Raj Dhamsaniya

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 5 mos experience
Highly StableAI ML Practitioner

Key Highlights

  • Expert in cloud architecture and distributed systems.
  • Led CI/CD improvements for over 400 backend services.
  • Achieved significant cost reductions in cloud infrastructure.
Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in CI/CD and distributed systems.

Contact

Skills

Core Skills

Platform ArchitectureCloud ComputingInfrastructure As Code (iac)Continuous Integration And Continuous Delivery (ci/cd)Blockchain

Other Skills

ArgoClaude SkillsGoogle Cloud Platform (GCP)ControllersgolangKubernetesKarpenterASGkyvernoDNS ManagementAmazon Web Services (AWS)Project DeliveryAlgorithmsNetwork DesignTelemetry

About

My primary interest is in the automation and scaling of Distributed Systems and Cloud Architectures. Views are my own.

Experience

6 yrs 5 mos
Total Experience
2 yrs
Average Tenure
2 mos
Current Experience

Earnin

Senior Platform Engineer

Apr 2026Present · 2 mos · Bengaluru · Hybrid

  • ● Improved system stability by enabling pdb across the services.
  • ● Created Cluade Skill and agentic automation for the HPA Optimization of the services.
ArgoClaude SkillsPlatform Architecture

Disney+ hotstar

4 roles

Senior Software Development Engineer | Infrastructure Engineering

Promoted

Nov 2025Mar 2026 · 4 mos · Remote

  • ● Re-architected multi-cloud inventory and automation across AWS and GCP, migrating from Jsonnet-based templates to Helm for improved scalability and maintainability.
  • ● Managed and scaled infrastructure supporting 72.5M concurrent live stream viewers across 20+ AWS accounts, 12 GCP projects, and 18 EKS clusters.
  • ● Worked on reducing and optimizing the overall scale-up time for just-in-time scaling. As part of the same, Implemented a Kubernetes controller to use the ASG with a warm pool and Karpenter to reduce the node startup time by 4x.
Google Cloud Platform (GCP)ControllersgolangKubernetesKarpenterASG+3

Software Development Engineer-2 | Infrastructure Engineering

Sep 2024Oct 2025 · 1 yr 1 mo · Remote

  • ● Ported Kubernetes workloads and infrastructure to AWS Graviton, achieving a ~20% reduction in compute costs.
  • ● Deployed Kyverno for policy-as-code, enforcing topology spread constraints, optimizing node pool allocation, and restricting workloads to private registry images—improving cluster efficiency and security.
  • ● Retired legacy Kubernetes clusters and consolidated workloads onto a modern EKS platform, enhancing capacity utilization and reducing operational overhead by eliminating outdated configurations.
  • ● Shifted user login to different SSO and transitioned internal users to different mail, keeping the same authorization in place.
  • ● Served as game marshal and on-call lead during live events, ensuring smooth operations and rapid issue mitigation.
  • ● Identified gaps in the internal system and reduced the number of internal support tickets by 20%. Some of the work includes providing the time-bound elevated access to the engineers and reducing intervention in the Route 53 DNS management automation.
kyvernoKarpenterDNS ManagementAmazon Web Services (AWS)Cloud Computing

