Sachin is available for hire

Sachin Sharma

Verified Expert in Engineering

Software Engineer and Developer

Jaipur, Rajasthan, India

Toptal member since June 4, 2026

Expertise

Cloud Architecture Site Reliability AWS Terraform Cloud Engineering DevOps Agile Development Kubernetes GitHub Docker Quality Assurance Engineering SOC 2( Service Organization Control)Cloudflare Grafana

Bio

Sachin is a platform and cloud architect with 11+ years guiding enterprises through high-stakes cloud and AI transformations. He works with engineering leaders and executives to make tough architecture calls, de-risk migrations, and align infrastructure, application, and security teams behind a single delivery plan. Clients lean on him as a trusted advisor and second opinion when the cost of getting it wrong is high, across banking compliance, payments platforms, and enterprise AI initiatives.

Portfolio

Ollion

Amazon Web Services (AWS), Google Cloud Platform (GCP), Terraform, Kubernetes...

Pratham Software

Amazon Web Services (AWS), Python, Management, Agile Project Management...

Experience

Amazon Web Services (AWS) - 8 years
Terraform - 8 years
Google Cloud Platform (GCP) - 7 years
Cloud Migration - 6 years
GitHub - 5 years
Kubernetes - 5 years
Prometheus - 4 years
Model Context Protocol (MCP) - 1 year

Preferred Environment

Google Cloud Platform (GCP), Amazon Web Services (AWS), Terraform, Kubernetes, GitHub, Model Context Protocol (MCP), Prometheus, Grafana, Argo CD, Vertex AI, Microsoft Entra, Amazon CloudFront, Terragrunt, Ansible, Release Management, AWS Cloud Security, Continuous Delivery (CD), Continuous Integration (CI), Technical Documentation

The most amazing...

...migration I've led was a 7 PB Azure-to-GCP move across 200+ services on GKEs and 14 engineers, with zero-downtime gradual cutover from 0.1% to 100% traffic.

Work Experience

Lead DevOps and Cloud Architect

2018 - 2026

Ollion

Led an Azure-to-GCP migration for a digital advertising client, migrating 200+ services with over 60 Kubernetes clusters, 7 PB of data, zero downtime via gradual cutover from 0.1% to 100% traffic, reducing infra cost from $1.2 million to $720,000.
Developed an RBI-compliant GCP landing zone for a tier-1 Indian bank powering a leading UPI payments app, with three environments, six GKE clusters, 5 TB of data, and integrated Cloud Armor, Check Point/F5 NGFW, and IBM QRadar SIEM with regional DR.
Led the migration of an Indonesian conglomerate's banking and finance BU from on-premises to AWS EKS, delivering 29 services in 2.5 months with 0 downtime and zero production incidents, enabling the client's team to run subsequent BUs independently.
Scaled GCP infrastructure for a leading Indian gaming platform to serve more than 500,000 requests per second and over 100,000 concurrent users during World Cup 2023 with zero downtime, secured via Cloud Armor and Helm-driven Jenkins pipelines.
Reduced new business unit infrastructure provisioning from 2–3 weeks to one day across seven business units and three environments by templatizing a complete AWS platform with Terraform, Terragrunt, Vault, and Atlantis-driven IaC pipelines.
Built an AWS COVID-19 certificate verification platform for a Singapore organization across 10 business units, with per-BU account segregation, GitLab CI/CD with near-zero downtime, and centralized observability via Vault, Prometheus, and Grafana.
Cut tractor visual inspection time from 60 minutes to 5–10 minutes by building a Vertex AI platform with four cameras feeding GCP via Anthos and Litmus Edge, with touchless model retraining and MQTT-routed field data to centralized monitoring.
Architected a Salesforce (MCP) server and AI prospecting engine that enabled conversational data retrieval and automated right-fit client scoring, removing manual query and reporting effort for the sales team.

