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Prasad Takale

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Prasad Takale

I'm Prasad Takale

Senior DevOps and Cloud Platform Engineer with years of hands-on IC experience designing, implementing, and operating cloud-native infrastructure for FedRAMP-aligned SaaS platforms across AWS Commercial and GovCloud. Specialized in Amazon EKS platform architecture, Terraform-based infrastructure automation, DevSecOps-integrated CI/CD, and secure cloud networking including end-to-end design of API Gateway, VPC Link, NLB, ALB, EKS ingress architectures with AWS WAF and Cognito authentication.

Selected outcomes from production infrastructure work:

  • 99.9% production availability across FedRAMP-aligned SaaS platforms
  • 40% reduction in external attack surface through secure ingress architecture
  • 35% faster infrastructure provisioning, from two days to one hour
  • 30% improvement in release reliability through DevSecOps pipeline controls
  • 25% reduction in EKS P1 incident MTTR, from 4 hours to 30 minutes

I operate as a senior technical IC and architecture contributor. My primary focus is designing, implementing, and troubleshooting complex cloud infrastructure. I occasionally provide architectural guidance and technical mentoring to engineering teams while staying hands-on across infrastructure design, automation, and production troubleshooting.

Full Name: Prasad Takale
Gender: Male
Birth Date: 1 September 1987
Experience:
Email: yatintakale@gmail.com
Phone: (+91) 96658 74727
Nationality: Indian
Address: Pune, Maharashtra, India
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Years Experience
15+
Microservices Deployed
40%
Attack Surface Reduction
99.9%
Platform Availability

Core Expertise

Cloud, Kubernetes, platform engineering, and DevSecOps

Cloud Platform Engineering

Design and operate secure, scalable AWS platforms across commercial and regulated GovCloud environments.

Kubernetes & Microservices

Deploy and manage Kubernetes-based microservices platforms with ingress, service routing, autoscaling, and production troubleshooting.

Infrastructure as Code

Build reusable Terraform-based infrastructure for multi-environment deployments with consistency, speed, and auditability.

CI/CD & Release Automation

Design and optimize secure deployment pipelines using Jenkins and GitHub Actions with integrated quality and security controls.

DevSecOps & Compliance

Implement WAF, IAM, container scanning, and compliance-driven controls for secure cloud-native application delivery.

Observability & Reliability

Improve system reliability using monitoring, logging, alerting, and production incident troubleshooting across distributed platforms.

Key Achievements

Notable accomplishments throughout my career

Platform Standards & Compliance Delivery

Authored platform-wide Kubernetes and AWS infrastructure standards adopted across multiple application teams, resolving 100% of security audit findings within SLA. Integrated SonarQube, AWS Inspector v2, and Tenable into CI/CD pipelines with severity-based policy gates, improving deployment efficiency by 20% and closing all FedRAMP audit findings.

Cloud Architecture & Secure Platform Design

Designed end-to-end secure ingress architecture: API Gateway, VPC Link, NLB, ALB, EKS with AWS WAF and Cognito authentication. Architected and executed full AWS Commercial to GovCloud migration for production microservices with zero data loss, maintaining 99.9% availability and reducing external attack surface by 40%.

Platform Engineering & Infrastructure Automation

Designed reusable Terraform modules with standardised variable structures across dev, staging, and production GovCloud environments. Accelerated infrastructure provisioning by 35%, from two days to one hour, enabling engineering teams to provision environments independently without raising DevOps requests.

Reliability Engineering & DevSecOps

Implemented database-layer observability for Aurora PostgreSQL using pg_stat_statements, Loki, and Grafana dashboards. Diagnosed and resolved production WAF false-positive incidents using ScopeDownStatements. Reduced EKS P1 MTTR by 25% from 4 hours to 30 minutes, and improved release reliability by 30% through automated security gates.

Platform Projects

Real infrastructure work — problems, solutions, and measurable outcomes

AWS Commercial to GovCloud Migration

Architected and executed the full AWS Commercial to GovCloud migration for a production microservices platform. Redesigned VPC topology, IAM partition handling, Aurora PostgreSQL cluster, and GovCloud-specific API Gateway configuration. Delivered 100% FedRAMP compliance with zero data loss during cutover. Performed controlled PostgreSQL dump-and-restore with pre-cutover row count validation under live production workloads.

