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Aishee Roychaudhuri

@aisheeroychaudhuri

Cloud & DevOps Engineer at HCLTechnologies who cut deployment cycles and cloud costs while building integrated cloud platforms.

Germany

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What I'm looking for

I’m looking for a long-term opportunity where I can contribute across cloud infrastructure, systems integration, and engineering, in an organisation that values infrastructure depth and engineering rigour. I’m open to full-time and Werkstudent roles across the EU.

At HCLTechnologies Ltd., I designed and deployed cloud infrastructure across Azure, AWS, GCP, and VMware, and built CI/CD pipelines that reduced manual release effort by about 40%.

I also developed monitoring and alerting that reduced cloud subscription costs by 12%. I led a sub-team of three engineers and supported production releases across EU and US client engagements.

At FH Aachen, I designed and delivered a cloud-hosted collaborative platform for GI Scientific Project Forum, including its database schema, authentication, real-time events, and GDPR-compliant access controls. I integrated Google Gemini AI and delivered the platform in seven languages.

For my Pizzeria Webshop distributed systems project, I built a five-service system and implemented bidirectional OData v4 synchronization with SAP-CAP ERP. I’m pursuing an MSc in Information Systems and am looking to contribute long-term in an organisation that values infrastructure depth and engineering rigour.

Experience

Work history, roles, and key accomplishments

Software Engineer (Cloud & DevOps)

HCL Technologies

Feb 2021 - Aug 2025 (4 years 6 months)

Designed and deployed cloud infrastructure across Azure, AWS, GCP, and VMware using AKS, Helm, Terraform, Docker, and CI/CD automation. Built and optimized CI/CD pipelines, reducing manual release effort by ~40% and cutting deployment cycle time.

Software Engineer Intern

The Quantta Analytics Pvt Ltd

Jan 2020 - Apr 2020 (3 months)

Built automated data collection pipelines and managed geolocation datasets in PostgreSQL, gaining early hands-on exposure to data infrastructure and backend tooling.

PostgreSQL Data Pipelines Data Collection Geolocation