Dhruvin  ·  Senior Multi-Cloud DevOps Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

Built for

Avery-DennisonSplunk

About Dhruvin

Dhruvin is a DevOps Engineer with 5+ years of experience in multi-cloud deployments and CI/CD pipeline management. He has a strong focus on automation and infrastructure as code, leveraging tools like Terraform and Kubernetes.

5+ years of commercial experience in

Skills(34)

AWSGCPTerraformKubernetesPythonJavaAngularGitGitHub ActionsSplunkEKSHelm ChartsArgo WorkflowsPrometheusGrafanaIAM RolesCI/CDCloud BuildGKEAI Notebooks (GCP)Vision API (GCP)AutoML (GCP)Cloud Storage (GCP)BigQueryDatastore (GCP)EC2S3ELBIAMVPCGitHubGitLabNagiosConfluence

Why hire Dhruvin?

Production deploy authorityDirect customer support experienceExpertise in multi-cloud deployments

Implemented CI/CD pipelines using GitHub Actions, enhancing deployment efficiency.

Designed cloud architectures for AI/ML projects, ensuring robust performance.

Leveraged Terraform for infrastructure as code, enabling reproducible deployments.

Established monitoring solutions with Prometheus and Grafana for Kubernetes environments.

Managed Splunk Cloud operations, providing direct customer support and troubleshooting.

Successfully implemented multiple CI/CD pipelines, streamlining deployment processes.

Designed and deployed robust cloud architectures on GCP for AI/ML projects.

Leveraged Terraform extensively for infrastructure as code, enabling scalable deployments.

Implemented Argo Workflows on Kubernetes, enhancing workflow management efficiency.

Established comprehensive monitoring solutions using Prometheus and Grafana.

Project highlights(5)

Open Metadata Data Catalog PlatformDevOps Engineer

Overview: Open Metadata is an open-source data catalog platform offered as a free-trial and SaaS product with paid features. Responsibilities: Created multiple CI/CD pipelines using Github Actions for Java-based applications to smooth deployment. Developed Terraform scripts to deploy resources, including creating and managing EKS clusters and deploying Helm Charts. Implemented Argo Workflows on Kubernetes to enhance workflow management, replacing Airflow. Set up Prometheus and Grafana for monitoring EKS using various metrics.

GitHub ActionsTerraformEKSHelm ChartsArgo WorkflowsKubernetesPrometheusGrafanaJava

Key outcomes:

  • Smoothed out the deployment process with multiple CI/CD pipelines.

  • Enhanced workflow management efficiency by implementing Argo workflows.

  • Set up comprehensive monitoring for EKS with Prometheus and Grafana.

Avery-Dennison Machine TranslationPlatform Engineer (DevOps)

Overview: This project aimed to develop a bi-directional machine translation solution between Turkish and English, rendering on-screen or offline output based on user preferences. Responsibilities: Created the GCP architecture and environment, including IAM roles with restricted policies. Implemented a CI/CD pipeline using Cloud Build for storing Angular code artifacts in buckets. Set up a source code repository with CI/CD to facilitate efficient developer commits. Deployed the machine translation application into a Kubernetes Cluster on GKE with CI/CD.

GCPIAM RolesCI/CDCloud BuildAngularKubernetesGKE

Key outcomes:

  • Developed an ideal solution for bi-directional machine translation.

  • Facilitated efficient developer commits through CI/CD implementation.

  • Successfully deployed the machine translation application on GKE.

Avery-Dennison Label AutomationPlatform Engineer (DevOps)

Overview: An AI/ML project to develop a unified system for ingesting label design images and returning the closest matches based on visual requirements and user-entered metadata. Responsibilities: Set up the GCP architecture and environment, including IAM roles, AI Notebooks, and enabling Vision API and AutoML. Created cloud storage, worked with BigQuery and Datastore for data management. Used Terraform to create VM instances for Machine Learning engineers. Designed the data schema to store extracted key marker coordinates into BigQuery using a Python script.

GCPIAM RolesAI Notebooks (GCP)Vision API (GCP)AutoML (GCP)Cloud Storage (GCP)BigQueryDatastore (GCP)TerraformPython

Key outcomes:

  • Set up a comprehensive GCP environment for AI/ML projects.

  • Enabled efficient data transfer between AWS and GCP buckets.

  • Designed and implemented data schema for BigQuery using Python.

TechOps SRESRE

Overview: Managed Splunk Cloud and fulfilled client requirements as an SRE, focusing on searching, monitoring, and analyzing machine-generated data. Responsibilities: Configured various applications, added, updated, and deleted Splunk configurations. Gained hands-on experience with AWS services including EC2, S3, ELB, IAM, and VPC. Created and reviewed run-books on Confluence to streamline team processes. Utilized version control systems like Git, GitHub, and GitLab for source code management and used Nagios for infrastructure monitoring.

SplunkAWSEC2S3ELBIAMVPCGitGitHubGitLabNagiosConfluence

Key outcomes:

  • Managed Splunk Cloud and fulfilled diverse client requirements.

  • Streamlined team processes by creating and reviewing run-books on Confluence.

  • Gained hands-on experience with various AWS services.

Admin On-Demand for SplunkSRE

Overview: Provided technical adoption assistance for Splunk deployments as part of the Admin On-Demand team, helping customers with predefined tasks. Responsibilities: Worked directly with Splunk customers to troubleshoot problems and queries. Created multiple dashboards and alerts in Splunk. Optimized Splunk queries and suggested best practices for Splunk usage.

Splunk

Key outcomes:

  • Resolved customer problems and queries through direct interaction.

  • Improved monitoring capabilities by creating multiple Splunk dashboards and alerts.

  • Optimized Splunk queries and provided best practice recommendations to customers.

Industry experience

EdTech

2 projects
  • Avery-Dennison Label AutomationPlatform Engineer (DevOps)GCP · IAM Roles · AI Notebooks (GCP) · Vision API (GCP) +6
  • Admin On-Demand for SplunkSRESplunk

SaaS / B2B

2 projects
  • Open Metadata Data Catalog PlatformDevOps EngineerGitHub Actions · Terraform · EKS · Helm Charts +5
  • Avery-Dennison Label AutomationPlatform Engineer (DevOps)GCP · IAM Roles · AI Notebooks (GCP) · Vision API (GCP) +6

Ready to work with Dhruvin?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.4 L/mo
Direct hirePossible
Start within48 hours
From₹1.4 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysSystem ownerOn-call experience
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

Not sure if this is the right fit?

Tell us your requirements and we'll match you with the best candidates.

Dhruvin

Lead DevOps Engineer