Stack: AWS GovCloud, VPC, IAM, Aurora PostgreSQL, API Gateway, EKS, Terraform

Secure EKS Ingress Architecture

Designed end-to-end secure ingress architecture for FedRAMP-aligned production environments: API Gateway → VPC Link → NLB → ALB → EKS with AWS WAF and Cognito authentication. Reduced external attack surface by 40% and eliminated direct public exposure of Kubernetes-hosted services. Diagnosed and resolved production WAF false-positive incidents using ScopeDownStatements and targeted IP set exclusions.

Stack: EKS, API Gateway, ALB, NLB, AWS WAF, Cognito, VPC Link, TLS

Terraform Multi-Environment Infrastructure

Designed reusable Terraform modules with standardised variable structures across dev, staging, production, and GovCloud environments. Eliminated per-environment rewrites and enabled consistent multi-environment deployments. Accelerated infrastructure provisioning by 35% — from two days to one hour.

Stack: Terraform, AWS, EKS, VPC, IAM, RDS, ECR

DevSecOps Pipeline with FedRAMP Compliance Gates

Designed and implemented Jenkins CI/CD pipelines integrating SonarQube (SAST), AWS Inspector v2 for container and EC2 vulnerability scanning, and Tenable with severity-based policy gates blocking Critical and High findings before deployment. Closed 100% of FedRAMP CI/CD audit findings and improved release reliability by 30%.

Stack: Jenkins, SonarQube, AWS Inspector v2, Tenable, ECR Image Scanning, GitHub Actions

EKS Self-Service Platform for App Teams

Architected an Amazon EKS platform with autoscaling, Helm deployment standards, RBAC, namespace isolation, IRSA-based service accounts, and ALB ingress. Enabled 2+ application teams managing 10+ microservices to deploy independently with standardised self-service workflows — eliminating manual DevOps involvement per deployment.

Stack: EKS, Helm, IRSA, RBAC, ALB, Jenkins, GitHub Actions, Terraform

Production Observability & MTTR Reduction

Implemented database-layer observability for Aurora PostgreSQL using pg_stat_statements, Loki, and Grafana dashboards. Provided query-level performance visibility that shortened root cause identification from hours to minutes. Reduced EKS P1 incident MTTR by 25% — from approximately 4 hours to 30 minutes.

Stack: Loki, Grafana, CloudWatch, ELK Stack, Aurora PostgreSQL, pg_stat_statements

My Experience

Education

  • Master of Computer Applications (MCA)

    Savitribai Phule Pune University, Pune

    2014


  • Bachelor of Science (B.Sc.)

    Annasaheb Magar Arts, Sciences and Commerce College, Pune

    2011


  • Certification

    Google Cloud Certified Associate Cloud Engineer

    Mar 2024

    Google Cloud

Experience

  • Senior DevOps Engineer

    TechnoMile, Pune

    Apr 2025 - Present

    • Designed end-to-end secure ingress architecture for FedRAMP-aligned production environments. Pattern: API Gateway, VPC Link, NLB, ALB, EKS with AWS WAF and Cognito authentication. Reduced external attack surface by 40% and eliminated direct public exposure of Kubernetes-hosted services.
    • Architected the full AWS Commercial to GovCloud migration for production microservices. Redesigned VPC topology, IAM partition handling, Aurora PostgreSQL cluster, and GovCloud-specific API Gateway regional configuration. Delivered 100% FedRAMP compliance with zero data loss during cutover.
    • Integrated SonarQube (SAST), AWS Inspector v2, and Tenable into Jenkins CI/CD pipelines. Configured severity-based policy gates blocking Critical and High vulnerability findings before deployment. Improved release reliability by 30% and closed 100% of FedRAMP CI/CD audit findings.
    • Designed reusable Terraform modules with standardised variable structures across dev, staging, and production GovCloud environments. Eliminated per-environment Terraform rewrites and enabled consistent multi-environment deployments. Accelerated infrastructure provisioning by 35%, from two days to 1 hour.
    • Diagnosed production WAF false-positive incidents caused by NAT and proxy IP aggregation. Implemented ScopeDownStatements and targeted IP set exclusions to restore precise threat blocking. Resolved the false-positive incidents with zero changes to application traffic flows.
    • Implemented database-layer observability for Aurora PostgreSQL using pg_stat_statements, Loki, and Grafana dashboards. Provided query-level performance visibility that shortened root cause identification from hours to minutes. Reduced EKS P1 incident MTTR by 25%, from approximately 4 hours to 30 minutes.
    • Designed and executed PostgreSQL migration from AWS Commercial to GovCloud under AWS partition restrictions that prevented cross-partition replication. Performed controlled dump-and-restore cutover with pre-cutover row count validation and coordinated application smoke testing with the development team. Completed migration with near-zero downtime and zero data loss under live production workloads.

