Pranjeban Kara
@pranjebankara
DevOps engineer focused on cloud automation, Kubernetes-based data streaming, and faster, reliable deployments.
What I'm looking for
I’m a DevOps Engineer who turns infrastructure into measurable outcomes. At Xerox-Lexmark, I cut QA deployment time from 75 minutes to 35 minutes by optimizing pipelines, and I migrated enterprise applications from .NET 6 to .NET 10 across multi-environment Azure infrastructure.
I build scalable systems with a strong SRE mindset. I implemented a Kubernetes-based real-time data streaming and processing architecture for multi-team workloads, and I’m developing an autonomous AI cloud agent to support infrastructure automation, deployment orchestration, tenant transfer, monitoring, troubleshooting, and cloud cost optimization.
My background spans logging and platform automation, cloud architecture, and applied research. As a Net-DevOps Engineer, I automated syslogs collection for 350+ sites and built Python Kafka automation that improved efficiency by 27%; earlier, as a Cloud Architect Intern, I used Terraform to deliver highly available AWS/Azure infrastructure with 99.99% uptime and reduced manual provisioning by 40%.
Experience
Work history, roles, and key accomplishments
DevOps Engineer
Xerox-Lexmark
Jul 2025 - Present (11 months)
Optimized CI/CD pipelines to cut QA deployment time from 75 minutes to 35 minutes. Migrated enterprise apps from .NET 6 to .NET 10 across multi-environment Azure infrastructure and implemented a Kubernetes-based real-time streaming architecture for scalable multi-team workloads.
Automated syslog collection for 350+ sites using Grafana and Promtail, including support for 20 critical sites. Built Kafka producer-consumer automation to balance load across nodes and improve efficiency by 27%, enabling consolidated log monitoring across global locations.
Cloud Architect Intern
Ambula Technologies Private Limited
Apr 2024 - Jul 2024 (3 months)
Designed scalable, highly available cloud infrastructure on AWS and Azure using Terraform. Automated provisioning and deployment to reduce manual interventions by 40%, improved infra-to-deployment time, and supported 99.99% uptime with 1 hour annual downtime.
Worked on predicting power consumption of non-smart devices using smart-device data and supporting model selection through research across multiple papers. Achieved 97.45% accuracy using a modified ALC model aligned to project objectives.
Education
Degrees, certifications, and relevant coursework
Institute of Technical Education and Research (Siksha 'O' Anusandhan)
B.Tech in Computer Science and Information Technology, Computer Science and Information Technology
2021 - 2025
Grade: 8.33
Completed a B.Tech in Computer Science and Information Technology at the Institute of Technical Education and Research (Siksha 'O' Anusandhan), graduating in 2025. GPA: 8.33.
Availability
Location
Authorized to work in
Job categories
Interested in hiring Pranjeban?
You can contact Pranjeban and 90k+ other talented remote workers on Himalayas.
Message PranjebanFind your dream job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
