Mahesh is available for hire
Hire MaheshMahesh Kumar
Verified Expert in Engineering
DevOps Engineer and Developer
Bengaluru, Karnataka, India
Toptal member since January 18, 2023
Bio
Mahesh is an IT service professional with 17 years of end-to-end presales and delivery experience on large complex assignments involving the integration of multiple platform technologies. He has worked in various industries, including government and finance. Mahesh holds a bachelor's degree in electronics and communication and is a Google Cloud Certified Professional: Cloud Architect, Data Engineer, Network Engineer, and Security Engineer.
Portfolio
Learn GCP with Mahesh
Google Cloud/Suite, Google Kubernetes Engine (GKE), Terraform...
Pluto7
Google Cloud/Suite, Identity & Access Management (IAM)...
Capgemini India
Google Cloud/Suite, Google Kubernetes Engine (GKE), Terraform, Networking...
Experience
- Linux - 17 years
- Google Cloud/Suite - 5 years
- Google Cloud Storage - 5 years
- Google Cloud - 5 years
- Terraform - 4 years
- Google Kubernetes Engine (GKE) - 4 years
- BigQuery - 4 years
- Data Engineering - 4 years
Preferred Environment
Google Cloud, Linux, Windows, Java, Google Cloud Platform (GCP)
The most amazing...
...thing I've done is share interesting GCP concepts by maintaining the YouTube channel: Learn GCP with Mahesh, gaining 19,100+ subscribers and 1.2+ million views.
Work Experience
Freelance Cloud Architect | Data & DevOps Engineer | Google Cloud Trainer | YouTuber
2020 - PRESENT
Learn GCP with Mahesh
- Built an entirely serverless data warehouse modernization system using Google Cloud: Storage, Run, Workflows, Scheduler, and BigQuery with zero networking in six months.
- Delivered training for the Google Cloud Professional Cloud Architect course as an online instructor for 50 batches with 3,500+ participants, with a consistent net promoter score of 75% and above.
- Contributed as a GCP evangelist and enthusiastic YouTuber, maintaining Learn GCP with Mahesh, a YouTube channel where interesting GCP concepts are shared, with 19,100+ subscribers and 1.2+ million views.
Technologies: Google Cloud/Suite, Google Kubernetes Engine (GKE), Terraform, Identity & Access Management (IAM), Google Cloud Platform (GCP), DevOps, GitLab CI/CD, CI/CD Pipelines, GitLab, Cloud Architecture, Google Cloud SQL, Content Delivery Networks (CDN), Infrastructure as Code (IaC), Node.js, GraphQL, REST APIs, SSL, Load Balancers, Networks, Security, DevSecOps, JavaScript, Bash Script, Continuous Integration (CI), Continuous Delivery (CD), Google BigQuery, Vertex AI, Virtual Private Cloud (VPC), Google Cloud Functions, MySQL, DDoS, Container Orchestration, Cloud Security, Microservices Architecture, Microservices, Bash, Cloud Monitoring, Google Cloud Storage, Vercel, Jenkins, Scalable Web Services, Istio, Cloud Engineering, Go, Documentation, Kueue, IT Systems Architecture, GCP DevOps, Scripting, Network Protocols, Apache Kafka, Networking, GitHub, Shell, Communication, AWS CloudFormation, PostgreSQL, GitHub Actions, Data Pipelines, AWS DevOps, General Data Protection Regulation (GDPR), Amazon EC2, Amazon S3 (AWS S3), Docker Compose, NGINX, Docker, Cloud Infrastructure, Observability, Telemetry, Railway, Site Reliability Engineering (SRE)
Vice President of Technology
2019 - 2020
Pluto7
- Provided leadership—along with department heads in marketing, sales, pre-sales, and delivery—in designing GCP-based solutions and as an advisor of technologies improving efficiency and effectiveness, eventually supporting Pluto7's mission.
- Partnered with Google, interacting actively with Google and its customers on strategic engagements, assisting in pre-sales, and promoting and branding Pluto7 on various platforms.
- Led Pluto7 Academy as the training arm for internal and external stakeholders.