    Tools Used:

    AWS GovCloud, Amazon EKS, Kubernetes, Terraform, Jenkins, GitHub Actions, API Gateway, WAF, ALB, NLB, AWS Cognito, AWS Inspector v2, AWS Security Hub, SonarQube, Tenable, Aurora PostgreSQL, Loki, Grafana, Docker, IRSA

  • DevOps Tech Lead

    Enterprise Minds, Pune

    Nov 2022 - Mar 2025

    • Architected Amazon EKS platforms with autoscaling, Helm deployment standards, RBAC, namespace isolation, IRSA-based service account configuration, and ALB ingress. Enabled 2+ application teams managing 10+ microservices to deploy to Kubernetes with standardised, self-service workflows. Eliminated manual DevOps involvement per deployment.
    • Eliminated manual deployment bottlenecks across 10+ microservices by standardising Jenkins and GitHub Actions CI/CD pipeline templates. Enabled consistent, repeatable release workflows across all application teams. Reduced average deployment cycle time and accelerated onboarding of new services.
    • Built reusable Terraform modules and self-service infrastructure automation for multi-environment AWS platform provisioning. Enabled application teams to provision environments independently without raising DevOps requests. Reduced infrastructure request lead time and removed DevOps as a provisioning bottleneck.

    Tools Used:

    AWS, Amazon EKS, Kubernetes, Terraform, Helm, Jenkins, GitHub Actions, IRSA, RBAC, ELK, Grafana

  • DevOps Engineer

    Enterprise Minds, Pune

    Nov 2020 - Oct 2022

    • Accelerated build-to-deploy cycle by 50% by designing and implementing Jenkins and Git-based CI/CD automation. Replaced manual release workflows with fully automated pipelines and increased engineering deployment throughput by 30%.
    • Reduced incident response time by 40% by implementing centralised observability using ELK Stack and Grafana. Consolidated logs, metrics, and alerts from distributed application environments into unified dashboards. Enabled faster root cause identification during production incidents.
    • Reduced cloud infrastructure costs by 30% while maintaining application reliability by implementing autoscaling policies, right-sizing EC2 instances based on CloudWatch utilisation analysis, and standardising deployment automation to eliminate over-provisioned environments.

    Tools Used:

    Jenkins, Git, AWS, ELK Stack, Grafana, CloudWatch, Docker, Linux

  • DevOps Engineer

    Yotta Infrastructure Solutions, Panvel

    May 2020 - Nov 2020

    • Accelerated deployments by 40% using CI/CD and Docker.
    • Reduced infrastructure cost by 30% via containerization.
    • Automated OS provisioning using Ansible and Huawei APIs.

    Tools Used:

    Jenkins, Git, Docker, Ansible

  • Staff Engineer - Cloud Operations

    Druva, Pune

    Apr 2019 - Apr 2020

    • Maintained 99.5%+ platform availability for AWS-hosted enterprise SaaS environments serving 150+ enterprise customers. Implemented proactive monitoring automation, operational runbooks, and cloud infrastructure optimisation workflows. Reduced reactive incident load through systematic operational improvements across production environments.
    • Increased cloud operations efficiency by 40% by automating repetitive operational workflows. Reduced manual toil and enabled the team to manage a growing infrastructure footprint without proportional headcount increase.
    • Reduced AWS infrastructure costs by 10% by implementing reserved instance planning aligned to utilisation patterns, autoscaling policy optimisation, and resource right-sizing across production SaaS environments.

    Tools Used:

    AWS, CloudFormation, Git, SaltStack, Monitoring, Automation

  • Cloud Operations Engineer

    Druva, Pune

    Jul 2016 - Apr 2019

    • Achieved FedRAMP and HIPAA compliance readiness across 100+ cloud servers by implementing security controls covering access management, audit logging, vulnerability remediation, and network hardening. Maintained 99.9% service availability throughout the compliance implementation programme.
    • Accelerated software release cycles by 30% by implementing SaltStack-based configuration management and deployment automation. Replaced manual infrastructure operations with repeatable, version-controlled workflows across AWS production environments.
    • Reduced AWS infrastructure costs by 20% by implementing capacity planning processes, identifying over-provisioned resources through utilisation analysis, and optimising instance sizing across production and non-production cloud environments.

