Dev Agrawal
@devagrawal
Senior Software Engineer specializing in cloud-native DevOps, DevSecOps, and infrastructure automation.
IndiaWhat I'm looking for
I am a Senior Software Engineer focused on cloud-native application development, DevOps, and DevSecOps with extensive experience building secure, scalable CI/CD pipelines and infrastructure automation on AWS.
I have delivered production-ready solutions including Python-based security APIs for CI tollgates, CloudFormation-driven AWS Lambda automation, and integrated governance with OpsLevel to enforce service maturity and compliance. My work reduced manual setup by 70%, halved build times, and blocked risky application access to vulnerable production data.
I emphasize security automation, observability, and reliability by integrating tools such as Jenkins, SonarQube, Snyk, Checkmarx, Aqua, Docker, Kubernetes, and Terraform. I hold Terraform Associate and AWS Cloud Practitioner certifications and a B.Tech. in Computer Science.
Experience
Work history, roles, and key accomplishments
Designed Python-based REST APIs to enforce CI security tollgates and integrated service governance via OpsLevel, improving deployment safety and operational visibility and blocking 20% of applications from accessing vulnerable production data.
Implemented DevSecOps automation and governance across AWS environments, reducing MTTR and preventing 20-30% of vulnerabilities from reaching production while enforcing least-privilege across 37 accounts.
Engineered CloudFormation-based AWS Lambda infrastructure and automated CI/CD pipelines integrating SonarQube, Jenkins, Kubernetes and Docker, reducing manual setup by 70% and build times by 50%.
Built IaC and CI/CD automation for AWS Lambdas and containerized services, reducing manual setup by 70% and build times by 50% while driving 30% increase in library adoption via automated enforcement tools.
Research Intern
National Institute of Technology
Mar 2021 - May 2021 (2 months)
Co-authored a research publication on hybrid bagging spam detection using SVM and Random Forests and developed a metadata-driven recommendation framework leveraging XGBoost and genetic algorithms.
Research Intern
National Institute of Technology Tiruchirappalli
Mar 2021 - May 2021 (2 months)
Conducted research on spam detection and recommendation systems, co-authoring a publication on hybrid bagging methods and developing an XGBoost/genetic-algorithm framework for course recommendations.
Education
Degrees, certifications, and relevant coursework
Jaypee Institute of Information Technology
Bachelor of Technology, Computer Science
2018 - 2022
Completed a B.Tech. in Computer Science with coursework and projects focused on software engineering, machine learning, and cloud technologies.
Availability
Location
IndiaAuthorized to work in
Portfolio
darkstarp.github.io/portfolioSocial media
Job categories
Skills
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