Software Development Engineer-2 | Productivity Engineering

Promoted

Jul 2022Aug 2024 · 2 yrs 1 mo · Remote

  • During this tenure, I have owned and improved the CI/CD process at the organization. The end goal was to establish a platform that enables true Continuous Delivery (CD) through unattended processes.
  • ● Simplified service onboarding, reducing pipeline configuration from over 200 lines of code to fewer than 20 variable configurations.
  • ● Set up the entire CD platform from scratch, having connections to multiple tools like K8s, Jira, AWS, GCP, Vault, ECR, Prometheus, Coralogix, etc.
  • ● Drove standardization in the deployment process for over 400 backend services, facilitating their migration to a new CD platform, Harness NG, within 5 weeks. To make this happen, I collaborated with the vendor and helped develop more than 40 new features in the platform and used Python scripts to do the controlled migration.
  • ● Facilitated guardrails like Jira ticket approval, freezes, test execution of multiple types, and metrics verification to reduce the amount of defective code reaching production.
  • ● Improved developer experience with a unified deployment method for all services in the organization, reducing cognitive load and increasing deployment frequency.
  • ● Added telemetry to the pipeline to gather data on its behavior for further improvements. Improved the MTTR metrics based on it and reduced the direct prod deployments by enforcing standard practices and reduced prod failures.
  • ● Unlocked controlled traffic routing during canary releases to mitigate risks and achieve test execution on canary at 0% in production. Modified centralized jsonnet and golang automation to support the required changes on ambassador mappings and diff k8s components to implement the same.
  • ● Collaborated with SaaS vendors to evaluate and enhance the CD product to meet current and future requirements.
  • ● Designed and orchestrated CI/CD tool infrastructure to support builds and deployments at scale. The CI system is handling more than 3000 jobs per day, and CD is doing more than 500 deployments per day.
Project DeliveryAlgorithmsInfrastructure as code (IaC)KubernetesNetwork DesignTelemetry+11

Software Development Engineer-1 | Productivity Engineering

Sep 2021Jul 2022 · 10 mos · Remote

  • ● Evaluated and implemented multiple tools to improve the development flow with reduced risks and increased productivity. Introduced trunk-based development within the org and activated the service onboarding to the new CI/CD stack containing GitHub Action and Harness CG.
  • ● Contributed to various org-wide Terraform module improvements. Modernized Terraform code with the state to a version greater than 1. Designed SOP and created a pipeline to migrate the Terraform version with ease.
  • ● Collaborated in internal utility to generate the manifest from values file which uses go and jsonnet.
TerraformAlgorithmsInfrastructure as code (IaC)KubernetesNetwork Designgolang+12

Argusoft

3 roles

DevOps Engineer

Jan 2020Aug 2021 · 1 yr 7 mos · On-site

  • ● Lead the devops team of 3 and completed projects for multiple clients spanning the globe in various cloud platforms Azure and AWS.
  • ● Completed PaaS migration of resources using ARM deployments, Azure SQL DB, Function App, Logic App, Data Factory. Achieve around 40% cost reduction with increased throughput and decrease inter-client shared resources.
  • ● Managed a multi-environment system and gained insight from the data that is logged using the application using components like lambda, EMR, S3, EC2, VPC, SES, CloudWatch, ALB, WAF, Memcached, Boto3, Terraform, PySpark.
Amazon Elastic MapReduce (EMR)Microsoft AzureAlgorithmsJenkinsInfrastructure as code (IaC)Kubernetes+12

DevOps trainee

Sep 2019Dec 2019 · 3 mos · On-site

  • ● Completed continuous code quality testing on in-house products using the CICD pipeline with GitLab, Jenkins, SonarQube, Docker-Compose.
  • ● Gathered implementation insight of clients having the infrastructure in Azure. Worked on various cloud technologies like Azure DevOps, Citrix VirtualApp Essentials, SQL Server, VMs, and networking.
Microsoft SQL ServerAlgorithmsJenkinsAzure DevOpsInfrastructure as code (IaC)Network Design+10

Programmer Analyst Trainee

Jul 2019Sep 2019 · 2 mos · On-site

  • ● Worked on various development technologies and PoC which are being implemented in the company, i.e. Java, NodeJS, Angular, VueJS, MongoDB, MySql, Git.
AlgorithmsHTMLCascading Style Sheets (CSS)DebuggingShell ScriptingOperating Systems+2

Ahmedabad university

Teaching Assistant

Aug 2018Dec 2018 · 4 mos · Ahmedabad Area, India · On-site

  • ● I was responsible to help the whole class in the “Introduction to Blockchain Technologies” subject and provide assistance to the professors in some day to day activities.
AlgorithmsdockerConsensus AlgorithmsHyperledgerDebuggingShell Scripting+6

Education

Institute of Engineering and Technology, Ahmedabad University

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

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