Mar 2025 – Sep 2025 · 6 mos · Hybrid

Nov 2022 – Mar 2025 · 2 yrs 4 mos · Hybrid

Apr 2021 – Nov 2022 · 1 yr 7 mos

• As a Lead DevOps engineer here, I worked on multiple projects including a Crypto trading platform and a Fintech Security platform. Where my work involved:
• ✅ Handling an internal team of 10 people across different geographies mentored their progress and helped them to grow in their careers.
• ✅ Creating IAC using Terraform from scratch for a Crypto-based platform hosting application in AWS.
• ✅ Importing existing infrastructure in terraform code for Dev environment.
• ✅ Creating CI/CD pipeline using AWS Code deploy to deploy the application on ECS.
• ✅ Setting up alerting and monitoring using CloudWatch events and logs.
• ✅ Handling clients properly and delivering projects on time with excellent solutions, which resulted in more work from the customer.
• ✅ Engaging with the client and handling the entire project on my own delivering application and infrastructure.
• ✅ Extending my capabilities and filling in the role of project manager for 8 months along with DevOps work.
• ✅ Handling and coordinating teams of developers and DevOps to ensure timely delivery of the project's milestones.
• ✅ Using my experience in CICD to streamline the CICD process to improve the delivery time of the product.
• ✅ Learning Azure cloud quickly and handling entire infra hosted on Azure and AKS.
• ✅ Writing automation test suite in Python to test the features of the application.
• ✅ Writing multiple automation in Python to clean unused AWS accounts.
• ✅ Setting up Hashicorp vault running in AKS cluster and allowing the application to read secrets directly from the vault.

Jan 2020 – Mar 2021 · 1 yr 2 mos

• As a Senior DevOps engineer here, I worked on multiple projects including E-commerce and Fintech applications. These systems were very critical as peak load ranged between 100 to 2 million requests per second. Where my work involved:
• ✅ Having calls with the client and creating the strategy for migrating onprem applications to the GCP cloud.
• ✅ Writing complex automation to discover details for legacy applications running on VM and putting details in Bigquery.
• ✅ Creating templates for documenting the process, like a pre-migration checklist, loadtest document, cutover runbook, and post-migration handover.
• ✅ Writing automation using Ansible to set up replication for Redis, Postgres, and Cassandra clusters.
• ✅ Handling migration of Fintech applications and setting up everything from scratch.
• ✅ Creating CI/CD pipeline using Jenkins to deploy applications on GCE instances using managed and unmanaged instance groups.
• ✅ Creating monitoring dashboards using Datadog.
• ✅ Migrating and replicating Kafka hosted on on-prem to Confluent Kafka with live replication.
• ✅ Handling team of 4-7 people to carry out the process of Cloud migration smoothly.

Jan 2019 – Dec 2019 · 11 mos

• As a DevOps engineer here, I worked on multiple projects including Ecommerce applications and matrimonial websites. These systems were very critical as peak load ranged between 100 to 1 million requests per second. Where my work involved:
• ✅ Architecting a small project on AWS using talend for ETL application. Implemented solution using scheduled EC2 instance, which was pulling data from S3 bucket and tranforming it and putting the data in RDS instance.
• ✅ Completing entire ETL project from disocvery call with client till the delivery of the project single handely.
• ✅ Migrating On-Prem applications to Google Cloud. We followed the list and shift approach with the minimum modernization required to run the application on GCP.
• ✅ Writing multiple automation scripts using Python and Ansible so that applications can be migrated to the cloud quickly and properly.
• ✅ Bringing down human error during migration by automating multiple tasks where chances of human error were high and frequent.
• ✅ Refactoring docker files for applications to reduce build time and image size.
• ✅ Implementing security practices in GKE cluster and giving proper access to different team members.
• ✅ Sitting with the development team and finding issues in the application related to performance and migration to the cloud.
• ✅ Having on-call shifts in rotation for debugging application downtime and general issues in production.
• ✅ Designing and implementing IAC for GCP and AWS using Terraform, Terragrunt, CloudFormation, ansible, shell scripting, and Python.
• ✅ Designing and implementing CI/CD pipelines using Gitlab CI to deploy applications onto GKE and ECS. Deployment frequency was high ranging from 50 to 200 deployments per day.
• ✅ Working with the team to implement logging and monitoring using Datadog, Prometheus, and Grafana.
• ✅ Writing loadtest scripts in Python using the locust tool. Performed loadtest for applications with requests ranging between 100 per second to 100K requests per second.

Jun 2017 – Dec 2018 · 1 yr 6 mos · On-site

• As a DevOps engineer in this organization, I worked on multiple projects where I implemented IAC, and CI/CD pipelines using Jenkins to deploy applications in AWS Beanstalk and handled the DevOps lifecycle of the products. This involved:
• ✅ Implementing IAC with Terraform, ansible, shell scripting, and Python.
• ✅ Implementing CI/CD pipelines using Jenkins to deploy applications in AWS Beanstalk.
• ✅ Implementing Logging and Monitoring using AWS CloudWatch, ELK stack.
• ✅ Creating a backend service using Python to create AWS infrastructure using boto3.
• ✅ Implementing automated backup of RDS and copying those in separate regions and AWS accounts.
• ✅ Saving Infrastructure costs by automatically stopping bastion hosts and other non-critical machines in non-working hours and provisioning deployment agents at runtime for all non-dev environments.
• ✅ Complete responsibility for application deployment, uptime, logging, monitoring, and alerting.
• ✅ Creating docker files for applications running on Beanstalk to migrate those to Kubernetes (EKS).
• ✅ Having oncall shifts in rotation for debuging application downtime and general issues in production.

Dec 2016 – May 2017 · 5 mos · On-site

• Started my career here as a trainee. Learned multiple tools and technologies: AWS, Jenkins, Bash, and Python scripting.