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Rishikesh Sonawane

Immediate Joiner | DevOps Engineer | AWS | Terraform | GitHub Actions | Kubernetes | CI/CD | Docker | Linux | Datadog

Pune District

4+ years of work experience

Zendesk
Nov 20256 mosApr 2026

Pune District

• Architected hybrid Amazon ECR distribution strategy (Cross-Region Replication + Pull-Through Cache) across 7 AWS regions, generating $163,884 in annualized cost savings — a 90%+ reduction in storage and data transfer costs • Reduced container image pull latency from 7–8 minutes to 2–3 minutes globally, accelerating CI/CD execution by 2–3× for 2,000+ engineers • Engineered self-hosted GitHub Actions runner platform on AWS EC2 with Auto Scaling Groups, Terraform, and Packer — supporting 500+ concurrent runners • Automated infrastructure provisioning through Terraform and Atlantis GitOps workflows, managing 1,000+ AWS resources • Built Datadog monitoring dashboards and alerting systems, reducing MTTR by 40% • Managed on-call incident response, resolving 50+ critical incidents with root cause analysis • Led GitHub Enterprise Cloud governance for 2,000+ engineers: repositories, access controls, secrets management
Persistent Systems
Jul 20223 yrs 5 mosNov 2025

Pune District

• Worked as part of a long-term Zendesk platform engineering engagement focused on enterprise CI/CD infrastructure and developer platform operations • Built internal Bash automation CLI adopted by 2,000+ engineers, reducing onboarding from ~1 week to under 20 minutes (98% reduction) • Designed reusable GitHub Actions workflows, standardizing CI/CD across 50+ engineering teams • Engineered self-hosted GitHub Actions runner infrastructure on AWS EC2 with capacity planning and lifecycle management • Automated AWS infrastructure provisioning using Terraform (EC2, IAM, ECR) • Implemented Datadog monitoring achieving 99.9% CI/CD platform uptime • Administered GitHub Enterprise Cloud for 2,000+ developers • Resolved 100+ CI/CD and infrastructure incidents with preventative measures
Persistent Systems
Jan 20227 mosJul 2022

Pune Division

• Migrated legacy deployment workflows to Terraform-managed Infrastructure as Code, provisioning over 50 AWS resources • Developed Python-based backend automation tools for streamlined infrastructure provisioning and operational workflows • Developed Docker container images and Docker Compose configurations standardizing local development environments across teams • Automated cloud resource provisioning with Bash and Python scripts, accelerating development environment setup time by 40%

Rishikesh’s AI Stack

antigravity
antigravity
codex
codex

Education

Sandip Institute of Technology, & Research Centre

Bachelor of Engineering, Electronics and telecommunications

Sandip Institute of Technology, & Research Centre

20175 yrs2022
Lions English School

PCMCS

Lions English School

20172017

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Headline

Immediate Joiner | DevOps Engineer | AWS | Terraform | GitHub Actions | Kubernetes | CI/CD | Docker | Linux | Datadog

About

DevOps and Platform Engineer with 4+ years of experience architecting AWS cloud infrastructure, managing Kubernetes workloads, and building enterprise CI/CD platforms serving 2,000+ engineers at Zendesk. Delivered $163,884 in annual AWS cost savings through ECR optimization, reducing storage and data transfer costs by 90%+ across 7 global regions. Slashed CI/CD image pull latency from 7–8 minutes to 2–3 minutes, improving pipeline performance by 2–3×. Built an internal automation CLI (Bash+Python) adopted by 2,000+ engineers, reducing developer onboarding from 1 week to under 20 minutes, a 98% reduction. Engineered enterprise-grade self-hosted GitHub Actions runner platform on AWS, handling 10,000+ monthly pipeline executions at 99.9% uptime. Core expertise: - AWS (EC2, ECR, IAM, VPC, Auto Scaling Groups), - Terraform, - GitHub Actions, - Kubernetes, - Docker, - Linux, - Bash, - Python, - Datadog, - Incident Response, - Cloud Cost Optimization.

Location

Pune District

AI stack

antigravity

codex

Work experience

Software Engineer 2 at Zendesk, Nov 2025 - Apr 2026 · 6 mos, Pune District, • Architected hybrid Amazon ECR distribution strategy (Cross-Region Replication + Pull-Through Cache) across 7 AWS regions, generating $163,884 in annualized cost savings — a 90%+ reduction in storage and data transfer costs • Reduced container image pull latency from 7–8 minutes to 2–3 minutes globally, accelerating CI/CD execution by 2–3× for 2,000+ engineers • Engineered self-hosted GitHub Actions runner platform on AWS EC2 with Auto Scaling Groups, Terraform, and Packer — supporting 500+ concurrent runners • Automated infrastructure provisioning through Terraform and Atlantis GitOps workflows, managing 1,000+ AWS resources • Built Datadog monitoring dashboards and alerting systems, reducing MTTR by 40% • Managed on-call incident response, resolving 50+ critical incidents with root cause analysis • Led GitHub Enterprise Cloud governance for 2,000+ engineers: repositories, access controls, secrets management

Senior Software Engineer (DevOps) at Persistent Systems, Jul 2022 - Nov 2025 · 3 yrs 5 mos, Pune District, • Worked as part of a long-term Zendesk platform engineering engagement focused on enterprise CI/CD infrastructure and developer platform operations • Built internal Bash automation CLI adopted by 2,000+ engineers, reducing onboarding from ~1 week to under 20 minutes (98% reduction) • Designed reusable GitHub Actions workflows, standardizing CI/CD across 50+ engineering teams • Engineered self-hosted GitHub Actions runner infrastructure on AWS EC2 with capacity planning and lifecycle management • Automated AWS infrastructure provisioning using Terraform (EC2, IAM, ECR) • Implemented Datadog monitoring achieving 99.9% CI/CD platform uptime • Administered GitHub Enterprise Cloud for 2,000+ developers • Resolved 100+ CI/CD and infrastructure incidents with preventative measures

Intern at Persistent Systems, Jan 2022 - Jul 2022 · 7 mos, Pune Division, • Migrated legacy deployment workflows to Terraform-managed Infrastructure as Code, provisioning over 50 AWS resources • Developed Python-based backend automation tools for streamlined infrastructure provisioning and operational workflows • Developed Docker container images and Docker Compose configurations standardizing local development environments across teams • Automated cloud resource provisioning with Bash and Python scripts, accelerating development environment setup time by 40%

Education

Bachelor of Engineering, Electronics and telecommunications, Sandip Institute of Technology, & Research Centre

PCMCS, Lions English School