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Anurag MundeAM
Looking for a job

Anurag Munde

@anuragmunde

Cloud security-focused software engineer building scalable AppSec and SCA platforms.

India
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What I'm looking for

I’m seeking roles focused on cloud-native application security, developer tools or platform engineering where I can build scalable, secure systems and integrate AppSec into CI/CD.

I am a software engineer specializing in cloud-native application security, currently building the Code2Cloud security platform at Cloudanix. My journey began in game development and evolved into creating tools that solve meaningful engineering problems.

At Cloudanix I contributed to a native-code cloud security platform providing SCA, SAST, and secret scanning, and designed event-driven serverless systems to scale across thousands of repositories. I led migrations from Azure to AWS and re-architected workloads onto Amazon EKS.

I have hands-on experience integrating and working with leading AppSec and SCA tools such as Semgrep, CycloneDX, Trivy, OSVscanner and others, and independently developed CI/CD extensions for Azure DevOps and GitLab to bring container security into customer pipelines.

My projects include a computer-vision gesture navigation tool and a secure FTP client, demonstrating practical skills across Python, Rust integrations, CV libraries, and cryptography. I value scalable, secure designs and enjoy building developer-facing tools that improve security posture.

Experience

Work history, roles, and key accomplishments

CL
Current

Software Engineer

Cloudanix

Sep 2024 - Present (1 year 9 months)

Contributed to a native cloud security platform (SCA, SAST, secret scanning), designed event-driven serverless systems to scale across thousands of repos, and migrated services from Azure to AWS/EKS improving platform scalability and integration with CI/CD pipelines.

Education

Degrees, certifications, and relevant coursework

Savitribai Phule Pune University logoSU

Savitribai Phule Pune University

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2020 - 2024

Grade: 8.9

Completed a Bachelor of Engineering in Artificial Intelligence and Machine Learning with coursework in algorithms, deep learning, networking, and operating systems; graduated with a 8.9 GPA.

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