Pruthviraj Sonawane

Turning complex systems into reliable platforms. Built to scale. Designed to endure.

01 / The engineer

Site Reliability & Platform Engineer.

I build and operate reliable cloud platforms, combining Azure and Kubernetes expertise with Go and Terraform automation. My experience spans operations across 100+ clusters, certificate lifecycle automation, observability, and disaster recovery.

My work has helped reduce certificate-related incidents by approximately 80% and mean time to recovery by approximately 35%. CKA- and CKAD-certified, I focus on practical engineering that reduces operational toil, strengthens recovery, and gives teams confidence in production.

02 / Selected impact

Outcomes from production work.

Selected results from platform engineering, reliability, and operations roles.

~80%
Fewer certificate incidentsThrough certificate lifecycle automation.
30+
Azure subscriptionsSupported by quota management APIs.
~35%
Faster recoveryLower mean time to recovery through incident response and automation.
100+
Kubernetes clustersAcross scaled platform operations.

03 / Experience

Experience in production.

Microsoft · Nuance · Coredge.io · Nutrino Tech

Selected responsibilities and measurable contributions. Expand a role for the full details.

  1. MicrosoftSoftware Engineer 2Aug 2023 - PresentView contributionsHide contributions

    Designing and operating distributed Azure infrastructure, production AKS platforms, certificate lifecycle automation, and centralized observability.

    Selected contributions

    • Architected a zero-downtime certificate lifecycle platform using Azure Key Vault, Managed Identity, and automated workflows, reducing certificate-related incidents by approximately 80%.
    • Designed an Azure quota management system and supporting APIs for 30+ subscriptions, reducing resource conflicts by approximately 25%.
    • Led AKS platform rollouts covering networking, DNS, node pools, bootstrap services, Helm deployments, and production readiness.
    • Improved MTTR by approximately 35% through incident response, root-cause analysis, operational runbooks, and automated remediation.
    • Built centralized observability with Prometheus, Grafana, Azure Monitor, and Azure Log Analytics, reducing detection time by approximately 40%.
    • Developed Go and Python automation integrated with Azure CLI and PowerShell, reducing repetitive work by approximately 50% and deployment failures by 20%.
  2. Nuance Communications (Microsoft)Site Reliability EngineerJul 2022 - Aug 2023View contributionsHide contributions

    Secure CI/CD, infrastructure provisioning, production incident response, and service reliability for cloud-native applications.

    Selected contributions

    • Maintained secure CI/CD platforms and deployment validation, automated testing, and security gates, reducing deployment errors by approximately 30%.
    • Automated configuration and provisioning with Ansible, ARM Templates, and Infrastructure as Code, reducing environment deployment time by approximately 25%.
    • Led migration of Azure NSG associations from VM-level to subnet-level using Bicep and Azure DevOps CI/CD.
    • Used Azure Monitor and Log Analytics to identify reliability risks, reducing production incidents by approximately 25%.
    • Built Prometheus-based SLI/SLO dashboards and Grafana alerts for availability, latency, error rates, and error-budget consumption.
    • Led incident response and root-cause analysis, reducing average resolution time by approximately 20%.
  3. Coredge.ioDevOps EngineerDec 2021 - Jun 2022View contributionsHide contributions

    Multi-tenant Kubernetes platforms, API-driven disaster recovery, observability, and repeatable cluster operations.

    Selected contributions

    • Designed, deployed, and operated multi-tenant Kubernetes platforms while maintaining 99.9% availability.
    • Built a Python Flask REST API to automate Velero backup and restore operations.
    • Built Prometheus and Grafana monitoring and alerting, reducing detection time from 25 minutes to under 5 minutes.
    • Automated cluster operations, deployments, and maintenance with Terraform and GitLab CI/CD, reducing manual effort by 40%.
    • Diagnosed failures across networking, storage, and Kubernetes scheduling while maintaining SLA commitments.
  4. Nutrino Tech SystemsSite Reliability EngineerOct 2019 - Dec 2021View contributionsHide contributions

    Application delivery, containerization, production monitoring, and automated operational workflows.

    Selected contributions

    • Built Azure DevOps CI/CD platforms for containerized microservices, reducing deployment cycle times by approximately 50%.
    • Containerized workloads with Docker, increasing release frequency by approximately 5x.
    • Integrated AppDynamics monitoring into production environments.
    • Automated workflows with Bash, ARM Templates, and Kubeadm, reducing manual setup time by approximately 40%.

Employer marks identify this work history; they do not imply sponsorship or endorsement. Sources and trademark notices.

Technical toolkit

Grouped by purpose, not proficiency

Languages & shells

  • Go
  • Python
  • Bash
  • PowerShell

Cloud & containers

  • Azure
  • Kubernetes
  • AKS
  • Docker
  • Linux

Infrastructure & delivery

  • Terraform
  • Bicep
  • Ansible
  • Helm
  • CI/CD

Networking & transport

  • TCP/IP
  • DNS
  • TLS

Observability

  • Prometheus
  • Grafana
  • Azure Monitor

Reliability & recovery

  • Velero
  • Incident response
  • Capacity planning
  • Disaster recovery

Certifications

5 credentials in cloud and platform engineering.

AZ-900

Microsoft Certified: Azure Fundamentals

CKA

Certified Kubernetes Administrator

CKAD

Certified Kubernetes Application Developer

KCSA

Kubernetes and Cloud Native Security Associate

KCNA

Kubernetes and Cloud Native Associate

Education

2019

Bachelor of Engineering, Computer Engineering

Savitribai Phule Pune University

The engineering shelf

Books for thinking in systems.

A reference shelf on infrastructure, operations, and the foundations of software. Links lead only to authorized, freely readable books.

Cover of Designing Data-Intensive Applications, 1st edition
Distributed systems

Designing Data-Intensive Applications

Martin Kleppmann

1st edition
Cover of Terraform: Up & Running, 2nd edition
Infrastructure

Terraform: Up & Running

Yevgeniy Brikman

2nd edition
Cover of Kubernetes: Up & Running, 1st edition
Platforms

Kubernetes: Up & Running

Kelsey Hightower, Brendan Burns & Joe Beda

1st edition
Cover of Cracking the Coding Interview, 6th edition
Algorithms

Cracking the Coding Interview

Gayle Laakmann McDowell

6th edition

Bibliographic cover thumbnails via Open Library Covers. Cover rights belong to their respective publishers.

05 / Keep learning

Keep a place for curiosity.

A reference shelf, an open learning workspace, and a different view of the day.

06 / Say hello

Let's talk engineering.

An engineering question, a thought on reliability, or just a hello — email is a simple place to start.