Analytics, Machine Learning, Artificial Intelligence (AI), RESTful Microservices, Pinpoint, NETCONF

Education

2004 - 2008

Bachelor's Degree in Electronics and Communication Engineering

North Maharashtra University - India

Certifications

AUGUST 2019 - JULY 2025

AWS Certified Solutions Architect Professional

AWS

MAY 2019 - MAY 2022

AWS Certified Advanced Networking Speciality

Amazon Web Services

MAY 2013 - PRESENT

Principles of Computing

Coursera

MAY 2012 - PRESENT

Cisco Certified Internetwork Expert - CCIE

Cisco

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.

Share your needs

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

Choose your talent

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

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