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Jay S. - Fullstack Developer, Azure DevOps, Python

Working at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.

Main technologies

  • Fullstack Developer

    2 years

  • Terraform

    1 Year

  • Jenkins

    1 Year

  • Docker

    1 Year

Additional skills

  • Terraform
  • Jenkins
  • Docker
  • CI/CD
  • Amazon Web Services
  • Kubernetes
  • node.js
  • Amazon EC2
  • DevOps
  • GitHub
  • Cloud Architecture
  • Bitbucket
  • Google Cloud Platform Administration
  • Azure DevOps
  • Python

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Potentially possible

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Experience Highlights

Kubernetes Deployment with Monitoring and Terraform Automation

Successfully managed the deployment of multiple applications on Kubernetes clusters while implementing infrastructure automation with Terraform and robust monitoring systems. This project demonstrated expertise in container orchestration, infrastructure as code, and real-time monitoring to ensure application scalability, reliability, and maintainability.

POC dockerization of vulnerability scanner tools for container images

POC dockerization of vulnerability scanner tools for container images and API for output in json (SBOM) 1) Dockerfile for both scanner tools grype and trivy to get the latest version of grype and trivy. 2) The bash script will build and push Docker images using the Grype/trivy scanner. 3) entrypoint.sh to get the Docker CLI version, Take the image to scan from command-line arguments, Get Docker image layer information and Print the output to stdout in addition to writing to the file 4) And API in GO and Node.js to get the output

Github CI/CD for AWS ECS

1) Build and push Docker image to AWS ECR 2) Get latest image tag from ECR 3) Update task definition with latest image tag and environment variables 4) Update ECS service

Terraform AWS ECS Infrastructure

Terraform scripts for provisioning a fully functional AWS ECS infrastructure, including an ECS cluster, service, and task definition, RDS, Redis, security group, subnets and route tables.

CI/CD Pipeline using Jenkins on a Kubernetes Cluster

To Build an end to end CI/CD Pipeline using Jenkins on a Kubernetes Cluster. i build the infrastructure for a CI/CD pipeline in a Kubernetes environment. A successful merge to the master branch in a GitHub project will trigger a Jenkins pipeline, which can build, test and deploy an updated project into our environment.

Education

  • Devi Ahilya University

    Bachelor of Technology (BTech) in

    2017-01-01-2020-01-01

Languages

  • English
  • Hindi

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