Technologies: Google Cloud/Suite, Identity & Access Management (IAM), Google Cloud Platform (GCP), DevOps, GitLab CI/CD, CI/CD Pipelines, Cloud Architecture, Content Delivery Networks (CDN), Infrastructure as Code (IaC), Node.js, REST APIs, SSL, Load Balancers, Networks, Security, DevSecOps, JavaScript, Bash Script, Continuous Integration (CI), Continuous Delivery (CD), Google BigQuery, Vertex AI, Virtual Private Cloud (VPC), Google Cloud Functions, MySQL, DDoS, Container Orchestration, Cloud Security, Microservices Architecture, Microservices, Bash, Cloud Monitoring, Google Cloud Storage, Google Cloud SQL, Scalable Web Services, Istio, Cloud Engineering, Documentation, IT Systems Architecture, Scripting, Network Protocols, Apache Kafka, Networking, GitHub, Shell, Communication, AWS CloudFormation, PostgreSQL, GitHub Actions, Data Pipelines, AWS DevOps, General Data Protection Regulation (GDPR), Amazon EC2, Amazon S3 (AWS S3), Docker Compose, NGINX, Docker, Google Kubernetes Engine (GKE), Cloud Infrastructure
Program Manager | Google Cloud Solutions Architect
2018 - 2019
Capgemini India
- Developed and refactored Java-based microservices to Google App Engine Std and Google Kubernetes Engine (GKE) in four days.
- Designed and built a CI/CD pipeline using Google Cloud Build and improved the team's efficiency.
- Used technologies such as Cloud IAM, Compute Engine, App Engine Std and Flex, GKE, Cloud Storage, Cloud SQL, Cloud VPN, Shared VPC, VPC Network Peering, Pub/Sub, Dataflow, BigQuery, Cloud MLE, DataPrep, and CloudEndure.
Technologies: Google Cloud/Suite, Google Kubernetes Engine (GKE), Terraform, Networking, Identity & Access Management (IAM), Google Cloud Platform (GCP), DevOps, GitLab CI/CD, CI/CD Pipelines, Cloud Architecture, Google Cloud SQL, Content Delivery Networks (CDN), Infrastructure as Code (IaC), REST APIs, SSL, Load Balancers, Networks, Security, DevSecOps, JavaScript, Bash Script, Continuous Integration (CI), Continuous Delivery (CD), Helm, Google BigQuery, Virtual Private Cloud (VPC), Google Cloud Functions, MySQL, DDoS, Container Orchestration, Cloud Security, Microservices Architecture, Microservices, Bash, Google Cloud Storage, Cloud Engineering, Go, Documentation, IT Systems Architecture, GCP DevOps, Scripting, Network Protocols, GitHub, Shell, Communication, Data Pipelines, Amazon EC2, Amazon S3 (AWS S3), Docker Compose, Cloud Infrastructure
Presales Engineer for Intelligent Data Operating Layer (IDOL)
2012 - 2018
Hewlett Packard Enterprise
- Provided technical advisory service for implementing unstructured data analytics solutions using GCP: Pub/Sub, GCS, and BigQuery and Micro Focus IDOL: enterprise search, knowledge management, social media analytics, image, video, and audio analytics.
- Developed a technical relationship and trust with the customers through extensive business and technical conversations, understanding their pain points and recommending comprehensive solutions rather than an out-of-the-box product.
- Participated as a developer in HP IDOL OnDemand's Ultimate Hacker Challenge 2014 and wrote six JavaScript Bookmarklets that used APIs like the Google Cloud Natural Language API, which won first place.
Technologies: Google Cloud/Suite, Autonomy IDOL Search, Cloud Architecture, JavaScript, Bash Script, Continuous Delivery (CD), MySQL, Container Orchestration, Cloud Security, Microservices Architecture, Microservices, Bash, Video Games, Google Cloud Storage, Documentation, Scripting, Shell, Communication
Software Engineer | Autonomy IDOL Specialist
2010 - 2012
Fidelity Investments
- Wrote custom logic in 20 days to handle 1,000 requests per second from a knowledge management portal that previously failed to handle 50 requests per second. In recognition, I received the prestigious President Award in January 2011.
- Developed various Autonomy IDOL modules for an ideation-based project where employees' quality ideas were captured to increase productivity and reduce cost.
- Used the IDOL Server to enable the search of ideas and the ability to identify duplicate ideas.
Technologies: Autonomy IDOL Search, Java, Bash Script, Microservices Architecture, Microservices, Google Cloud Storage, Documentation, Communication
Software Engineer
2005 - 2007
Srishti Software Applications Pvt
- Built a web-enabled expert system for the market analysts of the chemical industry to extract tacit knowledge and make it searchable.