Technologies: Amazon Web Services (AWS), Google Cloud Platform (GCP), Terraform, Kubernetes, Amazon EKS, Google Kubernetes Engine (GKE), Jenkins, GitHub, GitLab, Azure, Docker, Istio, Prometheus, Grafana, ELK (Elastic Stack), Database Migration, Cloud Migration, Vertex AI, Model Context Protocol (MCP), AI Agents, AI Automation, Automations, Automation, Infrastructure Automation, Cloud Security, Governance, Cloud Governance, Open Policy Agent (OPA), Policy as code (PaC), AWS SCP, Azure DevOps, DevSecOps, GitHub Actions, Azure Active Directory, Microsoft 365, Microsoft Entra, AWS CodeDeploy, Amazon CloudFront, Terragrunt, Cloudflare, Ansible, Healthcare, Healthcare Services, SOC 2, Supabase, IT Security, Release Management, QA Automation, AWS Cloud Security, Continuous Delivery (CD), Continuous Integration (CI), Observability, AWS VPN, Amazon EC2, Technical Documentation

Senior Software Engineer

2015 - 2018

Pratham Software

Introduced Jenkins as the company's first CI/CD platform across a 250+ person organization, conducted 15+ training sessions, and onboarded every internal project to automated pipelines with SonarQube static analysis and security scanning.
Spearheaded end-to-end delivery of an AWS-based application as the technical owner, spanning front-end development, back-end development, and DevOps, while managing client requirements and team coordination in the project manager's absence.
Established CI/CD best practices, security scanning, and code quality gates as standard engineering practice across all internal projects, reducing release risk and onboarding time for new developers.
Delivered a front-end application and an IIS-based deployment pipeline for a consulting firm, working as part of a senior cross-functional team to meet a US-based client's quality and timeline expectations.

Technologies: Amazon Web Services (AWS), Python, Management, Agile Project Management, Team Leadership, Customer Success, CI/CD Pipelines, Jenkins, Shell, Octopus Deploy, GitHub, IIS, Software Development Lifecycle (SDLC), Development

Experience

Enterprise Azure-to-GCP Migration at Petabyte Scale

I led the Azure-to-GCP migration for a 5,000-employee digital advertising client that ran its SSP and DSP platforms. The challenge was to migrate 200+ services across 60+ Kubernetes clusters and 7 PB of data with zero downtime, while reducing infrastructure cost.

I structured the discovery into business-unit segmented deep dives with standardized templates, designed GKE clusters with Spot node pools. I used Google Storage Transfer Service for analytics data alongside Dedicated Interconnect for sensitive DB traffic. I executed a gradual traffic cutover from 0.1% to 100% with a multi-day soak at each step, catching CDC issues at the 0.1% phase before they could impact production. Annual cost dropped from $1.2 million to $720,000 (40% reduction).

AWS EKS Banking Platform Architecture and Observability

I directed infrastructure and security architecture for a leading Indonesian bank on AWS EKS, ensuring high availability and observability for containerized banking workloads with hardened CI/CD. I architected end-to-end AWS infrastructure entirely as code, with VPC segmentation, IAM least-privilege roles, EKS cluster design with network policies, and GuardDuty and CloudTrail integration for continuous threat detection. I simplified observability and SRE practices by centralizing logging, monitoring, and alerting with AWS-native tools, combined with Grafana and Prometheus. I also built dashboards and alert policies tuned to banking SLAs, ensuring containerized workloads were secured and scalable through well-defined IAM, VPC, and network security configurations, while maintaining operational efficiency and compliance across all environments.

Salesforce MCP Server with AI Prospect Intelligence

I built a Model Context Protocol (MCP) server from scratch that connects to Salesforce as conversational AI tools, enabling users to retrieve data and execute operations on Salesforce through natural language rather than manual queries. It is paired with an AI prospecting engine that automatically generates prospect lists, scans them across signal sources, and scores each prospect for right-fit qualification. This automated the top-of-funnel work that previously required dedicated SDR time. The MCP integration exposes Salesforce data and operations as discoverable tools to any MCP-compatible LLM client, removing manual reporting effort for sales operations and analytics teams.

Vertex AI Visual Inspection Platform with Anthos Hybrid Edge

I delivered a hybrid edge-to-cloud platform for visual inspection of tractor production, reducing per-tractor inspection time from 60 minutes to 5–10 minutes (6 – 12x faster). I architected an integration between a Vertex AI image model and the on-prem visual inspection system, with four cameras feeding real-time imagery via MQTT through Litmus Edge into GCP. I migrated workloads from bare-metal Kubernetes to GKE via Anthos for unified hybrid operations. I enabled touchless automatic model retraining: as new tractor images arrived, the model retrained without manual intervention. Field data and camera insights are consolidated on centralized dashboards for unified monitoring across the inspection pipeline.

