Parag Gupta

DevOps Engineer

Noida, Uttar Pradesh, India10 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Architected systems handling millions of transactions daily.
Delivered over $500K in cost optimizations.
Reduced incident response time by 40%.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in SaaS and Fintech solutions.

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Skills

Core Skills

Cloud ComputingAutomationMonitoring & ObservabilityInfrastructureData Engineering

Other Skills

AIAI-powered Cortex metrics analyzerAPI GatewayAWSAirflowAmazon EC2Amazon ECSAmazon S3AngularAnsibleApache KafkaCI/CDCephCloud SecurityCloud deployments

About

DevOps Engineer and Cloud Architect with 9+ years of experience transforming infrastructure challenges into elegant, efficient solutions. I've architected systems that handle millions of transactions daily, including a 4000-core OpenStack cluster and AI-powered monitoring solutions that reduced incident response time by 40%. My approach combines technical expertise with business awareness, having delivered over $500K in cost optimizations while improving system reliability. I'm passionate about creating infrastructure that empowers teams rather than constraining them, whether using Kubernetes, Terraform, or custom Python automation. What drives me is seeing the real-world impact of well-designed systems – from accelerating developer workflows to ensuring critical services remain available for users worldwide. I bring deep expertise across cloud platforms (AWS, GCP, Alibaba), container orchestration, infrastructure as code, and security implementation – all applied with a focus on practical outcomes that deliver business value. Technical Expertise: • Cloud & Infrastructure: AWS, GCP, Alibaba Cloud, OpenStack, Terraform, Docker, Kubernetes • Automation & CI/CD: Python, Shell Scripting, Jenkins, Ansible, Saltstack, Puppet, Airflow • Monitoring & Observability: Prometheus, Grafana, ELK Stack, Zabbix, Nagios • Systems & Networking: Linux (CentOS/Ubuntu), KVM, QEMU, Libvirt, IP Tables, OpenVPN • Security: Vulnerability Management, Policy Compliance, Security Auditing, IAM, OSSEC • Data Storage & Management: MySQL, PostgreSQL, Aerospike, Redis, GlusterFS, Dell EMC

Experience

10 yrs

Total Experience

2 yrs

Average Tenure

4 yrs 6 mos

Current Experience

Adobe

2 roles

Computer Scientist-II

Promoted

Jan 2025 – Present · 1 yr 5 mos · Noida, Uttar Pradesh, India

▪Engineered an AI-powered Cortex metrics analyzer that automatically detected system anomalies and provided root cause analysis, reducing MTTR by 40%
▪Built an AI-powered platform that converts natural language instructions into executable Ansible playbooks, featuring NLP understanding, automatic playbook generation, interactive validation, and integration with existing Ansible infrastructure.
▪Implemented a PII detection and redaction solution for application logs, enhancing security compliance while maintaining system observability
▪Created modular Terraform components that automated cloud infrastructure provisioning, reducing environment deployment time from days to hours
▪Migrated 26 services to Ethos (Adobe Cloud Foundation platform for managed Kubernetes), improving scalability and reducing operational overhead by 35%

AI-powered Cortex metrics analyzerAnsibleTerraformKubernetesCloud ComputingAutomation

Computer Scientist-I

Dec 2021 – Jan 2025 · 3 yrs 1 mo · Noida, Uttar Pradesh, India

▪Designed and implemented secure cloud deployments with comprehensive guardrails for Adobe Journey Optimizer
▪Built a Streamlit-based dashboard to audit configuration files, improving operational visibility by 65%
▪Automated Big Data component deployment using Python and Airflow, reducing manual intervention by 70%
▪Led tech stack optimization initiatives resulting in annual savings of $376,000 through resource consolidation
▪Developed disaster recovery solutions for revenue-impacting components, reducing potential downtime by 85%

Cloud deploymentsStreamlitPythonAirflowCloud ComputingAutomation

Media.net

Site Reliability Engineer

Feb 2021 – Dec 2021 · 10 mos

▪Designed & Deployed a Reliable and Scalable Kubernetes Cluster(v1.22) on Data-Centre following the best industry standards and security measures allowing multiple teams to use it as a CAAS solution
▪Optimised & Benchmarked in-house java applications and integrated them with instrumentation monitoring in-order to become more objective
▪Revamp infrastructure monitoring to speed cloud migration, predict inventory needs, scale and gain real insights from data
▪Introduced Service Mesh in current tech-stack to simplify service discovery in complex networking environments, and streamline deploying applications

KubernetesJavaService MeshInfrastructure

Tokopedia

Senior Engineer DataOps

Oct 2019 – Feb 2021 · 1 yr 4 mos · Noida, Uttar Pradesh, India

▪Architected data engineering tech stack on GCP, enabling scalable analytics capabilities across the organization
▪Established highly available Airflow clusters supporting business intelligence requirements across multiple departments
▪Implemented cost optimization initiatives that reduced GCP expenses by 30-40%
▪Designed hybrid (GCP + Alibaba) network architecture with robust security controls including Vault, access management, and comprehensive logging
▪Configured Grafana and Prometheus monitoring for critical components, reducing alert response time by 60%
▪Reduced application downtime by automating Unit & Integration Test Suite and publishing detailed reports to Dev

GCPAirflowGrafanaPrometheusCloud ComputingData Engineering

Paytm

Engineer DevOps

Dec 2017 – Oct 2019 · 1 yr 10 mos · Noida, Uttar Pradesh, India

▪Managed hybrid infrastructure (hardware + cloud) for Wallet and Payment Gateway systems processing millions of transactions daily
▪Migrated QA environment from AWS to OpenStack, delivering 45% cost reduction while maintaining performance
▪Implemented high availability architecture that eliminated single points of failure across critical payment systems
▪Automated infrastructure provisioning and configuration management using Salt and Ansible, reducing deployment errors by 85%
▪Configured and optimized ELK stack to handle over 50TB of log data, improving troubleshooting efficiency by 70%

AWSOpenStackSaltAnsibleELKInfrastructure

To the new

Engineer DevOps

Jun 2016 – Dec 2017 · 1 yr 6 mos · Noida, Uttar Pradesh, India

▪Designed application architecture and containerization strategy for GRAILS and Angular applications
▪Implemented CI/CD pipelines with Jenkins, reducing deployment time by 75%
▪Orchestrated containerized workloads using Kubernetes, improving resource utilization by 40%
▪Developed Technical Content for Alibaba Cloud Services.
▪Managed Routing and Authentications using API Gateway
▪Automated Backups, Snapshots and DR recovery methods
▪Established centralized logging using EFK stack and performance monitoring with NewRelic, Pingdom, and PagerDuty
▪Created cost optimization dashboards with Grafana, identifying savings opportunities that reduced cloud spending by 25%

CI/CDJenkinsKubernetesAPI GatewayAutomation