- Developed the system, allowing them to track websites for relevant details by crawling and indexing them using Autonomy's connectors, which helps with decision-making.
- Fixed various Autonomy IDOL bugs and submitted them to the company for inclusion in future solutions.
Technologies: Sybase, Perl, Java, SQL, Bash Script, Google Cloud Storage, Communication
Experience
Data Lake Modernization Using Google Cloud
Built a modern data lake ecosystem using various Google Cloud Suite services like Cloud Storage, BigQuery, Cloud Functions, Cloud Run, Cloud Scheduler, and Cloud Workflows. I also leveraged Terraform to provision these Google Cloud resources, working as a data and DevOps engineer moving data to Google Cloud and staging them in different layers.
Employee Beneficiary App
A beneficiary app that guides employees on how to plan their financial journey using a 401(k) plan, mutual funds, and others. I worked as a Google Cloud DevOps engineer, where the entire infrastructure was provisioned using Terraform. I leveraged Google Cloud services such as GKE, Cloud Run, BigQuery, Cloud Storage, Cloud Secret Manager, Cloud Datastore, Cloud Scheduler, Cloud Load Balancing, Cloud Armor, and Cloud CDN.
Cloud Solutions Architect
As a Google Cloud Solution Architect, I designed, refactored, and deployed ten greenfield microservices written in Java Spring Boot and Angular to Google App Engine Standard, with Google Cloud SQL for Postgres as the database within two business days. Later, I designed and refactored the same set of microservices to GKE with Ingress to make the solution public-cloud agnostic.
Education
2001 - 2005
Bachelor's Degree in Electronics and Communication
Visvesvaraya Technological University - Bengaluru, Karnataka, India
Certifications
SEPTEMBER 2023 - SEPTEMBER 2025
Google Cloud Professional DevOps Engineer
Google Cloud
DECEMBER 2022 - DECEMBER 2024
Google Cloud Certified Cloud Digital Leader
Google Cloud
DECEMBER 2022 - DECEMBER 2025
Google Cloud Certified Associate Cloud Engineer
Google Cloud
DECEMBER 2022 - DECEMBER 2024
Google Cloud Certified Professional Security Engineer
Google Cloud
DECEMBER 2022 - DECEMBER 2024
Google Cloud Certified Professional Network Engineer
Google Cloud
DECEMBER 2018 - DECEMBER 2024
GCP Professional Cloud Architect
Google Cloud
APRIL 2018 - JUNE 2024
Google Cloud Certified Professional Data Engineer
Google Cloud
Skills
Libraries/APIs
REST APIs, Autonomy IDOL Search, Node.js
Tools
Terraform, Google Kubernetes Engine (GKE), Google Compute Engine (GCE), Istio, GitHub, Shell, BigQuery, Google Cloud Composer, GitLab CI/CD, GitLab, AWS CloudFormation, Docker Compose, Helm, Jenkins, Kueue, NGINX
Paradigms
DevOps, DevSecOps, Continuous Integration (CI), Continuous Delivery (CD), DDoS, Microservices Architecture, Microservices
Platforms
Amazon Web Services (AWS), Google Cloud Platform (GCP), Kubernetes, Docker, Linux, Windows, Vertex AI, Amazon EC2, Google App Engine, Vercel, Apache Kafka
Storage
Google Cloud Storage, Google Cloud, Google Cloud SQL, MySQL, PostgreSQL, Data Pipelines, Amazon S3 (AWS S3), Sybase
Languages
Python, JavaScript, Bash Script, Bash, Java, Python 3, Perl, SQL, GraphQL, Go
Frameworks
Unity
Other
Google Cloud/Suite, Networking, CI/CD Pipelines, Cloud Architecture, Pub/Sub, Load Balancers, Security, Google BigQuery, Virtual Private Cloud (VPC), Google Cloud Functions, Container Orchestration, Cloud Security, DevOps Engineer, Cloud Engineering, Documentation, GCP DevOps, Scripting, Communication, GitHub Actions, Cloud Infrastructure, Observability, Data Engineering, Content Delivery Networks (CDN), Infrastructure as Code (IaC), SSL, Networks, Cloud Monitoring, IT Systems Architecture, AWS DevOps, Telemetry, Site Reliability Engineering (SRE), Identity & Access Management (IAM), Video Games, Scalable Web Services, Network Protocols, General Data Protection Regulation (GDPR), Railway
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.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
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