Education

2011 - 2015

Bachelor's Degree in Computer Science

MBM Engineering College - Jodhpur, Rajasthan, India

Certifications

APRIL 2026 - PRESENT

Model Context Protocol: Advanced Topics

Anthropic

FEBRUARY 2026 - FEBRUARY 2028

GCP Professional Cloud DevOps Engineer

Google Cloud

NOVEMBER 2025 - NOVEMBER 2028

Generative AI Leader Certification

Google Cloud

AUGUST 2025 - AUGUST 2027

Professional Cloud Security Engineer Certification

Google Cloud

DECEMBER 2024 - DECEMBER 2026

GCP Professional Cloud Architect

Google Cloud

FEBRUARY 2023 - FEBRUARY 2025

Certified Kubernetes Security Specialist

The Linux Foundation

DECEMBER 2022 - DECEMBER 2025

Cloud Digital Leader Certification

Google Cloud

MAY 2021 - MAY 2024

Certified Kubernetes Administrator

The Linux Foundation

JULY 2020 - JULY 2023

HashiCorp Certified: Terraform Associate (002)

HashiCorp

JULY 2020 - JULY 2023

GCP Associate Cloud Engineer

Google Cloud

MAY 2020 - MAY 2023

Certified Kubernetes Application Developer

The Linux Foundatinon

APRIL 2020 - APRIL 2023

AWS Certified SysOps Administrator Associate

Amazon Web Services

AUGUST 2019 - AUGUST 2022

AWS Certified Developer Associate

Amazon Web Services

JUNE 2019 - JUNE 2022

AWS Certified Security – Specialty

Amazon Web Services

OCTOBER 2018 - OCTOBER 2022

AWS Certified Solutions Architect Professional

Amazon Web Services

OCTOBER 2018 - OCTOBER 2022

AWS Certified Solutions Architect Associate

Amazon Web Services

Skills

Libraries/APIs

Terragrunt, Thanos

Tools

Terraform, GitHub, AWS CodeDeploy, Amazon CloudFront, VPN, Grafana, Ansible, Jenkins, Shell, Amazon EKS, Google Kubernetes Engine (GKE), GitLab, Istio, ELK (Elastic Stack), Amazon OpenSearch, Amazon QuickSight, Litmus, MQTT, Helm, Logging

Paradigms

DevOps, Continuous Delivery (CD), Continuous Integration (CI), Model Context Protocol (MCP), Management, DevSecOps, Agile Project Management, Automation, Azure DevOps

Platforms

Google Cloud Platform (GCP), Amazon Web Services (AWS), Kubernetes, Docker, Amazon EC2, Vertex AI, Azure, Salesforce

Industry Expertise

Healthcare

Languages

Python, TypeScript

Storage

Database Migration, Google Cloud SQL, Azure Active Directory

Other

CI/CD Pipelines, Site Reliability Engineering (SRE), Infrastructure as Code (IaC), Cloud Architecture, Automations, Release Management, AWS Cloud Security, Observability, AWS VPN, Technical Documentation, Prometheus, Argo CD, Software Development Lifecycle (SDLC), AI Automation, Cloud Governance, Open Policy Agent (OPA), Policy as code (PaC), AWS SCP, Microsoft 365, Cloudflare, Healthcare Services, SOC 2, IT Security, QA Automation, Life, System Design, Programming, Data Structures, Team Leadership, Customer Success, Octopus Deploy, IIS, Development, Cloud Migration, AI Agents, Storage Transfer Service, Runbooks, AWS IAM Identity Center, Identity & Access Management (IAM), Amazon GuardDuty, Cost Reduction & Optimization (Cost-down), Security Enhancement, JumpCloud, LLM Integration, Agentic AI, Anthos, Hybrid Cloud Infrastructure, Architecture, Security, Cloud Computing, Cloud Security, Infrastructure Automation, Scalability, Systems Monitoring, Code Deployment, Codebase Development, Cloud Infrastructure, AI Ethics, Artificial Intelligence (AI), Business Awareness, Enterprise Cybersecurity, Data Security, Security Controls, Network Security, Workload Migration, Reliability, Networking, Cloud Storage, Pub/Sub, Security Management, Security Architecture, Scheduling, Security Policies & Procedures, Containers, Kubernetes Security, Multicloud, AI Architecture, LLM Tooling, AI Integration, Governance, GitHub Actions, Microsoft Entra, Supabase

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.

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.

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