    Tools Used:

    AWS, SaltStack, FedRAMP, HIPAA, Grafana, Elasticsearch, Linux, Cloud Security

  • Linux and VMware Server Administrator L2

    ASM Technologies, Navi Mumbai

    Apr 2015 - Jul 2016

    Client: Reliance Jio Infocomm Ltd
    • Supported deployment and provisioning of 10,000+ Linux servers and VMware VMs across Jio production platforms including JioMoney, JioPay, and SAP HANA. Reduced infrastructure provisioning time by 40% by designing automated VM templates and Kickstart-based deployment workflows.
    • Improved service availability by 30% by standardising Linux and VMware operational processes and automating routine infrastructure tasks across large-scale production environments.

    Tools Used:

    Linux (RHEL, Ubuntu, CentOS), Shell Scripting, VMware vSphere (ESXi, vCenter), Kickstart

Technology Stack

Cloud and Infrastructure

Cloud: AWS Commercial, AWS GovCloud, Cloud Architecture, Platform Engineering, FedRAMP, HIPAA, High Availability Architecture

IaC: Terraform (Modular IaC), CloudFormation, Ansible, GitOps, Self-Service Infrastructure

Networking: API Gateway, API Gateway VPC Link, ALB, NLB, AWS WAF, AWS Network Firewall, Transit Gateway, VPC, Security Groups, TLS, DNS

Kubernetes and Container Platform

Containers: Amazon EKS, Kubernetes, EKS Managed Node Groups, Docker, Helm, AWS Load Balancer Controller, ECR, IRSA, RBAC, Namespace Isolation, HPA/VPA, Kubernetes Platform Operations

CI/CD: Jenkins, GitHub Actions, AWS CodePipeline, DevSecOps, CI/CD Architecture

Scripting: Python, Bash, Git

Security and DevSecOps

Security: AWS WAF, AWS Network Firewall, AWS Cognito (User Pools, App Clients, Identity Provider), IAM (Roles, Custom Policies, IRSA), Zero Trust Architecture, CIS Benchmark Hardening

Scanning: AWS Inspector v2, SonarQube (SAST), Tenable, ECR Image Scanning, AWS Security Hub, Vulnerability Management, Secure SDLC

Compliance: FedRAMP, HIPAA, Compliance-Aligned Architecture

Observability and Data

Monitoring: ELK Stack, Grafana, CloudWatch, Loki, Kibana, Distributed Tracing, SLI/SLO, Production Troubleshooting, Root Cause Analysis

Databases: PostgreSQL, Aurora PostgreSQL, MongoDB, Ubuntu 22.04 CIS Hardening

Operations: Linux (RHEL, Ubuntu, CentOS), Incident Management, Platform Reliability

Open to Opportunities

Senior DevOps, Staff DevOps, Cloud Platform Engineer, DevSecOps, and Cloud Architecture roles at product-based companies. Open to Pune-based and remote India positions.

Get in Touch

What I'm Looking For

Hands-on technical roles where architecture, automation, and production impact matter

I'm open to senior technical IC opportunities at product-based companies where I can own and deliver infrastructure that matters — cloud platform engineering, Kubernetes architecture, DevSecOps automation, and production reliability.

Role Types

Senior / Staff DevOps Engineer • Cloud Platform Engineer • Kubernetes Platform Engineer • DevSecOps Engineer • Cloud Infrastructure Architect • DevOps Architect • Platform Engineering Lead (IC track)

What I Want to Do

Design and implement cloud architecture • Own platform automation end-to-end • Solve complex production problems • Build DevSecOps pipelines • Improve developer experience • Drive infrastructure reliability and observability

Preferences

Product-based companies • Pune-based or remote India • AWS / Kubernetes / Terraform-heavy environments • Compliance-aware or security-focused platforms • Hands-on technical ownership, not delivery management

Get in Touch

Let’s connect for DevOps and platform engineering opportunities

Email

yatintakale@gmail.com

Call

(+91) 96658 74727

Location

Pune, Maharashtra, India