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Sritej Panchumarthi

Senior DevOps & Cloud Infrastructure Engineer specializing in cloud infrastructure, DevSecOps, large-scale web platforms, AI-integrated security automation, and production-grade distributed systems.

Professional Background

Over the years, I have worked extensively across AWS cloud architecture, Kubernetes, CI/CD automation, observability, platform engineering, security engineering, and edge infrastructure operations. My professional experience includes building and managing enterprise-scale systems supporting millions of users in telecommunications and digital commerce environments.

Currently, I work as a Senior DevOps Engineer at DISH Wireless LLC, specifically supporting Boost Mobile. DISH Wireless LLC is part of EchoStar.com, where I contribute to cloud infrastructure, production operations, automation, security, observability, and platform reliability initiatives.

I have collaborated across multiple engineering domains including platform engineering, application engineering, security, SEO, networking, CDN operations, and AI integration initiatives.

AWS cloud infrastructure engineering Kubernetes (EKS) platform operations DevSecOps & CI/CD automation IAM design Edge & CDN integrations DNS & networking architecture AI-assisted code quality Enterprise observability

Areas of Expertise

Cloud & Infrastructure

AWSKubernetes / EKSECS / Fargate EC2Infrastructure as CodeCloudFront / CDN Load Balancing

DevOps & Automation

GitLab CI/CDDevSecOps workflowsDeployment automation Release engineeringProduction operationsDocker

Security Engineering

IAM / least privilegeSecurity scanning automationCloud security AI-driven code validationCompliance engineeringInfrastructure hardening

Observability & Reliability

DynatraceDistributed loggingMetrics & monitoring Production debuggingIncident responseReliability engineering

Research & Publications

In addition to industry engineering work, I actively contribute to technical research focused on DevSecOps, AI security integration, and machine learning security pipelines.

Published research includes:

DevSecMLOps: A Security Framework for Machine Learning Pipelines
Embedding Security into Pipelines: A DevSecOps Blueprint

Research interests:

Secure AI infrastructureDevSecOps automationAI-driven security analysis Cloud-native securityML pipeline securitySecure CI/CD systems

View full research portfolio →

Certifications

AWS Certified Security – Specialty
AWS Certified DevOps Engineer – Professional

Technical Philosophy

I strongly believe that modern infrastructure engineering should prioritize:

Security by designAutomation-firstScalable & resilient Observability-drivenContinuous improvement

Personal Projects

Outside of enterprise engineering work, I actively experiment with:

Raspberry Pi infrastructureHome automationNAS & private cloud Network optimizationAI agent architecturesPersonal cloud platforms

See project write-ups →

Vision

My long-term vision is to contribute to the advancement of secure, scalable, and intelligent cloud infrastructure systems that support the next generation of AI-enabled platforms and digital services. I'm particularly interested in the intersection of Artificial Intelligence, Cloud Infrastructure, Security Engineering, DevSecOps Automation, and Large-scale Distributed Systems.